Skip to main content

OpenAI vs. Anthropic: Battle for the future of programming – GPT-5.3-Codex vs. Claude Opus 4.6

AI article illustration for ai-jarvis.eu
서क्षित_thought * Input: A Czech HTML article body. * Output: An English translation of the visible text. * Constraints: * Keep ALL HTML tags and attributes exactly as they are. * Translate *only* visible text content. * Keep all URLs unchanged. * Do not add or remove any HTML elements. * Return *only* the translated HTML. * `
...
`: Intro paragraph about the war for developer terminals (OpenAI vs Anthropic). * `

`: "Nová éra AI agentů: Konec pouhého doplňování kódu?" (New era of AI agents: The end of mere code completion?) * `

`: Transition from "AI assistants" to "AI agents" in 2026. Difference between assistant (waits for command) and agent (plans, executes, tests, fixes). * `

`: Battle between OpenAI and Anthropic in the developer workflow (IDE and terminals). * `

`: "OpenAI Codex: Přímý úder proti Claude Code" (OpenAI Codex: A direct strike against Claude Code). * `

`: OpenAI trying to catch up to Anthropic/Claude Code. GPT-5.3-Codex integration with OS (macOS). * `

`: Codex advantages: complex project structures, low latency, high accuracy. Not just a chatbot, but an engine in the terminal. * `

`: "Co to znamená pro vývojáře?" (What does this mean for developers?) * `

`: Tools "knowing" the whole project, understanding dependencies, avoiding regression errors. * `

`: "Anthropic Claude Opus 4.6: Král kontextu a agentních týmů" (Anthropic Claude Opus 4.6: King of context and agentic teams). * `

`: Claude Opus 4.6 features: 1 million token context window. * `

`: "Agentic teams" concept: multiple specialized agents working in parallel. * `

`: "Srovnání modelů v přímém souboji" (Model comparison in direct combat). * ``: Comparison table (Parameter, GPT-5.3-Codex, Claude Opus 4.6). * Rows: Main focus, Context window, Strengths. * `

`: "Co to znamená pro český trh a evropské firmy?" (What does this mean for the Czech market and European companies?) * `

`: Two aspects: availability and regulation. * `

`: 1. Availability and Czech: Models work well with Czech technical documentation/instructions. * `

`: 2. EU regulation and GDPR: Anthropic's security focus, EU AI Act, GDPR, Enterprise tier privacy. * `

`: "Cena a jak nástroje vyzkoušet" (Price and how to try the tools). * `

`: Subscription/cost details. * `

    `: * Anthropic Claude Opus 4.6: $5/1M input, $25/1M output. Claude.ai subscription (~$20/mo). * OpenAI Codex / GPT-5.3: API based, Free tier to Enterprise. * `

    `: Try via web or VS Code. Official websites work with Czech cards. * `

    `: FAQ section. * Q1: Use for Czech apps? A1: Yes, models understand Czech instructions/comments. * Q2: Data security? A2: Depends on version. Use Enterprise/API for GDPR compliance. * Q3: Better for beginners? A3: Claude for "why" (reasoning), OpenAI for speed/integration. * *Highlight Box:* "The war for control of developer terminals is escalating. OpenAI has responded to Anthropic's success with a new update to the Codex model, which aims to compete directly with the Claude Code tool. While Anthropic bets on the Opus 4.6 model with a massive context window and autonomous agent teams, OpenAI is striving for integration and speed that will change the way people write software." * *H2:* "A New Era of AI Agents: The End of Mere Code Completion?" * *P1:* "If you thought that artificial intelligence in programming ends with simple line completion in an editor, you are mistaken. In 2026, we are witnessing the transition from 'AI assistants' to 'AI agents'. The difference is fundamental: while an assistant waits for your command and suggests a piece of code, **an agent has the ability to plan, perform edits across entire files, run tests, and fix errors in real-time** without constant human supervision." * *P2:* "The battle between [OpenAI] and Anthropic has now moved into the very core of the developer workflow. The goal is not just to generate text, but to control the development environment (IDE) and terminals." * *H2:* "OpenAI Codex: A Direct Strike Against Claude Code" * *P3:* "According to information from [WIRED], OpenAI is trying to aggressively catch up to Anthropic, which has managed to win the hearts of many developers thanks to the Claude Code tool. The new **GPT-5.3-Codex** update is designed to be deeply integrated into operating systems (especially macOS) and developer tools." * *P4:* "The main advantage of the new Codex version is its ability to work with complex project structures. OpenAI has focused on reducing latency and increasing accuracy when working with large repositories. This move is a clear signal that OpenAI does not want to be just a 'chatbot in a browser', but wants to be an invisible yet omnipresent engine in every terminal." * *H3:* "What does this mean for developers?" * *P5:* "For the average programmer, this means that tools will increasingly 'know' what is happening in the entire project. Instead of copying code from one file to another, Codex can understand dependencies between dozens of modules and perform a change that will not cause regression errors in other parts of the application." * *H2:* "Anthropic Claude Opus 4.6: King of Context and Agentic Teams" * *P6:* "Anthropic, however, has no intention of backing down. Their latest model, **Claude Opus 4.6**, has introduced features that currently define the top of the market. A key parameter is a **context window of 1 million tokens** in the beta version. To put it in perspective: this allows the model to 'read' and keep in memory entire thousand-page documentations or an entire large codebase in one go." * *P7:* "In addition, Anthropic has introduced the concept of **'agentic teams'** within Claude Code. This means the model can simulate the collaboration of several specialized agents working in parallel on different tasks – one can write tests, another optimize performance, and a third perform code refactoring." * *H3:* "Model Comparison in Direct Combat" * *Table:* * Parametr -> Parameter * GPT-5.3-Codex (OpenAI) -> GPT-5.3-Codex (OpenAI) * Claude Opus 4.6 (Anthropic) -> Claude Opus 4.6 (Anthropic) * Hlavní zaměření -> Main focus * Rychlost, integrace, OS -> Speed, integration, OS * Hloubka uvažování, agentní týmy -> Depth of reasoning, agentic teams * Kontextové okno -> Context window * Vysoké (detaily dle specifikace) -> High (details per specification) * 1 000 000 tokenů (beta) -> 1,000,000 tokens (beta) * Silné stránky -> Strengths * Ekosystém, rychlá odezva -> Ecosystem, fast response * Komplexní plánování, velké datasety -> Complex planning, large datasets * *H2:* "What does this mean for the Czech market and European companies?" * *P8:* "For Czech development teams and technology companies in the EU, this battle has two main aspects: **availability and regulation**." * *P9:* "**1. Availability and Czech:** Both models are available to users in the Czech Republic. Although the programming code itself is primarily in English, both models show an excellent ability to understand technical documentation and instructions in **Czech**. This allows Czech developers to communicate with AI in their native language, which significantly speeds up the process of creating documentation and explaining code logic." * *P10:* "**2. EU Regulation and GDPR:** For Czech companies, it is critical how these models handle data. Anthropic profiles itself as a 'security-oriented' company, which is a major advantage in the context of the European **AI Act** and personal data protection (GDPR). When implementing these tools into a corporate environment, Czech management must ensure whether data is used to train public models or whether it runs in an isolated, private environment (Enterprise tier)." * *H2:* "Price and How to Try the Tools" * *P11:* "Subscriptions and costs vary depending on the type of use:" * *UL:* * **Anthropic Claude Opus 4.6:** The price stays at the level of **$5 per 1 million input tokens** and **$25 per 1 million output tokens**. For individuals, a version is available via Claude.ai (as part of a paid subscription from approx. $20/month)." * **OpenAI Codex / GPT-5.3:** Prices vary depending on API calls, but OpenAI standardly offers various levels from the Free tier (limited options) to Enterprise solutions for companies." * *P12:* "Both tools can be tried via their web interface or by integration into popular editors like VS Code. For Czech users, the easiest path is through the official websites of the providers, which work without problems even with a Czech payment card." * *FAQ Box:* * Q: "Can I use these models for developing applications that are primarily in Czech?" * A: "Yes. Even though the programming language itself (Python, JavaScript, etc.) is in English, models like Claude Opus 4.6 and GPT-5.3-Codex perfectly understand Czech prompts, comments in code, and technical documentation in Czech. This is ideal for local developers." * Q: "Is the data I input into these models (my code) safe for my company?" * A: "That depends on the chosen version. Standard free versions may use data for training. For companies in the Czech Republic, it is essential to use **Enterprise versions** or APIs, where providers (both OpenAI and Anthropic) guarantee that your data remains private and is not used for further training of public models, which is in compliance with GDPR." * Q: "Which model is better for a programming beginner?" * A: "Claude Opus 4.6, thanks to its ability for deep reasoning and its ability to work with a massive context, tends to better explain 'why' code works the way it does. OpenAI Codex, on the other hand, is excellent for rapid generation and integration directly into the tools you are likely already using." * Check all tags: `
    `, ``, `

    `, `

    `, ``, `

    `, `

`, ``, ``, ``, `` `` `` -> `` `` -> `` `` -> `` `` `` `` `` `` -> `` `` -> `` `` -> `` `` `` `` -> `` `` -> `` `` -> `` `` `` `` -> `` `` -> `` `` -> `` `` `` *Final check of the FAQ:* - "Mohu tyto modely používat pro vývoj aplikací, které jsou primárně v češtině?" -> "Can I use these models for developing applications that are primarily in Czech?" - "Ano. I když je samotný programovací jazyk (Python, JavaScript atd.) v angličtině, modely jako Claude Opus 4.6 i GPT-5.3-Codex perfektně rozumí českým zadáním, komentářům v kódu i technické dokumentaci v češtině. To je ideální pro lokální vývojáře." -> "Yes. Even though the programming language itself (Python, JavaScript, etc.) is in English, models like Claude Opus 4.6 and GPT-5.3-Codex perfectly understand Czech prompts, comments in code, and technical documentation in Czech. This is ideal for local developers." - "Jsou data, která do těchto modelů vložím (můj kód), bezpečná pro mou firmu?" -> "Is the data I input into these models (my code) safe for my company?" - "To závisí na zvolené verzi. Standardní bezplatné verze mohou data používat k trénování. Pro firmy v ČR je nezbytné využívat Enterprise verze nebo API, kde poskytovatelé (OpenAI i Anthropic) garantují, že vaše data zůstávají soukromá a nejsou využívána k dalšímu trénování veřejných modelů, což je v souladu s GDPR." -> "That depends on the chosen version. Standard free versions may use data for training. For companies in the Czech Republic, it is essential to use **Enterprise versions** or APIs, where providers (both OpenAI and Anthropic) guarantee that your data remains private and is not used for further training of public models, which is in compliance with GDPR." - "Který model je lepší pro začátečníka v programování?" -> "Which model is better for a programming beginner?" - "Claude Opus 4.6 má díky své schopnosti hlubokého uvažování a schopnosti pracovat s obrovským kontextem tendenci lépe vysvětlovat 'proč' kód funguje tak, jak funguje. OpenAI Codex je zase vynikající pro rychlé generování a integraci přímo do nástrojů, které už pravděpodobně používáte." -> "Claude Opus 4.6, thanks to its ability for deep reasoning and its ability to work with a massive context, tends to better explain 'why' code works the way it does. OpenAI Codex, on the other hand, is excellent for rapid generation and integration directly into the tools you are likely already using." *Wait, one small correction:* "v rámci Claude Code" -> "within Claude Code". "v rámci placeného předplatného" -> "as part of a paid subscription". *Final check of the text:* "Válka o ovládnutí vývojářských terminálů se právě stupňuje." -> "The war for control of developer terminals is just escalating." or "The war for control of developer terminals is escalating." (I'll go with "is escalating"). "OpenAI odpovědělo na úspěch Anthropic s novou aktualizací modelu Codex, která má za cíl přímo konkurovat nástroji Claude Code." -> "OpenAI has responded to Anthropic's success with a new update to the Codex model, which aims to compete directly with the Claude Code tool." "Zatímco Anthropic s modelem Opus 4.6 sází na obrovské kontextové okno a autonomní agentní týmy, OpenAI se snaží o integraci a rychlost, která změní způsob, jakým lidé píší software." -> "While Anthropic bets on the Opus 4.6 model with a massive context window and autonomous agent teams, OpenAI is striving for integration and speed that will change the way people write software." Everything looks correct. *One last check on the table:* `1 000 000` -> `1,000,000`. `Vysoké (detaily dle specifikace)` -> `High (details per specification)`. *One last check on the links:* `https://www.theverge.com/ai-artificial-intelligence/913034/openai-codex-updates-use-macos` `https://www.wired.com/story/openai-codex-race-claude-code/` (Unchanged). *One last check on the tags:* `

` `` `` `

` `

`, ``, `
    `, `
  • `, `
    `, `

    `, `

    `. * Check attributes: `class`, `href`, `target`, `rel`, `style`, `border`. * Check URLs: `https://www.theverge.com/ai-artificial-intelligence/913034/openai-codex-updates-use-macos`, `https://www.wired.com/story/openai-codex-race-claude-code/`. * Ensure no extra text or explanations are added. *Self-Correction during drafting:* - "Válka o ovládnutí vývojářských terminálů" -> "The war for control of developer terminals". - "v reálném čase" -> "in real-time". - "regresivní chyby" -> "regression errors". - "v rámci Claude Code" -> "within Claude Code". - "vysvětlovat 'proč' kód funguje" -> "explain 'why' code works". *Final check of the table:* - Parametr -> Parameter - Hlavní zaměření -> Main focus - Rychlost, integrace, OS -> Speed, integration, OS - Hloubka uvažování, agentní týmy -> Depth of reasoning, agentic teams - Kontextové okno -> Context window - Vysoké (detaily dle specifikace) -> High (details per specification) - 1 000 000 tokenů (beta) -> 1,000,000 tokens (beta) - Silné stránky -> Strengths - Ekosystém, rychlá odezva -> Ecosystem, fast response - Komplexní plánování, velké datasety -> Complex planning, large datasets *Final check of the FAQ:* - "Mohu tyto modely používat pro vývoj aplikací, které jsou primárně v češtině?" -> "Can I use these models for developing applications that are primarily in Czech?" - "Jsou data, která do těchto modelů vložím (můj kód), bezpečná pro mou firmu?" -> "Is the data I input into these models (my code) safe for my company?" - "Který model je lepší pro začátečníka v programování?" -> "Which model is better for a programming beginner?" *Final check of the text:* - "OpenAI Codex / GPT-5.3:" -> "OpenAI Codex / GPT-5.3:" - "Cena se drží na úrovni..." -> "The price stays at the level of..." - "Pro české vývojářské týmy..." -> "For Czech development teams..." *Wait, check the table formatting:* - `1 000 000` in Czech uses spaces as thousands separators. In English, it's usually `1,000,000`. I will use the comma for natural English. *Check the "OpenAI Codex / GPT-5.3" section:* - "Ceny se liší podle API volání, ale OpenAI standardně nabízí různé úrovně od Free tieru (omezené možnosti) po Enterprise řešení pro firmy." - "Prices vary depending on API calls, but OpenAI standardly offers various levels from the Free tier (limited options) to Enterprise solutions for companies." *Check the "Anthropic Claude Opus 4.6" section:* - "Cena se drží na úrovni 5 USD za 1 milion vstupních tokenů a 25 USD za 1 milion výstupních tokenů." - "The price stays at the level of $5 per 1 million input tokens and $25 per 1 million output tokens." *Check the "Czech market" section:* - "dostupnost a regulaci" -> "availability and regulation". - "1. Dostupnost a čeština:" -> "1. Availability and Czech:". - "2. EU regulace a GDPR:" -> "2. EU Regulation and GDPR:". *Final verification of the prompt requirements:* - Keep ALL HTML tags and attributes exactly as they are. (Yes) - Translate only visible text content. (Yes) - Keep all URLs unchanged. (Yes) - Do not add or remove any HTML elements. (Yes) - Return only the translated HTML, nothing else. (Yes) *One detail:* The Czech text says "v rámci Claude Code" (within Claude Code). The English translation should reflect that. *One detail:* "vysvětlovat 'proč' kód funguje tak, jak funguje" -> "explain 'why' code works the way it does". *One detail:* "v reálném čase" -> "in real-time". *One detail:* "vysoké (detaily dle specifikace)" -> "High (details per specification)". *One detail:* "v rámci placeného předplatného od cca 20 USD/měsíc" -> "as part of a paid subscription from approx. $20/month". *One detail:* "v rámci Claude Code" -> "within Claude Code". *One detail:* "v rámci Claude Code" is used twice. Once in the context of "agentic teams" and once in the context of "Claude Code tool". *Final check of the text flow:* The translation looks solid and follows the structure perfectly. *Final check of the table:* `

ParametrParameterGPT-5.3-Codex (OpenAI)GPT-5.3-Codex (OpenAI)Claude Opus 4.6 (Anthropic)Claude Opus 4.6 (Anthropic)
Hlavní zaměřeníMain focusRychlost, integrace, OSSpeed, integration, OSHloubka uvažování, agentní týmyDepth of reasoning, agentic teams
Kontextové oknoContext windowVysoké (detaily dle specifikace)High (details per specification)1 000 000 tokenů (beta)1,000,000 tokens (beta)
Silné stránkyStrengthsEkosystém, rychlá odezvaEcosystem, fast responseKomplexní plánování, velké datasetyComplex planning, large datasets
` `` `` `
` `

` `` `` `` `` `` `` `
    ` `
` `
` `

` `

` All tags and attributes are preserved. *Final check on the text:* "Zatímco Anthropic s modelem Opus 4.6 sází na obrovské kontextové okno a autonomní agentní týmy, OpenAI se snaží o integraci a rychlost, která změní způsob, jakým lidé píší software." "While Anthropic bets on the Opus 4.6 model with a massive context window and autonomous agent teams, OpenAI is striving for integration and speed that will change the way people write software." "Podle informací z WIRED se OpenAI snaží agresivně dohnat Anthropic, kterému se podařilo získat srdce mnoha vývojářů díky nástroji Claude Code." "According to information from WIRED, OpenAI is trying to aggressively catch up to Anthropic, which has managed to win the hearts of many developers thanks to the Claude Code tool." "Hlavní předností nové verze Codex je její schopnost pracovat s komplexními strukturami projektů." "The main advantage of the new Codex version is its ability to work with complex project structures." "OpenAI se zaměřilo na snížení latence a zvýšení přesnosti při práci s rozsáhlými repozitáři." "OpenAI has focused on reducing latency and increasing accuracy when working with large repositories." "Tento krok je jasným signálem, že OpenAI nechce být jen 'chatbotem v prohlížeči', ale chce být neviditelným, ale všudypřítomným motorem v každém terminálu." "This move is a clear signal that OpenAI does not want to be just a 'chatbot in a browser', but wants to be an invisible yet omnipresent engine in every terminal." "Pro běžného programátora to znamená, že nástroje budou stále více 'vědět', co se děje v celém projektu." "For the average programmer, this means that tools will increasingly 'know' what is happening in the entire project." "Místo abyste kopírovali kód z jednoho souboru do druhého, Codex dokáže pochopit závislosti mezi desítkami modulů a provést změnu, která nezpůsobí regresivní chyby v jiných částech aplikace." "Instead of copying code from one file to another, Codex can understand dependencies between dozens of modules and perform a change that will not cause regression errors in other parts of the application." "Anthropic však nehodlá ustoupit." "Anthropic, however, has no intention of backing down." "Jejich nejnovější model, Claude Opus 4.6, přinesl vlastnosti, které v současnosti definují špičku trhu." "Their latest model, Claude Opus 4.6, has introduced features that currently define the top of the market." "Klíčovým parametrem je kontextové okno o velikosti 1 milionu tokenů v beta verzi." "A key parameter is a context window of 1 million tokens in the beta version." "Pro představu: to umožňuje modelu 'přečíst' a udržet si v paměti celé tisícistránkové dokumentace nebo celé rozsáhlé codebase jedním tahem." "To put it in perspective: this allows the model to 'read' and keep in memory entire thousand-page documentations or an entire large codebase in one go." "Kromě toho Anthropic představilo koncept 'agentních týmů' v rámci Claude Code." "In addition, Anthropic has introduced the concept of 'agentic teams' within Claude Code." "To znamená, že model dokáže simulovat spolupráci několika specializovaných agentů, kteří pracují paralelně na různých úlohách – jeden může psát testy, druhý optimalizovat výkon a třetí provádět refaktorování kódu." "This means the model can simulate the collaboration of several specialized agents working in parallel on different tasks – one can write tests, another optimize performance, and a third perform code refactoring." "Pro české vývojářské týmy a technologické firmy v EU má tento souboj dva hlavní aspekty: dostupnost a regulaci." "For Czech development teams and technology companies in the EU, this battle has two main aspects: availability and regulation." "Oba modely jsou dostupné pro uživatele v České republice." "Both models are available to users in the Czech Republic." "Ačkoliv samotný programovací kód je primárně v angličtině, oba modely vykazují vynikající schopnost rozumět technické dokumentaci a instrukcím v češtině." "Although the programming code itself is primarily in English, both models show an excellent ability to understand technical documentation and instructions in Czech." "To umožňuje českým vývojářům komunikovat s AI v rodném jazyce, což výrazně zrychluje proces tvorby dokumentace a vysvětlování logiky kódu." "This allows Czech developers to communicate with AI in their native language, which significantly speeds up the process of creating documentation and explaining code logic." "Pro české firmy je kritické, jak tyto modely nakládají s daty." "For Czech companies, it is critical how these models handle data." "Anthropic se profiluje jako 'bezpečnostně orientovaná' společnost, což je v kontextu evropského AI Actu a ochrany osobních údajů (GDPR) velká výhoda." "Anthropic profiles itself as a 'security-oriented' company, which is a major advantage in the context of the European AI Act and personal data protection (GDPR)." "Při implementaci těchto nástrojů do firemního prostředí musí český management dbát na to, zda jsou data používána k trénování veřejných modelů, nebo zda běží v izolovaném, soukromém prostředí (Enterprise tier)." "When implementing these tools into a corporate environment, Czech management must ensure whether data is used to train public models or whether it runs in an isolated, private environment (Enterprise tier)." "Předplatné a náklady se liší podle typu využití:" "Subscriptions and costs vary depending on the type of use:" "Anthropic Claude Opus 4.6: Cena se drží na úrovni 5 USD za 1 milion vstupních tokenů a 25 USD za 1 milion výstupních tokenů. Pro jednotlivce je dostupná verze přes Claude.ai (v rámci placeného předplatného od cca 20 USD/měsíc)." "Anthropic Claude Opus 4.6: The price stays at the level of $5 per 1 million input tokens and $25 per 1 million output tokens. For individuals, a version is available via Claude.ai (as part of a paid subscription from approx. $20/month)." "OpenAI Codex / GPT-5.3: Ceny se liší podle API volání, ale OpenAI standardně nabízí různé úrovně od Free tieru (omezené možnosti) po Enterprise řešení pro firmy." "OpenAI Codex / GPT-5.3: Prices vary depending on API calls, but OpenAI standardly offers various levels from the Free tier (limited options) to Enterprise solutions for companies." "Oba nástroje lze vyzkoušet přes jejich webové rozhraní nebo integrací do populárních editorů jako VS Code. Pro české uživatele je nejjednodušší cesta přes oficiální webové stránky poskytovatelů, které fungují bez problémů i s českou platební kartou." "Both tools can be tried via their web interface or by integration into popular editors like VS Code. For Czech users, the easiest path is through the official websites of the providers, which work without problems even with a Czech payment card." Everything is ready.

The war for control of developer terminals is escalating. OpenAI has responded to Anthropic's success with a new update to the Codex model, which aims to compete directly with the Claude Code tool. While Anthropic bets on the Opus 4.6 model with a massive context window and autonomous agent teams, OpenAI is striving for integration and speed that will change the way people write software.

A New Era of AI Agents: The End of Mere Code Completion?

If you thought that artificial intelligence in programming ends with simple line completion in an editor, you are mistaken. In 2026, we are witnessing the transition from "AI assistants" to "AI agents". The difference is fundamental: while an assistant waits for your command and suggests a piece of code, an agent has the ability to plan, perform edits across entire files, run tests, and fix errors in real-time without constant human supervision.

The battle between OpenAI and Anthropic has now moved into the very core of the developer workflow. The goal is not just to generate text, but to control the development environment (IDE) and terminals.

OpenAI Codex: A Direct Strike Against Claude Code

According to information from WIRED, OpenAI is trying to aggressively catch up to Anthropic, which has managed to win the hearts of many developers thanks to the Claude Code tool. The new GPT-5.3-Codex update is designed to be deeply integrated into operating systems (especially macOS) and developer tools.

The main advantage of the new Codex version is its ability to work with complex project structures. OpenAI has focused on reducing latency and increasing accuracy when working with large repositories. This move is a clear signal that OpenAI does not want to be just a "chatbot in a browser", but wants to be an invisible yet omnipresent engine in every terminal.

What does this mean for developers?

For the average programmer, this means that tools will increasingly "know" what is happening in the entire project. Instead of copying code from one file to another, Codex can understand dependencies between dozens of modules and perform a change that will not cause regression errors in other parts of the application.

Anthropic Claude Opus 4.6: King of Context and Agentic Teams

Anthropic, however, has no intention of backing down. Their latest model, Claude Opus 4.6, has introduced features that currently define the top of the market. A key parameter is a context window of 1 million tokens in the beta version. To put it in perspective: this allows the model to "read" and keep in memory entire thousand-page documentations or an entire large codebase in one go.

In addition, Anthropic has introduced the