Model comparison
DeepSeek LLM 67B vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 24.9 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Qwen3.6 35B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 86.7% for Qwen3.6 35B-A3B.
Side by side
| DeepSeek LLM 67B | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 24.9 | 37.6 |
| Released | 2023-11-29 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 15 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
DeepSeek LLM 67B: 31.9 (#278), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| LMArena Coding | 1096 | — |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
DeepSeek LLM 67B: 16.5 (#304), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| Chess Puzzles | 0% | 26% |
| Epoch Capabilities Index | 110.5 | 143.93 |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1070 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
Math Qwen3.6 35B-A3B leads
DeepSeek LLM 67B: 8.7 (#324), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 20.4% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Qwen3.6 35B-A3B leads
DeepSeek LLM 67B: 7.0 (#313), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 24.6% | 84.8% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Qwen3.6 35B-A3B: —
| Benchmark | DeepSeek LLM 67B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Qwen3.6 35B-A3B share?
4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Qwen3.6 35B-A3B has 14.