Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Gemini 2.0 Pro
Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 26.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeek
GoogleSummary
- They share 1 benchmark with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 0 categories and Gemini 2.0 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.0 Pro leads 36.5 to 16.0.
- The biggest single-benchmark swing is GPQA Diamond: 33.6% for DeepSeek-R1-Distill-Qwen-1.5B and 65.7% for Gemini 2.0 Pro.
- DeepSeek-R1-Distill-Qwen-1.5B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 26.1 | 39.1 |
| Released | 2025-01-20 | 2025-02-05 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 5 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Gemini 2.0 Pro: 37.8 (#187)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| Aider Polyglot | — | 35.6% |
| BigCodeBench Instruct | 7% | — |
| LiveBench Coding | — | 63.5% |
| BigCodeBench Complete | 7.9% | — |
Reasoning Gemini 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Gemini 2.0 Pro: 22.3 (#198)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.7% |
| LiveBench Reasoning | — | 60.1% |
| LiveBench Data Analysis | — | 68% |
| Epoch Capabilities Index | — | 135.06 |
| LiveBench | — | 65.1% |
Math Gemini 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Gemini 2.0 Pro: 39.7 (#100)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| LiveBench Math | — | 71% |
| MATH Level 5 | — | 83.5% |
Knowledge Gemini 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Gemini 2.0 Pro: 36.5 (#167)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| GPQA Diamond | 33.6% | 65.7% |
| Confabulations | — | 18.4% |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Pro: 75.5 (#59)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Instruction Following | — | 83.4% |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Pro: 29.2 (#292)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| Fiction.LiveBench | — | 41.7% |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Pro: 52.7 (#165)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Language | — | 44.9% |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Gemini 2.0 Pro?
Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Gemini 2.0 Pro better for coding?
Gemini 2.0 Pro scores higher on coding benchmarks: 37.8 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Gemini 2.0 Pro share?
1 benchmark has published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Gemini 2.0 Pro has 14.