Qwen3 235B A22B Thinking 2507
Qwen released 2025-07-25
DeepSeek V4 Flash 0731 is both better and cheaper.
It scores +31.9 higher and costs 86% less ($0.105/M against $0.748/M) on this workload — and it does everything this model does.
MiniMax M2.7 is cheaper still (44% less) but drops 262K → 205K context.
Every price dimension
| Input | $0.230/M |
|---|---|
| Output | $2.30/M |
Independent scores
| Intelligence | 19.9 |
|---|---|
| Coding | 22.1 |
| Agentic | 3.8 |
| LMArena Elo | 1413.8default |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 262K |
|---|---|
| Input modes | text |
| Tool use | yes |
| Reasoning | always on |
| Knowledge cutoff | 2025-06-30 |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...