Models

Claude Opus 4.6 Thinking vs GPT 5.6 Luna

Compare Claude Opus 4.6 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.

AnthropicClaude Opus 4.6 ThinkingOpenAIGPT 5.6 Luna
Anthropic logo
Claude Opus 4.6 Thinking
Anthropic · text, image, pdf → text

Claude Opus 4.6 does not enable reasoning mode by default. To access its deep reasoning capabilities, users would typically need to call the native Claude API. To make this capability available through an OpenAI-compatible interface, we provide the claude-opus-4-6-think model, which has reasoning mode pre-enabled and a default 32k-token context window, allowing it to be called directly via the OpenAI unified API. Claude Opus 4.5 Think is a reasoning-focused variant of Claude Opus 4.6 designed for advanced tasks that require rigorous reasoning, complex decision-making, and long-chain analysis. Aside from its enhanced reasoning mechanism, all other capabilities remain consistent with the standard Claude Opus 4.6 model, making it well suited for complex engineering problem decomposition, multi-stage planning, and logic-intensive analysis.

Input$5 /M
Output$25 /M
Cache read$0.5 /M
OpenAI logo
GPT 5.6 Luna
OpenAI · text, image → text

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.

Input$0.2 /M
Output$1.2 /M
Cache read$0.02 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Claude Opus 4.6 Thinking
GPT 5.6 Luna
Input /M
$5
$0.2
Output /M
$25
$1.2
Cache read /M
$0.5
$0.02
Context length
1,000,000
1,050,000
Max output
128,000
128,000
Time to First Token
1.7 s
5.0 s
Throughput
52.5 tok/s
47.6 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsthinkingstructured outputs
API Formats
chat_completions · responses
Released
February 5, 2026
July 9, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

claude-opus-4-6-thinkgpt-5.6-luna

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

claude-opus-4-6-thinkgpt-5.6-luna

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

GPT 5.6 Luna
$30.00 /mo
Claude Opus 4.6 Thinking
$675 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Claude Opus 4.6 Thinking, GPT 5.6 Luna?

GPT 5.6 Luna: $1.2/M output tokens; Claude Opus 4.6 Thinking: $25/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Claude Opus 4.6 Thinking: 1.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Claude Opus 4.6 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 4.6 Thinking and 128,000 tokens on GPT 5.6 Luna.

Which one generates tokens faster?

Claude Opus 4.6 Thinking at 52.5 tok/s and GPT 5.6 Luna at 47.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Claude Opus 4.6 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.

Can I call Claude Opus 4.6 Thinking and GPT 5.6 Luna with the same API key?

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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