Compare / Qwen3.5-122B-A10B vs DeepSeek V3 0324
Qwen3.5-122B-A10B vs DeepSeek V3 0324
Which is cheaper, which is more capable, and which does better at each kind of work, from 21 results on 3 sources that measured both models.
Qwen3.5-122B-A10B or DeepSeek V3 0324? The short answer
- DeepSeek V3 0324 is cheaper: $0.44 against $0.72 per million tokens, 39% less.
- Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index: 17.7 against 9.7.
- On our business benchmarks, Qwen3.5-122B-A10B ranks higher for agents and tool use and reasoning and knowledge.
- On our business benchmarks, DeepSeek V3 0324 ranks higher for writing.
At a glance
| Qwen3.5-122B-A10B | DeepSeek V3 0324 | |
|---|---|---|
| Price per million tokens | $0.26 in · $2.08 out | $0.25 in · $1.00 out |
| Blended (3 in : 1 out) | $0.72 | $0.44 |
| Cheapest host, blended | $0.72 (SiliconFlow, FP8) | $0.44 (SiliconFlow, FP8) |
| Intelligence Index | 17.7 | 9.7 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 147 | – |
| Context window | 262,144 tokens | 163,840 tokens |
| 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 models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | Qwen3.5-122B-A10B | DeepSeek V3 0324 |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 89 of 161 | 138 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 83 of 195 | 152 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 101 of 187 | 92 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 107 of 153 | not measured |
Every shared result
| Benchmark | Metric | Qwen3.5-122B-A10B | DeepSeek V3 0324 |
|---|---|---|---|
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,422 | 1,390 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,366 | 1,390 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,442 | 1,398 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,406 | 1,378 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,416 | 1,396 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,387 | 1,386 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 45.7 | 21.2 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 17.7 | 9.70 |
| Artificial Analysisreported | GPQA Diamond% of questions | 85.7% | 65.5% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 25.2% | 4.7% |
| Artificial Analysisreported | IFBench% of instructions | 75.7% | 41.0% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 76.3% | 40.7% |
| Artificial Analysisreported | SciCode% of problems | 39.7% | 39.0% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 47.6% | 13.9% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 0.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 31.1% | 15.2% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 15.3% | 4.7% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 93.6% | 47.1% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 9.0% | 32.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.36 | 0.35 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 39.5 | 49.1 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is Qwen3.5-122B-A10B better than DeepSeek V3 0324?
It depends on the task. Among models available today, on our benchmarks and licensed sources, Qwen3.5-122B-A10B ranks higher for agents and tool use and reasoning and knowledge; DeepSeek V3 0324 ranks higher for writing.
Which is cheaper, Qwen3.5-122B-A10B or DeepSeek V3 0324?
DeepSeek V3 0324 costs $0.44 per million tokens (three input to one output), against $0.72 for Qwen3.5-122B-A10B.
Run Qwen3.5-122B-A10B and DeepSeek V3 0324 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.