Compare / Qwen3-32B vs DeepSeek-V3
Qwen3-32B vs DeepSeek-V3
Which is cheaper, which is more capable, and which does better at each kind of work, from 23 results on 4 sources that measured both models.
Of the 23 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? The short answer
They score about the same, so pick Qwen3-32B: it costs 2.2 times less per token.
- Qwen3-32B is cheaper: $0.21 against $0.45 per million tokens, 2.2 times less.
- They score about the same on the Artificial Analysis Intelligence Index (8.6 and 8.5).
- Qwen3-32B is newer: released 28 Apr 2025, against 26 Dec 2024 for DeepSeek-V3.
- On third-party benchmarks, on the results both models have: Qwen3-32B does better for reasoning and knowledge and sticking to the facts; DeepSeek-V3 for writing.
Head to head
Every fact side by side
| Qwen3-32B | DeepSeek-V3 | |
|---|---|---|
| Price per million tokens | $0.14 in · $0.40 out | $0.26 in · $1.03 out |
| Blended (3 in : 1 out) | $0.21 | $0.45 |
| Cheapest host, blended | $0.13 (DeepInfra, FP8) | $0.45 (StreamLake) |
| Intelligence Index | 8.6 | 8.5 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 163,840 tokens |
| Released | 28 Apr 2025 (newer) | 26 Dec 2024 |
| 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 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 195 · 180 of 387 measured | 1,347 | 1,358 |
| Business, management and finance · TextArena rating, higher is better 203 · 189 of 380 measured | 1,340 | 1,350 |
| Creative writing · TextArena rating, higher is better 205 · 155 of 385 measured | 1,304 | 1,349 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 188 · 191 of 243 measured | 8.6thinking reasoning | 8.5 |
| GPQA Diamond% of questions, higher is better 167 · 192 of 231 measured | 66.8%thinking reasoning | 55.7% |
| Humanity's Last Exam% of questions, higher is better 168 · 237 of 242 measured | 7.4%thinking reasoning | 2.9% |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 134 · 93 of 230 measured | 33.0no reasoning | 43.2 |
| Requested-length error · UGI% off the requested word count, lower is better 99 · 83 of 230 measured | 19.0%no reasoning | 17.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 175 · 42 of 230 measured | 0.32no reasoning | 0.37 |
| Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results | ||
| Hallucination rate · Vectara% of summaries, lower is better 24 · 25 of 104 measured | 5.9% | 6.1% |
| Answer rate · Vectara% of documents, higher is better 17 · 81 of 104 measured | 99.9% | 97.5% |
Show all 23 results (12 more)
| Measure | Qwen3-32B | DeepSeek-V3 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 159 · 197 of 338 measured | 1,398 | 1,348 |
| Instruction following · TextArena rating, higher is better 198 · 184 of 387 measured | 1,331 | 1,343 |
| Writing, literature and language · TextArena rating, higher is better 217 · 162 of 386 measured | 1,308 | 1,356 |
| Artificial Analysis reported by Artificial Analysis · 9 results | ||
| Terminal-Bench 2.1% of tasks, higher is better 111 · 94 of 130 measured | 5.2%thinking reasoning | 16.9% |
| Terminal-Bench 4.0% of tasks, higher is better 66 · 66 of 112 measured | 0.0%thinking reasoning | 0.0% |
| τ-bench banking% of tasks, higher is better 102 · 109 of 121 measured | 5.4%thinking reasoning | 4.7% |
| Artificial Analysis Coding Indexindex score, higher is better 111 · 94 of 131 measured | 15.3thinking reasoning | 23.0 |
| IFBench% of instructions, higher is better 155 · 159 of 195 measured | 36.3%thinking reasoning | 34.8% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 222 · 187 of 233 measured | 0.0%no reasoning | 29.3% |
| SciCode% of problems, higher is better 91 · 92 of 113 measured | 36.0%thinking reasoning | 35.8% |
| Terminal-Bench Hard% of tasks, higher is better 169 · 140 of 190 measured | 3.0%thinking reasoning | 6.8% |
| τ²-bench telecom% of tasks, higher is better 135 · 159 of 193 measured | 29.8%thinking reasoning | 22.8% |
Compare them with other models
Quick answers
Is Qwen3-32B better than DeepSeek-V3?
They score about the same, so pick Qwen3-32B: it costs 2.2 times less per token.
Which is cheaper, Qwen3-32B or DeepSeek-V3?
Qwen3-32B is cheaper: $0.21 against $0.45 per million tokens, 2.2 times less.
Which is better for agents and tool use, Qwen3-32B or DeepSeek-V3?
Qwen3-32B ranks 113 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 139 for DeepSeek-V3.
Which is better for reasoning and knowledge, Qwen3-32B or DeepSeek-V3?
Qwen3-32B ranks 148 of 198 models on sale for hard questions across science, maths and general knowledge, against 171 for DeepSeek-V3.
Which is better for writing, Qwen3-32B or DeepSeek-V3?
DeepSeek-V3 ranks 117 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?
Qwen3-32B ranks 22 of 152 models on sale for summarising without inventing things, and factual answers, against 25 for DeepSeek-V3.
Which has the bigger context window, Qwen3-32B or DeepSeek-V3?
DeepSeek-V3: 163,840 tokens, against 131,072 for Qwen3-32B.
Run Qwen3-32B and DeepSeek-V3 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.