Compare / Qwen3.5-397B-A17B vs Qwen3-VL-235B-A22B-Instruct
Qwen3.5-397B-A17B vs Qwen3-VL-235B-A22B-Instruct
Which is cheaper, which is more capable, and which does better at each kind of work, from 17 results on 3 sources that measured both models.
Of the 17 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 14 October 2026 (catalogue release 2026-10-14-7d7cf32c3f6d).
Qwen3.5-397B-A17B or Qwen3-VL-235B-A22B-Instruct? The short answer
Pick Qwen3.5-397B-A17B if quality matters most: it scores higher (Intelligence Index 21.4 against 9.9). Pick Qwen3-VL-235B-A22B-Instruct if cost matters more: it costs 2.1 times less per token.
- Qwen3-VL-235B-A22B-Instruct is cheaper: $0.60 against $1.29 per million tokens, 2.1 times less.
- Qwen3.5-397B-A17B scores higher on the Artificial Analysis Intelligence Index: 21.4 against 9.9.
- Qwen3.5-397B-A17B is newer: released 13 Feb 2026, against 23 Sep 2025 for Qwen3-VL-235B-A22B-Instruct.
- On third-party benchmarks, on the results both models have: Qwen3.5-397B-A17B does better for reasoning and knowledge, writing and sticking to the facts.
Head to head
Every fact side by side
| Qwen3.5-397B-A17B | Qwen3-VL-235B-A22B-Instruct | |
|---|---|---|
| Price per million tokens | $0.55 in · $3.50 out | $0.30 in · $1.50 out |
| Blended (3 in : 1 out) | $1.29 | $0.60 |
| Cheapest host, blended | $0.88 (Alibaba) | $0.37 (DeepInfra, FP8) |
| Intelligence Index | 21.4 | 9.9 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 57 | – |
| Context window | 262,144 tokens | 262,144 tokens |
| Released | 13 Feb 2026 (newer) | 23 Sep 2025 |
| 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 | Qwen3.5-397B-A17B | Qwen3-VL-235B-A22B-Instruct |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 80 · 122 of 387 measured | 1,442 | 1,413 |
| Overall · Text factualityArena rating, higher is better 70 · 122 of 163 measured | 1,445 | 1,415 |
| Business, management and finance · TextArena rating, higher is better 73 · 88 of 380 measured | 1,446 | 1,440 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 98 · 173 of 244 measured | 21.4no reasoning | 9.9 |
| GPQA Diamond% of questions, higher is better 53 · 152 of 231 measured | 89.3% | 71.2% |
| Humanity's Last Exam% of questions, higher is better 78 · 177 of 243 measured | 29.0% | 6.6% |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 77 · 96 of 230 measured | 50.1no reasoning | 43.0 |
| Requested-length error · UGI% off the requested word count, lower is better 134 · 99 of 230 measured | 23.0%no reasoning | 19.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 164 · 86 of 230 measured | 0.33no reasoning | 0.36 |
Show all 17 results (8 more)
| Measure | Qwen3.5-397B-A17B | Qwen3-VL-235B-A22B-Instruct |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 4 results | ||
| Creative writing · TextArena rating, higher is better 86 · 146 of 385 measured | 1,405 | 1,358 |
| Expert prompts · TextArena rating, higher is better 67 · 113 of 338 measured | 1,477 | 1,440 |
| Instruction following · TextArena rating, higher is better 78 · 111 of 387 measured | 1,434 | 1,409 |
| Writing, literature and language · TextArena rating, higher is better 80 · 124 of 386 measured | 1,421 | 1,387 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 8 · 125 of 195 measured | 78.8% | 42.7% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 67 · 180 of 234 measured | 77.3% | 32.7% |
| Terminal-Bench Hard% of tasks, higher is better 34 · 140 of 190 measured | 40.9% | 6.8% |
| τ²-bench telecom% of tasks, higher is better 16 · 122 of 193 measured | 95.6% | 35.1% |
Quick answers
Is Qwen3.5-397B-A17B better than Qwen3-VL-235B-A22B-Instruct?
Pick Qwen3.5-397B-A17B if quality matters most: it scores higher (Intelligence Index 21.4 against 9.9). Pick Qwen3-VL-235B-A22B-Instruct if cost matters more: it costs 2.1 times less per token.
Which is cheaper, Qwen3.5-397B-A17B or Qwen3-VL-235B-A22B-Instruct?
Qwen3-VL-235B-A22B-Instruct is cheaper: $0.60 against $1.29 per million tokens, 2.1 times less.
Which is better for reasoning and knowledge, Qwen3.5-397B-A17B or Qwen3-VL-235B-A22B-Instruct?
Qwen3.5-397B-A17B ranks 75 of 200 models on sale for hard questions across science, maths and general knowledge, against 148 for Qwen3-VL-235B-A22B-Instruct.
Which is better for writing, Qwen3.5-397B-A17B or Qwen3-VL-235B-A22B-Instruct?
Qwen3.5-397B-A17B ranks 70 of 189 models on sale for what people prefer in blind comparisons, and judged writing quality, against 94 for Qwen3-VL-235B-A22B-Instruct.
Which is better for sticking to the facts, Qwen3.5-397B-A17B or Qwen3-VL-235B-A22B-Instruct?
Qwen3.5-397B-A17B ranks 76 of 153 models on sale for summarising without inventing things, and factual answers, against 127 for Qwen3-VL-235B-A22B-Instruct.
Run Qwen3.5-397B-A17B 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.