Compare / Qwen3-32B vs DeepSeek-V3.2-Exp

Qwen3-32B vs DeepSeek-V3.2-Exp

Which is cheaper, which is more capable, and which does better at each kind of work, from 26 results on 5 sources that measured both models.

AlibabaQwen3-32B Released 28 Apr 2025 · $0.14 in · $0.40 out
DeepSeekDeepSeek-V3.2-Exp Released 29 Sep 2025 · $0.27 in · $0.41 out
Qwen3-32B wins 52 too close to callDeepSeek-V3.2-Exp wins 19

Of the 26 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-V3.2-Exp? The short answer

Pick DeepSeek-V3.2-Exp if quality matters most: it scores higher (Intelligence Index 16.6 against 8.6). Pick Qwen3-32B if cost matters more: it costs 33% less per token.

  • Qwen3-32B is cheaper: $0.21 against $0.30 per million tokens, 33% less.
  • DeepSeek-V3.2-Exp scores higher on the Artificial Analysis Intelligence Index: 16.6 against 8.6.
  • DeepSeek-V3.2-Exp is newer: released 29 Sep 2025, against 28 Apr 2025 for Qwen3-32B.
  • On third-party benchmarks, on the results both models have: DeepSeek-V3.2-Exp does better for agents and tool use, reasoning and knowledge, writing and sticking to the facts.

Head to head

8.6
Intelligence Index
16.6
$0.21
Price per million tokens, blendedlower is better
$0.30
131,072
Context window, tokens
163,840

Every fact side by side

Qwen3-32BDeepSeek-V3.2-Exp
Price per million tokens$0.14 in · $0.40 out$0.27 in · $0.41 out
Blended (3 in : 1 out)$0.21$0.30
Cheapest host, blended$0.13 (DeepInfra, FP8)–
Intelligence Index8.616.6
Spring Prompt overall––
Output speed, tokens a second––
Context window131,072 tokens163,840 tokens
Released28 Apr 202529 Sep 2025 (newer)
WeightsOpenOpen
Developer based inChinaChina

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.

Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 113 of 164 72 of 164
Reasoning and knowledgeHard questions across science, maths and general knowledge 148 of 198 106 of 198
WritingWhat people prefer in blind comparisons, and judged writing quality 139 of 188 71 of 188
Sticking to the factsSummarising without inventing things, and factual answers 22 of 152 40 of 152

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.

MeasureQwen3-32BDeepSeek-V3.2-Exp
Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results
Overall · TextArena rating, higher is better 195 · 105 of 387 measured 1,347 1,425thinking reasoning
Business, management and finance · TextArena rating, higher is better 203 · 104 of 380 measured 1,340 1,422
Creative writing · TextArena rating, higher is better 205 · 79 of 385 measured 1,304 1,410
Artificial Analysis reported by Artificial Analysis · 3 results
Artificial Analysis Intelligence Indexindex score, higher is better 188 · 119 of 243 measured 8.6thinking reasoning 16.6thinking reasoning
GPQA Diamond% of questions, higher is better 167 · 110 of 231 measured 66.8%thinking reasoning 79.7%thinking reasoning
Humanity's Last Exam% of questions, higher is better 168 · 126 of 242 measured 7.4%thinking reasoning 14.9%thinking reasoning
Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 3 results
Overall accuracy · BFCL% correct, higher is better 24 · 12 of 81 measured 48.7%bfcl fc 56.7%thinking reasoning, bfcl prompt
Irrelevance detection · BFCL% correct, higher is better 37 · 8 of 81 measured 82.4%bfcl prompt 93.2%bfcl fc
Memory · BFCL% correct, higher is better 21 · 7 of 81 measured 26.7%bfcl fc 54.2%bfcl fc
UGI Leaderboard reported by UGI Leaderboard · 3 results
Writing score · UGIscore out of 100, higher is better 134 · 64 of 230 measured 33.0no reasoning 54.0thinking reasoning
Requested-length error · UGI% off the requested word count, lower is better 99 · 147 of 230 measured 19.0%no reasoning 25.0%thinking reasoning
Style adherence · UGIscore from 0 to 1, higher is better 175 · 113 of 230 measured 0.32no reasoning 0.35no reasoning
Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results
Hallucination rate · Vectara% of summaries, lower is better 24 · 15 of 104 measured 5.9% 5.3%
Answer rate · Vectara% of documents, higher is better 17 · 85 of 104 measured 99.9% 96.6%
Show all 26 results (12 more)
MeasureQwen3-32BDeepSeek-V3.2-Exp
Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results
Expert prompts · TextArena rating, higher is better 159 · 99 of 338 measured 1,398 1,449thinking reasoning
Instruction following · TextArena rating, higher is better 198 · 98 of 387 measured 1,331 1,416thinking reasoning
Writing, literature and language · TextArena rating, higher is better 217 · 90 of 386 measured 1,308 1,411
Artificial Analysis reported by Artificial Analysis · 4 results
IFBench% of instructions, higher is better 155 · 93 of 195 measured 36.3%thinking reasoning 54.2%thinking reasoning
Long-context reasoning (AA-LCR)% of questions, higher is better 222 · 96 of 233 measured 0.0%no reasoning 72.3%thinking reasoning
Terminal-Bench Hard% of tasks, higher is better 169 · 65 of 190 measured 3.0%thinking reasoning 31.1%thinking reasoning
τ²-bench telecom% of tasks, higher is better 135 · 126 of 193 measured 29.8%thinking reasoning 33.9%no reasoning
Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 5 results
Multi-turn tasks · BFCL% correct, higher is better 17 · 21 of 81 measured 47.9%bfcl fc 44.9%thinking reasoning, bfcl prompt
Relevance detection · BFCL% correct, higher is better 8 · 8 of 81 measured 93.8%bfcl fc 93.8%thinking reasoning, bfcl prompt
Single-turn calls (curated) · BFCL% correct, higher is better 3 · 33 of 81 measured 90.3%bfcl prompt 85.5%thinking reasoning, bfcl prompt
Single-turn calls (user-contributed) · BFCL% correct, higher is better 3 · 29 of 81 measured 82.0%bfcl fc 76.0%thinking reasoning, bfcl prompt
Web search · BFCL% correct, higher is better 28 · 14 of 81 measured 26.0%bfcl prompt 69.5%bfcl fc

Quick answers

Is Qwen3-32B better than DeepSeek-V3.2-Exp?

Pick DeepSeek-V3.2-Exp if quality matters most: it scores higher (Intelligence Index 16.6 against 8.6). Pick Qwen3-32B if cost matters more: it costs 33% less per token.

Which is cheaper, Qwen3-32B or DeepSeek-V3.2-Exp?

Qwen3-32B is cheaper: $0.21 against $0.30 per million tokens, 33% less.

Which is better for agents and tool use, Qwen3-32B or DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp ranks 72 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 113 for Qwen3-32B.

Which is better for reasoning and knowledge, Qwen3-32B or DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp ranks 106 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-V3.2-Exp?

DeepSeek-V3.2-Exp ranks 71 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-V3.2-Exp?

Qwen3-32B ranks 22 of 152 models on sale for summarising without inventing things, and factual answers, against 40 for DeepSeek-V3.2-Exp.

Which has the bigger context window, Qwen3-32B or DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp: 163,840 tokens, against 131,072 for Qwen3-32B.

Run Qwen3-32B and DeepSeek-V3.2-Exp on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.