GPT-6 Luna vs Qwen3.5-9B
Price, context window & benchmark comparison
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Compare different models
Verdict: Qwen3.5-9B is 44% cheaper than GPT-6 Luna on a typical 3:1 input/output mix. GPT-6 Luna has the larger context window (1.1M vs 262K).
| GPT-6 Luna | Qwen3.5-9B | |
|---|---|---|
| Input price / 1M | $0.10 | $0.10 |
| Output price / 1M | $0.50 | $0.15 |
| Blended price (3:1) | $0.20 | $0.11 |
| Cached input / 1M | $0.01 | — |
| Context window | 1.1M | 262K |
| Max output | 128K | 33K |
| Intelligence index | 37.3 | — |
| Coding index | — | 28.7 |
| Providers | 7 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-22 | 2026-03-10 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-6 Luna or Qwen3.5-9B?
Qwen3.5-9B is 44% cheaper than GPT-6 Luna on a typical 3:1 input/output mix.
GPT-6 Luna vs Qwen3.5-9B: which has a bigger context window?
GPT-6 Luna: 1,050,000 tokens. Qwen3.5-9B: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-6 Luna ≈ $450.00, Qwen3.5-9B ≈ $275.00.
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