GPT-6 Luna Pro vs Qwen3 235B A22B Thinking 2507
Price, context window & benchmark comparison
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Compare different models
Verdict: GPT-6 Luna Pro is 3.7× cheaper than Qwen3 235B A22B Thinking 2507 on a typical 3:1 input/output mix. GPT-6 Luna Pro has the larger context window (1.1M vs 131K).
| GPT-6 Luna Pro | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
| Input price / 1M | $0.10 | $0.23 |
| Output price / 1M | $0.50 | $2.30 |
| Blended price (3:1) | $0.20 | $0.75 |
| Cached input / 1M | $0.01 | — |
| Context window | 1.1M | 131K |
| Max output | 128K | 118K |
| Intelligence index | — | 12.7 |
| Coding index | — | 22.1 |
| Providers | 6 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-22 | 2025-07-25 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-6 Luna Pro or Qwen3 235B A22B Thinking 2507?
GPT-6 Luna Pro is 3.7× cheaper than Qwen3 235B A22B Thinking 2507 on a typical 3:1 input/output mix.
GPT-6 Luna Pro vs Qwen3 235B A22B Thinking 2507: which has a bigger context window?
GPT-6 Luna Pro: 1,050,000 tokens. Qwen3 235B A22B Thinking 2507: 131,072 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-6 Luna Pro ≈ $450.00, Qwen3 235B A22B Thinking 2507 ≈ $1,610.
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