Compare / Qwen3-14B vs DeepSeek-V3.2-Exp
Qwen3-14B vs DeepSeek-V3.2-Exp
Which is cheaper, which is more capable, and which does better at each kind of work, from 20 results on 4 sources that measured both models.
Of the 20 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.
Qwen3-14B 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 8.2). Pick Qwen3-14B if cost matters more: it costs 2.0 times less per token.
- Qwen3-14B is cheaper: $0.15 against $0.30 per million tokens, 2.0 times less.
- DeepSeek-V3.2-Exp scores higher on the Artificial Analysis Intelligence Index: 16.6 against 8.2.
- DeepSeek-V3.2-Exp is newer: released 29 Sep 2025, against 28 Apr 2025 for Qwen3-14B.
- 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
Every fact side by side
| Qwen3-14B | DeepSeek-V3.2-Exp | |
|---|---|---|
| Price per million tokens | $0.12 in · $0.24 out | $0.27 in · $0.41 out |
| Blended (3 in : 1 out) | $0.15 | $0.30 |
| Cheapest host, blended | $0.13 (NextBit, INT4) | – |
| Intelligence Index | 8.2 | 16.6 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 163,840 tokens |
| Released | 28 Apr 2025 | 29 Sep 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 | Qwen3-14B | DeepSeek-V3.2-Exp |
|---|---|---|
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 194 · 119 of 243 measured | 8.2thinking reasoning | 16.6thinking reasoning |
| GPQA Diamond% of questions, higher is better 181 · 110 of 231 measured | 60.4%thinking reasoning | 79.7%thinking reasoning |
| Humanity's Last Exam% of questions, higher is better 202 · 126 of 242 measured | 4.5%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 34 · 12 of 81 measured | 41.0%bfcl fc | 56.7%thinking reasoning, bfcl prompt |
| Irrelevance detection · BFCL% correct, higher is better 20 · 8 of 81 measured | 87.2%bfcl prompt | 93.2%bfcl fc |
| Memory · BFCL% correct, higher is better 33 · 7 of 81 measured | 19.6%bfcl fc | 54.2%bfcl fc |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 128 · 64 of 230 measured | 34.8no reasoning | 54.0thinking reasoning |
| Requested-length error · UGI% off the requested word count, lower is better 111 · 147 of 230 measured | 20.0%no reasoning | 25.0%thinking reasoning |
| Style adherence · UGIscore from 0 to 1, higher is better 49 · 113 of 230 measured | 0.37no reasoning | 0.35no reasoning |
| Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results | ||
| Hallucination rate · Vectara% of summaries, lower is better 17 · 15 of 104 measured | 5.4% | 5.3% |
| Answer rate · Vectara% of documents, higher is better 17 · 85 of 104 measured | 99.9% | 96.6% |
Show all 20 results (9 more)
| Measure | Qwen3-14B | DeepSeek-V3.2-Exp |
|---|---|---|
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 132 · 93 of 195 measured | 40.5%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 153 · 65 of 190 measured | 5.3%no reasoning | 31.1%thinking reasoning |
| τ²-bench telecom% of tasks, higher is better 123 · 126 of 193 measured | 34.5%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 31 · 21 of 81 measured | 34.8%bfcl fc | 44.9%thinking reasoning, bfcl prompt |
| Relevance detection · BFCL% correct, higher is better 26 · 8 of 81 measured | 87.5%bfcl fc | 93.8%thinking reasoning, bfcl prompt |
| Single-turn calls (curated) · BFCL% correct, higher is better 7 · 33 of 81 measured | 89.5%bfcl prompt | 85.5%thinking reasoning, bfcl prompt |
| Single-turn calls (user-contributed) · BFCL% correct, higher is better 10 · 29 of 81 measured | 80.0%bfcl fc | 76.0%thinking reasoning, bfcl prompt |
| Web search · BFCL% correct, higher is better 37 · 14 of 81 measured | 10.5%bfcl prompt | 69.5%bfcl fc |
Compare them with other models
Quick answers
Is Qwen3-14B better than DeepSeek-V3.2-Exp?
Pick DeepSeek-V3.2-Exp if quality matters most: it scores higher (Intelligence Index 16.6 against 8.2). Pick Qwen3-14B if cost matters more: it costs 2.0 times less per token.
Which is cheaper, Qwen3-14B or DeepSeek-V3.2-Exp?
Qwen3-14B is cheaper: $0.15 against $0.30 per million tokens, 2.0 times less.
Which is better for agents and tool use, Qwen3-14B 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 122 for Qwen3-14B.
Which is better for reasoning and knowledge, Qwen3-14B 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 162 for Qwen3-14B.
Which is better for writing, Qwen3-14B 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 130 for Qwen3-14B.
Which is better for sticking to the facts, Qwen3-14B or DeepSeek-V3.2-Exp?
Qwen3-14B ranks 15 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, Qwen3-14B or DeepSeek-V3.2-Exp?
DeepSeek-V3.2-Exp: 163,840 tokens, against 131,072 for Qwen3-14B.
Run Qwen3-14B 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.