Compare / Qwen3.5-397B-A17B vs DeepSeek-V3.1
Qwen3.5-397B-A17B vs DeepSeek-V3.1
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 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs DeepSeek, every model from both labs.
Qwen3.5-397B-A17B or DeepSeek-V3.1? The short answer
Pick Qwen3.5-397B-A17B if quality matters most: it scores higher (Intelligence Index 21.4 against 13.7). Pick DeepSeek-V3.1 if cost matters more: it costs 36% less per token.
- DeepSeek-V3.1 is cheaper: $0.82 against $1.29 per million tokens, 36% less.
- Qwen3.5-397B-A17B scores higher on the Artificial Analysis Intelligence Index: 21.4 against 13.7.
- Qwen3.5-397B-A17B is newer: released 13 Feb 2026, against 21 Aug 2025 for DeepSeek-V3.1.
- On third-party benchmarks, on the results both models have: Qwen3.5-397B-A17B does better for reasoning and knowledge.
Head to head
Every fact side by side
| Qwen3.5-397B-A17B | DeepSeek-V3.1 | |
|---|---|---|
| Price per million tokens | $0.55 in · $3.50 out | $0.55 in · $1.65 out |
| Blended (3 in : 1 out) | $1.29 | $0.82 |
| Cheapest host, blended | $0.88 (Alibaba) | $0.42 (DeepInfra, FP4) |
| Intelligence Index | 21.4 | 13.7 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 90 | – |
| Context window | 262,144 tokens | 163,840 tokens |
| Released | 13 Feb 2026 (newer) | 21 Aug 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 | DeepSeek-V3.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 80 · 116 of 387 measured | 1,442 | 1,417 |
| Business, management and finance · TextArena rating, higher is better 73 · 112 of 380 measured | 1,446 | 1,417thinking reasoning |
| Creative writing · TextArena rating, higher is better 86 · 91 of 385 measured | 1,405 | 1,402thinking reasoning |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 97 · 137 of 243 measured | 21.4no reasoning | 13.7no reasoning |
| GPQA Diamond% of questions, higher is better 53 · 121 of 231 measured | 89.3% | 77.9%thinking reasoning |
| Humanity's Last Exam% of questions, higher is better 77 · 130 of 242 measured | 29.0% | 14.3%thinking reasoning |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 77 · 73 of 230 measured | 50.1no reasoning | 51.9thinking reasoning |
| Requested-length error · UGI% off the requested word count, lower is better 134 · 166 of 230 measured | 23.0%no reasoning | 30.0%no reasoning |
| Style adherence · UGIscore from 0 to 1, higher is better 164 · 66 of 230 measured | 0.33no reasoning | 0.36thinking reasoning |
Show all 16 results (7 more)
| Measure | Qwen3.5-397B-A17B | DeepSeek-V3.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 67 · 122 of 338 measured | 1,477 | 1,432thinking reasoning |
| Instruction following · TextArena rating, higher is better 78 · 97 of 387 measured | 1,434 | 1,416thinking reasoning |
| Writing, literature and language · TextArena rating, higher is better 80 · 94 of 386 measured | 1,421 | 1,407thinking reasoning |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 8 · 127 of 195 measured | 78.8% | 41.5%thinking reasoning |
| Long-context reasoning (AA-LCR)% of questions, higher is better 66 · 141 of 233 measured | 77.3% | 56.7%thinking reasoning |
| Terminal-Bench Hard% of tasks, higher is better 34 · 78 of 190 measured | 40.9% | 25.0%thinking reasoning |
| τ²-bench telecom% of tasks, higher is better 16 · 117 of 193 measured | 95.6% | 37.4%thinking reasoning |
Compare them with other models
Quick answers
Is Qwen3.5-397B-A17B better than DeepSeek-V3.1?
Pick Qwen3.5-397B-A17B if quality matters most: it scores higher (Intelligence Index 21.4 against 13.7). Pick DeepSeek-V3.1 if cost matters more: it costs 36% less per token.
Which is cheaper, Qwen3.5-397B-A17B or DeepSeek-V3.1?
DeepSeek-V3.1 is cheaper: $0.82 against $1.29 per million tokens, 36% less.
Which is better for reasoning and knowledge, Qwen3.5-397B-A17B or DeepSeek-V3.1?
Qwen3.5-397B-A17B ranks 73 of 198 models on sale for hard questions across science, maths and general knowledge, against 118 for DeepSeek-V3.1.
Which is better for writing, Qwen3.5-397B-A17B or DeepSeek-V3.1?
Qwen3.5-397B-A17B ranks 69 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 84 for DeepSeek-V3.1.
Which is better for sticking to the facts, Qwen3.5-397B-A17B or DeepSeek-V3.1?
DeepSeek-V3.1 ranks 20 of 152 models on sale for summarising without inventing things, and factual answers, against 75 for Qwen3.5-397B-A17B.
Which has the bigger context window, Qwen3.5-397B-A17B or DeepSeek-V3.1?
Qwen3.5-397B-A17B: 262,144 tokens, against 163,840 for DeepSeek-V3.1.
Run Qwen3.5-397B-A17B and DeepSeek-V3.1 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.