Compare / Qwen3.5-122B-A10B vs DeepSeek-V3.2-Exp
Qwen3.5-122B-A10B vs DeepSeek-V3.2-Exp
Which is cheaper, which is more capable, and which does better at each kind of work, from 19 results on 4 sources that measured both models.
Of the 19 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.
Qwen3.5-122B-A10B or DeepSeek-V3.2-Exp? The short answer
They score about the same, so pick DeepSeek-V3.2-Exp: it costs 2.3 times less per token.
- DeepSeek-V3.2-Exp is cheaper: $0.30 against $0.72 per million tokens, 2.3 times less.
- Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index: 17.7 against 16.6.
- Qwen3.5-122B-A10B is newer: released 24 Feb 2026, against 29 Sep 2025 for DeepSeek-V3.2-Exp.
- On third-party benchmarks, on the results both models have: Qwen3.5-122B-A10B does better for reasoning and knowledge; DeepSeek-V3.2-Exp for writing and sticking to the facts.
Head to head
Every fact side by side
| Qwen3.5-122B-A10B | DeepSeek-V3.2-Exp | |
|---|---|---|
| Price per million tokens | $0.26 in · $2.08 out | $0.27 in · $0.41 out |
| Blended (3 in : 1 out) | $0.72 | $0.30 |
| Cheapest host, blended | $0.72 (Alibaba) | – |
| Intelligence Index | 17.7 | 16.6 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 147 | – |
| Context window | 262,144 tokens | 163,840 tokens |
| Released | 24 Feb 2026 (newer) | 29 Sep 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 | Qwen3.5-122B-A10B | DeepSeek-V3.2-Exp |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 117 · 105 of 387 measured | 1,416 | 1,425thinking reasoning |
| Overall · Text factualityArena rating, higher is better 103 · 66 of 163 measured | 1,428 | 1,446thinking reasoning |
| Business, management and finance · TextArena rating, higher is better 105 · 104 of 380 measured | 1,422 | 1,422 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 114 · 119 of 243 measured | 17.7no reasoning | 16.6thinking reasoning |
| GPQA Diamond% of questions, higher is better 75 · 110 of 231 measured | 85.7% | 79.7%thinking reasoning |
| Humanity's Last Exam% of questions, higher is better 92 · 126 of 242 measured | 25.2% | 14.9%thinking reasoning |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 112 · 64 of 230 measured | 39.5no reasoning | 54.0thinking reasoning |
| Requested-length error · UGI% off the requested word count, lower is better 33 · 147 of 230 measured | 9.0%thinking reasoning | 25.0%thinking reasoning |
| Style adherence · UGIscore from 0 to 1, higher is better 83 · 113 of 230 measured | 0.36no reasoning | 0.35no reasoning |
| Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results | ||
| Hallucination rate · Vectara% of summaries, lower is better 72 · 15 of 104 measured | 11.2% | 5.3% |
| Answer rate · Vectara% of documents, higher is better 31 · 85 of 104 measured | 99.8% | 96.6% |
Show all 19 results (8 more)
| Measure | Qwen3.5-122B-A10B | DeepSeek-V3.2-Exp |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 4 results | ||
| Creative writing · TextArena rating, higher is better 136 · 79 of 385 measured | 1,366 | 1,410 |
| Expert prompts · TextArena rating, higher is better 111 · 99 of 338 measured | 1,442 | 1,449thinking reasoning |
| Instruction following · TextArena rating, higher is better 115 · 98 of 387 measured | 1,406 | 1,416thinking reasoning |
| Writing, literature and language · TextArena rating, higher is better 125 · 90 of 386 measured | 1,387 | 1,411 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 22 · 93 of 195 measured | 75.7% | 54.2%thinking reasoning |
| Long-context reasoning (AA-LCR)% of questions, higher is better 72 · 96 of 233 measured | 76.3% | 72.3%thinking reasoning |
| Terminal-Bench Hard% of tasks, higher is better 65 · 65 of 190 measured | 31.1% | 31.1%thinking reasoning |
| τ²-bench telecom% of tasks, higher is better 30 · 126 of 193 measured | 93.6% | 33.9%no reasoning |
Compare them with other models
Quick answers
Is Qwen3.5-122B-A10B better than DeepSeek-V3.2-Exp?
They score about the same, so pick DeepSeek-V3.2-Exp: it costs 2.3 times less per token.
Which is cheaper, Qwen3.5-122B-A10B or DeepSeek-V3.2-Exp?
DeepSeek-V3.2-Exp is cheaper: $0.30 against $0.72 per million tokens, 2.3 times less.
Which is better for agents and tool use, Qwen3.5-122B-A10B 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 95 for Qwen3.5-122B-A10B.
Which is better for reasoning and knowledge, Qwen3.5-122B-A10B or DeepSeek-V3.2-Exp?
Qwen3.5-122B-A10B ranks 87 of 198 models on sale for hard questions across science, maths and general knowledge, against 106 for DeepSeek-V3.2-Exp.
Which is better for writing, Qwen3.5-122B-A10B 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 102 for Qwen3.5-122B-A10B.
Which is better for sticking to the facts, Qwen3.5-122B-A10B or DeepSeek-V3.2-Exp?
DeepSeek-V3.2-Exp ranks 40 of 152 models on sale for summarising without inventing things, and factual answers, against 108 for Qwen3.5-122B-A10B.
Which has the bigger context window, Qwen3.5-122B-A10B or DeepSeek-V3.2-Exp?
Qwen3.5-122B-A10B: 262,144 tokens, against 163,840 for DeepSeek-V3.2-Exp.
Run Qwen3.5-122B-A10B 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.