Compare Claude Opus 4.8 from Anthropic and GPT-5.1-Codex Max from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Claude Opus 4.8
GPT-5.1-Codex MaxClaude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it
GPT-5.1-Codex-Max is a frontier programming model built for the agent-driven era. Powered by an upgraded core reasoning architecture, it is specially trained for complex agentic tasks in software engineering, mathematics, and scientific research. It delivers faster performance, greater stability, and higher token efficiency across the entire development lifecycle, including code generation, refactoring, debugging, and engineering collaboration. With native support for multiple context windows and a built-in compaction mechanism, the model can coherently process millions of tokens within a single task.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
GPT-5.1-Codex Max: $10/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
Claude Opus 4.8: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Opus 4.8 accepts 1,000,000 and GPT-5.1-Codex Max accepts 400,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 128,000 tokens on GPT-5.1-Codex Max.
Claude Opus 4.8 at 82.6 tok/s and GPT-5.1-Codex Max at 66.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; GPT-5.1-Codex Max accepts text and image input and supports function calling, structured outputs and thinking.
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