Compare / Qwen3-235B-A22B-Thinking-2507 vs Qwen3-VL-235B-A22B-Instruct
Qwen3-235B-A22B-Thinking-2507 vs Qwen3-VL-235B-A22B-Instruct
Which is cheaper, which is more capable, and which does better at each kind of work, from 16 results on 3 sources that measured both models.
Of the 16 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 13 October 2026 (catalogue release 2026-10-13-2e2420e3c5cc).
Qwen3-235B-A22B-Thinking-2507 or Qwen3-VL-235B-A22B-Instruct? The short answer
Pick Qwen3-235B-A22B-Thinking-2507 if quality matters most: it scores higher (Intelligence Index 12.7 against 9.9). Pick Qwen3-VL-235B-A22B-Instruct if cost matters more: it costs 38% less per token.
- Qwen3-VL-235B-A22B-Instruct is cheaper: $0.60 against $0.97 per million tokens, 38% less.
- Qwen3-235B-A22B-Thinking-2507 scores higher on the Artificial Analysis Intelligence Index: 12.7 against 9.9.
- Qwen3-VL-235B-A22B-Instruct is newer: released 23 Sep 2025, against 25 Jul 2025 for Qwen3-235B-A22B-Thinking-2507.
- On third-party benchmarks, on the results both models have: Qwen3-235B-A22B-Thinking-2507 does better for reasoning and knowledge; Qwen3-VL-235B-A22B-Instruct for writing.
Head to head
Every fact side by side
| Qwen3-235B-A22B-Thinking-2507 | Qwen3-VL-235B-A22B-Instruct | |
|---|---|---|
| Price per million tokens | $0.30 in · $3.00 out | $0.30 in · $1.50 out |
| Blended (3 in : 1 out) | $0.97 | $0.60 |
| Cheapest host, blended | $0.75 (Alibaba) | $0.37 (DeepInfra, FP8) |
| Intelligence Index | 12.7 | 9.9 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 262,144 tokens |
| Released | 25 Jul 2025 | 23 Sep 2025 (newer) |
| Weights | Open | Open |
| Developer based in | China | China |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Qwen3-235B-A22B-Thinking-2507 | Qwen3-VL-235B-A22B-Instruct |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 139 · 122 of 387 measured | 1,400 | 1,413 |
| Business, management and finance · TextArena rating, higher is better 133 · 88 of 380 measured | 1,404 | 1,440 |
| Creative writing · TextArena rating, higher is better 133 · 146 of 385 measured | 1,371 | 1,358 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 147 · 172 of 243 measured | 12.7 | 9.9 |
| GPQA Diamond% of questions, higher is better 114 · 152 of 231 measured | 79.0% | 71.2% |
| Humanity's Last Exam% of questions, higher is better 122 · 176 of 242 measured | 15.9% | 6.6% |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 139 · 96 of 230 measured | 32.4 | 43.0 |
| Requested-length error · UGI% off the requested word count, lower is better 166 · 99 of 230 measured | 30.0% | 19.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 194 · 86 of 230 measured | 0.31 | 0.36 |
Show all 16 results (7 more)
| Measure | Qwen3-235B-A22B-Thinking-2507 | Qwen3-VL-235B-A22B-Instruct |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 85 · 113 of 338 measured | 1,466 | 1,440 |
| Instruction following · TextArena rating, higher is better 142 · 111 of 387 measured | 1,385 | 1,409 |
| Writing, literature and language · TextArena rating, higher is better 139 · 124 of 386 measured | 1,377 | 1,387 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 101 · 125 of 195 measured | 51.2% | 42.7% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 99 · 179 of 233 measured | 72.0% | 32.7% |
| Terminal-Bench Hard% of tasks, higher is better 116 · 140 of 190 measured | 13.6% | 6.8% |
| τ²-bench telecom% of tasks, higher is better 101 · 122 of 193 measured | 53.2% | 35.1% |
Quick answers
Is Qwen3-235B-A22B-Thinking-2507 better than Qwen3-VL-235B-A22B-Instruct?
Pick Qwen3-235B-A22B-Thinking-2507 if quality matters most: it scores higher (Intelligence Index 12.7 against 9.9). Pick Qwen3-VL-235B-A22B-Instruct if cost matters more: it costs 38% less per token.
Which is cheaper, Qwen3-235B-A22B-Thinking-2507 or Qwen3-VL-235B-A22B-Instruct?
Qwen3-VL-235B-A22B-Instruct is cheaper: $0.60 against $0.97 per million tokens, 38% less.
Which is better for reasoning and knowledge, Qwen3-235B-A22B-Thinking-2507 or Qwen3-VL-235B-A22B-Instruct?
Qwen3-235B-A22B-Thinking-2507 ranks 117 of 198 models on sale for hard questions across science, maths and general knowledge, against 146 for Qwen3-VL-235B-A22B-Instruct.
Which is better for writing, Qwen3-235B-A22B-Thinking-2507 or Qwen3-VL-235B-A22B-Instruct?
Qwen3-VL-235B-A22B-Instruct ranks 93 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 122 for Qwen3-235B-A22B-Thinking-2507.
Which is better for sticking to the facts, Qwen3-235B-A22B-Thinking-2507 or Qwen3-VL-235B-A22B-Instruct?
Qwen3-235B-A22B-Thinking-2507 ranks 92 of 152 models on sale for summarising without inventing things, and factual answers, against 124 for Qwen3-VL-235B-A22B-Instruct.
Which has the bigger context window, Qwen3-235B-A22B-Thinking-2507 or Qwen3-VL-235B-A22B-Instruct?
Qwen3-VL-235B-A22B-Instruct: 262,144 tokens, against 131,072 for Qwen3-235B-A22B-Thinking-2507.
Run Qwen3-235B-A22B-Thinking-2507 and Qwen3-VL-235B-A22B-Instruct on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.