Compare / Qwen3.5-122B-A10B vs DeepSeek-V3
Qwen3.5-122B-A10B 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.
Qwen3.5-122B-A10B or DeepSeek-V3? The short answer
Pick Qwen3.5-122B-A10B if quality matters most: it scores higher (Intelligence Index 17.7 against 8.5). Pick DeepSeek-V3 if cost matters more: it costs 37% less per token.
- DeepSeek-V3 is cheaper: $0.45 against $0.72 per million tokens, 37% less.
- Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index: 17.7 against 8.5.
- Qwen3.5-122B-A10B is newer: released 24 Feb 2026, against 26 Dec 2024 for DeepSeek-V3.
- On third-party benchmarks, on the results both models have: Qwen3.5-122B-A10B does better for agents and tool use and reasoning and knowledge; DeepSeek-V3 for sticking to the facts.
Head to head
Every fact side by side
| Qwen3.5-122B-A10B | DeepSeek-V3 | |
|---|---|---|
| Price per million tokens | $0.26 in · $2.08 out | $0.26 in · $1.03 out |
| Blended (3 in : 1 out) | $0.72 | $0.45 |
| Cheapest host, blended | $0.72 (Alibaba) | $0.45 (StreamLake) |
| Intelligence Index | 17.7 | 8.5 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 147 | – |
| Context window | 262,144 tokens | 163,840 tokens |
| Released | 24 Feb 2026 (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 | Qwen3.5-122B-A10B | DeepSeek-V3 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 117 · 180 of 387 measured | 1,416 | 1,358 |
| Business, management and finance · TextArena rating, higher is better 105 · 189 of 380 measured | 1,422 | 1,350 |
| Creative writing · TextArena rating, higher is better 136 · 155 of 385 measured | 1,366 | 1,349 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 114 · 191 of 243 measured | 17.7no reasoning | 8.5 |
| GPQA Diamond% of questions, higher is better 75 · 192 of 231 measured | 85.7% | 55.7% |
| Humanity's Last Exam% of questions, higher is better 92 · 237 of 242 measured | 25.2% | 2.9% |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 112 · 93 of 230 measured | 39.5no reasoning | 43.2 |
| Requested-length error · UGI% off the requested word count, lower is better 33 · 83 of 230 measured | 9.0%thinking reasoning | 17.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 83 · 42 of 230 measured | 0.36no reasoning | 0.37 |
| Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results | ||
| Hallucination rate · Vectara% of summaries, lower is better 72 · 25 of 104 measured | 11.2% | 6.1% |
| Answer rate · Vectara% of documents, higher is better 31 · 81 of 104 measured | 99.8% | 97.5% |
Show all 23 results (12 more)
| Measure | Qwen3.5-122B-A10B | DeepSeek-V3 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 111 · 197 of 338 measured | 1,442 | 1,348 |
| Instruction following · TextArena rating, higher is better 115 · 184 of 387 measured | 1,406 | 1,343 |
| Writing, literature and language · TextArena rating, higher is better 125 · 162 of 386 measured | 1,387 | 1,356 |
| Artificial Analysis reported by Artificial Analysis · 9 results | ||
| Terminal-Bench 2.1% of tasks, higher is better 64 · 94 of 130 measured | 47.6% | 16.9% |
| Terminal-Bench 4.0% of tasks, higher is better 66 · 66 of 112 measured | 0.0% | 0.0% |
| τ-bench banking% of tasks, higher is better 58 · 109 of 121 measured | 15.3% | 4.7% |
| Artificial Analysis Coding Indexindex score, higher is better 65 · 94 of 131 measured | 45.7 | 23.0 |
| IFBench% of instructions, higher is better 22 · 159 of 195 measured | 75.7% | 34.8% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 72 · 187 of 233 measured | 76.3% | 29.3% |
| SciCode% of problems, higher is better 79 · 92 of 113 measured | 39.7% | 35.8% |
| Terminal-Bench Hard% of tasks, higher is better 65 · 140 of 190 measured | 31.1% | 6.8% |
| τ²-bench telecom% of tasks, higher is better 30 · 159 of 193 measured | 93.6% | 22.8% |
Compare them with other models
Quick answers
Is Qwen3.5-122B-A10B better than DeepSeek-V3?
Pick Qwen3.5-122B-A10B if quality matters most: it scores higher (Intelligence Index 17.7 against 8.5). Pick DeepSeek-V3 if cost matters more: it costs 37% less per token.
Which is cheaper, Qwen3.5-122B-A10B or DeepSeek-V3?
DeepSeek-V3 is cheaper: $0.45 against $0.72 per million tokens, 37% less.
Which is better for agents and tool use, Qwen3.5-122B-A10B or DeepSeek-V3?
Qwen3.5-122B-A10B ranks 95 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, Qwen3.5-122B-A10B or DeepSeek-V3?
Qwen3.5-122B-A10B ranks 87 of 198 models on sale for hard questions across science, maths and general knowledge, against 171 for DeepSeek-V3.
Which is better for writing, Qwen3.5-122B-A10B or DeepSeek-V3?
Qwen3.5-122B-A10B ranks 102 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 117 for DeepSeek-V3.
Which is better for sticking to the facts, Qwen3.5-122B-A10B or DeepSeek-V3?
DeepSeek-V3 ranks 25 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?
Qwen3.5-122B-A10B: 262,144 tokens, against 163,840 for DeepSeek-V3.
Run Qwen3.5-122B-A10B 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.