Model comparison
DeepSeek LLM 67B vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 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 Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 86.7% for Qwen3.7 Flash.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Qwen3.7 Flash | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 24.9 | 39.9 |
| Released | 2023-11-29 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.03 |
| Output $ / M tokens | — | $0.13 |
| Results tracked | 15 | 7 |
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Category by category
Coding Not comparable
DeepSeek LLM 67B: 31.9 (#278), Qwen3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1096 | — |
Reasoning Qwen3.7 Flash leads
DeepSeek LLM 67B: 16.5 (#304), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 0% | 23% |
| Epoch Capabilities Index | 110.5 | 144.64 |
| NYT Connections (extended) | — | 43.8% |
| LMArena Hard Prompts | 1070 | — |
| Mystery Game Puzzles | — | 15% |
Math Qwen3.7 Flash leads
DeepSeek LLM 67B: 8.7 (#324), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Qwen3.7 Flash leads
DeepSeek LLM 67B: 7.0 (#313), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 24.6% | 82.3% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Qwen3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Qwen3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Qwen3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Qwen3.7 Flash: —
| Benchmark | DeepSeek LLM 67B | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 24.9 on the Noometry Index.
How many benchmarks do DeepSeek LLM 67B and Qwen3.7 Flash share?
4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Qwen3.7 Flash has 7.