GPT-5.1 Codex Max vs Claude Opus 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT-5.1 Codex Max da OpenAI e Claude Opus 5.5 da Anthropic são dois modelos de IA de destaque. O GPT-5.1 Codex Max oferece uma janela de contexto de 400K tokens a $1.75/$14.00 por milhão de tokens, enquanto o Claude Opus 5.5 oferece 1M tokens de contexto a $4.00/$20.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.
Troque e Compare Qualquer Modelo
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
GPT-5.1 Codex Max
Modelo Principal de FronteiraO GPT-5.1 Codex Max da OpenAI é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 400K, velocidade de 95 tokens/s, índice de inteligência de 62/10
$1.75 / 1M
$14.00 / 1M
400K tokens
78.2%
Claude Opus 5.5
Modelo Principal de FronteiraO Claude Opus 5.5 da Anthropic é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 1M, velocidade de 78 tokens/s, índice de inteligência de 94/100
$4.00 / 1M
$20.00 / 1M
1M tokens
84.6%
Principais Diferenças em Resumo
- GPT-5.1 Codex Max is 1.6x cheaper for API usage (input + output tokens combined).
- Claude Opus 5.5 has a larger context window (1M vs 400K tokens).
- GPT-5.1 Codex Max is faster at 95 tok/s vs 78 tok/s.
- Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 78.2%).
| Feature | GPT-5.1 Codex Max | Claude Opus 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 62 | 94 |
Provider | OpenAI | Anthropic |
Input Price Cost per million input tokens | $1.75 / 1M | $4.00 / 1M |
Output Price Cost per million output tokens | $14.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.87 / 1M | $3.08 / 1M |
Context Window Maximum input + output tokens | 400K tokens~600 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 128K | 128K |
Throughput Speed Tokens generated per second | 95 tok/s | 78 tok/s |
SWE-bench Verified Real-world software engineering | 78.2% | 84.6% |
GPQA Diamond Graduate-level reasoning | 80% | 82.3% |
Cached Input Price Prompt caching discount per 1M tokens | $0.17 / 1M | $0.40 / 1M |
Quem vence em cada categoria?
At-a-glance decision frameworkPontuações de Benchmarks Verificadas
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latência e Tempo de Resposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interativo de Custo de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
GPT-5.1 Codex Max · Strengths & Key Advantages
- Janela de contexto de 400K com limite máximo de saída de 128K tokens (SWE-bench Verified 78.2% · GPQA Diamond 80%)
- Taxa de transferência rápida de 95 tokens/segundo com latência inicial (TTFT) de 1700 ms
- Economia de API competitiva ($1.75/$14 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade
Claude Opus 5.5 · Strengths & Key Advantages
- Janela de contexto de 1M com limite máximo de saída de 128K tokens (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
- Taxa de transferência rápida de 78 tokens/segundo com latência inicial (TTFT) de 1400 ms
- Economia de API competitiva ($4/$20 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | GPT-5.1 Codex Max | Claude Opus 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $2.40 | $3.85 |
Output Tokens / Task Tokens generated per task | 62K | 68K |
Reasoning Tokens / Task Thinking tokens burned per task | 36K | 42K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-5.1 Codex Max | Claude Opus 5.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-5-1-codex-max | claude-opus-5-5-20260901 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2025-11 | 2026-09 |
| Knowledge Cutoff | October 2024 | June 2026 |
| Architecture | Maximum-capability code-specialised reasoning model | Extended Autonomous Hybrid Reasoning Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($1.75/1M in) across full 400K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.175/1M (no extra cache-write fee) | $0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | OpenAI Preparedness Framework Audited & System Card Published | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision |
| Output Modalities | text | text |
GPT-5.1 Codex Max vs Claude Opus 5.5: Respostas Rápidas (FAQ)
Which is more intelligent, GPT-5.1 Codex Max or Claude Opus 5.5?
Claude Opus 5.5 is more intelligent. It scores 94 compared with 62 on the composite Intelligence Index.
Which model is faster?
GPT-5.1 Codex Max is faster, generating 95 tokens per second compared with 78 tokens per second.
Which model is cheaper to run?
GPT-5.1 Codex Max is cheaper at $1.87 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Claude Opus 5.5 has lower latency, with a time to first token of 1.40s compared with 1.70s.
Which model has a larger context window?
Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 400K tokens.
Veredito
Tanto GPT-5.1 Codex Max (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Claude Opus 5.5 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Claude Opus 5.5 lidera em inteligência geral e programação, GPT-5.1 Codex Max oferece geração mais rápida e GPT-5.1 Codex Max apresenta o melhor custo-benefício em produção.
Perguntas Frequentes (FAQ)
Qual é melhor para programação e raciocínio, GPT-5.1 Codex Max ou Claude Opus 5.5?+
Nas avaliações de inteligência e código, Claude Opus 5.5 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.
Qual modelo tem a API mais barata, GPT-5.1 Codex Max ou Claude Opus 5.5?+
O GPT-5.1 Codex Max custa $1.75 / $14.00 por 1M de tokens (entrada/saída) e o Claude Opus 5.5 custa $4.00 / $20.00. No custo combinado, GPT-5.1 Codex Max é mais econômico.
Qual modelo possui maior janela de contexto e velocidade?+
O GPT-5.1 Codex Max suporta 400K tokens de contexto contra 1M tokens do Claude Opus 5.5, enquanto GPT-5.1 Codex Max entrega maior velocidade de geração.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Claude Mythos 5.1 vs. Claude Opus 5.5: Comparação de Benchmarks, Preços API e Velocidade (2026)Comparar
- Claude Opus 5.5 vs. Gemini 4 Argon: Comparação de Benchmarks, Preços API e Velocidade (2026)Comparar
- Claude Opus 5 vs. Claude Opus 5.5: Comparação de Benchmarks, Preços API e Velocidade (2026)Comparar
- Command A Plus vs. Claude Opus 5.5: Comparação de Benchmarks, Preços API e Velocidade (2026)Comparar
- DeepSeek V4 Pro vs. Claude Opus 5.5: Comparação de Benchmarks, Preços API e Velocidade (2026)Comparar
- GPT-5.1 Codex Max vs. Claude Sonnet 5.5: Comparação de Benchmarks, Preços API e Velocidade (2026)Comparar
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Fontes oficiais: Documentação oficial de API da OpenAI e Anthropic e benchmarks independentes (2026).