Compare Claude Opus 4.7 Thinking from Anthropic and GPT 5.6 Luna 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 4.7 Thinking
GPT 5.6 LunaThe claude-opus-4-7-think model has adaptive thinking mode pre-enabled; the default thinking intensity is "medium", and it can be invoked directly via the OpenAI unified API. The claude-opus-4-7 model does not display thinking content by default; you need to set the extra parameter "display": "summarized" to enable it.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
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 5.6 Luna: $1.2/M output tokens; Claude Opus 4.7 Thinking: $25/M. Use the cost calculator above to estimate your own workload.
Claude Opus 4.7 Thinking: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Opus 4.7 Thinking accepts 1,000,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.7 Thinking and 128,000 tokens on GPT 5.6 Luna.
Claude Opus 4.7 Thinking at 89.7 tok/s and GPT 5.6 Luna at 47.3 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Opus 4.7 Thinking accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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