Model comparison
DeepSeek-R1-Distill-Qwen-14B vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 32.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-14B scores higher in 2 categories and Qwen3.5-9B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 24.1.
- The biggest single-benchmark swing is GPQA Diamond: 44.7% for DeepSeek-R1-Distill-Qwen-14B and 79% for Qwen3.5-9B.
Side by side
| DeepSeek-R1-Distill-Qwen-14B | Qwen3.5-9B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 32.7 | 33.8 |
| Released | 2025-01-20 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 7 | 10 |
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Category by category
Coding DeepSeek-R1-Distill-Qwen-14B leads
DeepSeek-R1-Distill-Qwen-14B: 36.9 (#200), Qwen3.5-9B: 35.9 (#217)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 38.1% | — |
| BigCodeBench Complete | 48.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-14B: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
DeepSeek-R1-Distill-Qwen-14B: 19.2 (#263), Qwen3.5-9B: 23.1 (#182)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Qwen3.5-9B |
|---|---|---|
| Chess Puzzles | 1% | 12% |
| Epoch Capabilities Index | 135.43 | 139.46 |
| CritPt | — | 0.3% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
Math Too close to call
DeepSeek-R1-Distill-Qwen-14B: 35.5 (#184), Qwen3.5-9B: 34.8 (#192)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 50.6% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
| MATH Level 5 | 87.1% | — |
Knowledge Qwen3.5-9B leads
DeepSeek-R1-Distill-Qwen-14B: 24.1 (#270), Qwen3.5-9B: 46.0 (#84)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 44.7% | 79% |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-14B better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 32.7 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-14B or Qwen3.5-9B better for coding?
DeepSeek-R1-Distill-Qwen-14B scores higher on coding benchmarks: 36.9 versus 35.9 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-14B and Qwen3.5-9B share?
4 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-14B has 7 scored results on Noometry and Qwen3.5-9B has 10.