OpenAI: GPT-4 Turbo
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
The strongest choice for serious software engineering work, provided you can absorb the output-side pricing.
Professional developers and engineering teams working with complex, multi-file codebases who need accurate code generation, debugging, and architectural reasoning.
Avoid if your primary needs are creative writing, image generation, or high-volume automated code tasks where output costs will compound rapidly.
Best-in-class code generation and debugging across major languages, outperforming Claude Sonnet 4.6 on complex multi-file refactoring tasks
400K context window allows ingestion of entire repositories, making whole-codebase understanding and refactoring practical
Strong reasoning over technical specifications, API documentation, and system design problems
Competitive pricing at $1.25/$10 per 1M tokens — cheaper input cost than GPT-4o's successor-tier competitors
Output cost of $10/1M tokens adds up quickly in high-throughput code generation pipelines, making it expensive at scale compared to budget alternatives like GPT-4o-mini
Not optimized for creative writing, marketing copy, or general conversational use where Claude Sonnet 4.6 or Gemini 3.1 Pro perform comparably at lower cost
No native image generation capability despite the Codex-Max branding implying multimedia depth
See what OpenAI: GPT-5.1-Codex-Max actually costs at your usage level
Based on OpenAI: GPT-5.1-Codex-Max API pricing: $1.25/1M input · $10/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
Professional developers and engineering teams working with complex, multi-file codebases who need accurate code generation, debugging, and architectural reasoning.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-5.1-Codex-Max (OpenAI) is now indexed. It supersedes GPT-4o. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing.
View modelOpenAI: GPT-5.1-Codex-Max is best for professional developers and engineering teams working with complex, multi-file codebases who need accurate code generation, debugging, and architectural reasoning.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
Avoid if your primary needs are creative writing, image generation, or high-volume automated code tasks where output costs will compound rapidly.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
OpenAI: GPT-4 Turbo is the better pick when response time matters more than maximum depth or premium quality.
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