Qwen3 VL 235B A22B Thinking vs Qwen3.8 Omni Flash
Price, context window & benchmark comparison
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Verdict: Qwen3.8 Omni Flash is 5.7× cheaper than Qwen3 VL 235B A22B Thinking on a typical 3:1 input/output mix. Qwen3.8 Omni Flash has the larger context window (1M vs 131K).
| Qwen3 VL 235B A22B Thinking | Qwen3.8 Omni Flash | |
|---|---|---|
| Input price / 1M | $0.40 | $0.15 |
| Output price / 1M | $4.00 | $0.47 |
| Blended price (3:1) | $1.30 | $0.23 |
| Cached input / 1M | — | $0.016 |
| Context window | 131K | 1M |
| Max output | 33K | 131K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2025-09-23 | 2026-09-21 |
| Retirement | — | — |
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FAQ
Which is cheaper, Qwen3 VL 235B A22B Thinking or Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash is 5.7× cheaper than Qwen3 VL 235B A22B Thinking on a typical 3:1 input/output mix.
Qwen3 VL 235B A22B Thinking vs Qwen3.8 Omni Flash: which has a bigger context window?
Qwen3 VL 235B A22B Thinking: 131,072 tokens. Qwen3.8 Omni Flash: 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Qwen3 VL 235B A22B Thinking ≈ $2,800, Qwen3.8 Omni Flash ≈ $535.00.
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