Compare / Qwen3-32B vs DeepSeek-V3.1
Qwen3-32B vs DeepSeek-V3.1
Which is cheaper, which is more capable, and which does better at each kind of work, from 18 results on 4 sources that measured both models.
Of the 18 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.
Qwen3-32B or DeepSeek-V3.1? The short answer
Pick DeepSeek-V3.1 if quality matters most: it scores higher (Intelligence Index 13.7 against 8.6). Pick Qwen3-32B if cost matters more: it costs 4.0 times less per token.
- Qwen3-32B is cheaper: $0.21 against $0.82 per million tokens, 4.0 times less.
- DeepSeek-V3.1 scores higher on the Artificial Analysis Intelligence Index: 13.7 against 8.6.
- DeepSeek-V3.1 is newer: released 21 Aug 2025, against 28 Apr 2025 for Qwen3-32B.
- On third-party benchmarks, on the results both models have: DeepSeek-V3.1 does better for reasoning and knowledge, writing and sticking to the facts.
Head to head
Every fact side by side
| Qwen3-32B | DeepSeek-V3.1 | |
|---|---|---|
| Price per million tokens | $0.14 in · $0.40 out | $0.55 in · $1.65 out |
| Blended (3 in : 1 out) | $0.21 | $0.82 |
| Cheapest host, blended | $0.13 (DeepInfra, FP8) | $0.42 (DeepInfra, FP4) |
| Intelligence Index | 8.6 | 13.7 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 163,840 tokens |
| Released | 28 Apr 2025 | 21 Aug 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 | Qwen3-32B | DeepSeek-V3.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 195 · 116 of 387 measured | 1,347 | 1,417 |
| Business, management and finance · TextArena rating, higher is better 203 · 112 of 380 measured | 1,340 | 1,417thinking reasoning |
| Creative writing · TextArena rating, higher is better 205 · 91 of 385 measured | 1,304 | 1,402thinking reasoning |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 188 · 137 of 243 measured | 8.6thinking reasoning | 13.7no reasoning |
| GPQA Diamond% of questions, higher is better 167 · 121 of 231 measured | 66.8%thinking reasoning | 77.9%thinking reasoning |
| Humanity's Last Exam% of questions, higher is better 168 · 130 of 242 measured | 7.4%thinking reasoning | 14.3%thinking reasoning |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 134 · 73 of 230 measured | 33.0no reasoning | 51.9thinking reasoning |
| Requested-length error · UGI% off the requested word count, lower is better 99 · 166 of 230 measured | 19.0%no reasoning | 30.0%no reasoning |
| Style adherence · UGIscore from 0 to 1, higher is better 175 · 66 of 230 measured | 0.32no reasoning | 0.36thinking reasoning |
| Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results | ||
| Hallucination rate · Vectara% of summaries, lower is better 24 · 18 of 104 measured | 5.9% | 5.5% |
| Answer rate · Vectara% of documents, higher is better 17 · 89 of 104 measured | 99.9% | 94.5% |
Show all 18 results (7 more)
| Measure | Qwen3-32B | DeepSeek-V3.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 159 · 122 of 338 measured | 1,398 | 1,432thinking reasoning |
| Instruction following · TextArena rating, higher is better 198 · 97 of 387 measured | 1,331 | 1,416thinking reasoning |
| Writing, literature and language · TextArena rating, higher is better 217 · 94 of 386 measured | 1,308 | 1,407thinking reasoning |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 155 · 127 of 195 measured | 36.3%thinking reasoning | 41.5%thinking reasoning |
| Long-context reasoning (AA-LCR)% of questions, higher is better 222 · 141 of 233 measured | 0.0%no reasoning | 56.7%thinking reasoning |
| Terminal-Bench Hard% of tasks, higher is better 169 · 78 of 190 measured | 3.0%thinking reasoning | 25.0%thinking reasoning |
| τ²-bench telecom% of tasks, higher is better 135 · 117 of 193 measured | 29.8%thinking reasoning | 37.4%thinking reasoning |
Compare them with other models
Quick answers
Is Qwen3-32B better than DeepSeek-V3.1?
Pick DeepSeek-V3.1 if quality matters most: it scores higher (Intelligence Index 13.7 against 8.6). Pick Qwen3-32B if cost matters more: it costs 4.0 times less per token.
Which is cheaper, Qwen3-32B or DeepSeek-V3.1?
Qwen3-32B is cheaper: $0.21 against $0.82 per million tokens, 4.0 times less.
Which is better for reasoning and knowledge, Qwen3-32B or DeepSeek-V3.1?
DeepSeek-V3.1 ranks 118 of 198 models on sale for hard questions across science, maths and general knowledge, against 148 for Qwen3-32B.
Which is better for writing, Qwen3-32B or DeepSeek-V3.1?
DeepSeek-V3.1 ranks 84 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 139 for Qwen3-32B.
Which is better for sticking to the facts, Qwen3-32B or DeepSeek-V3.1?
DeepSeek-V3.1 ranks 20 of 152 models on sale for summarising without inventing things, and factual answers, against 22 for Qwen3-32B.
Which has the bigger context window, Qwen3-32B or DeepSeek-V3.1?
DeepSeek-V3.1: 163,840 tokens, against 131,072 for Qwen3-32B.
Run Qwen3-32B 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.