Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 26.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
DeepSeek
GoogleSummary
- They share 3 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 0 categories and Gemini 3.1 Pro Preview in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.1 Pro Preview leads 71.8 to 16.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 21.4% for DeepSeek-R1-Distill-Qwen-1.5B and 95.6% for Gemini 3.1 Pro Preview.
- 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 3.1 Pro Preview | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 26.1 | 56.7 |
| Released | 2025-01-20 | 2026-02-19 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 66K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $12 |
| Results tracked | 5 | 71 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Gemini 3.1 Pro Preview: 42.5 (#99)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| SWE-bench Verified | — | 75.6% |
| DeepSWE | — | 11.7% |
| LMArena WebDev | — | 1447 |
| SciCode | — | 58.9% |
| GSO | — | 22.6% |
| WeirdML | — | 72.1% |
| BigCodeBench Instruct | 7% | — |
| LMArena Coding | — | 1484 |
| MirrorCode | — | 8.9% |
| BigCodeBench Complete | 7.9% | — |
| ALE-Bench | — | 1,161 |
| AlgoTune | — | 2.02 |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 3.1 Pro Preview: 37.7 (#34)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| Terminal-Bench | — | 80.2% |
| APEX-Agents | — | 35.3% |
| τ²-bench Banking | — | 26% |
| DeepResearch Bench | — | 47.8% |
| PostTrainBench | — | 22% |
| BALROG | — | 57% |
| ExploitBench | — | 26.1% |
| GBAEval | — | 0.8% |
| GDP.pdf | — | 17% |
| LMArena Search | — | 1211 |
| METR Time Horizons | — | 77% |
| Vending-Bench 2 | — | 3,774 |
Reasoning Gemini 3.1 Pro Preview leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Gemini 3.1 Pro Preview: 71.7 (#12)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| Chess Puzzles | 0% | 55% |
| ARC-AGI-2 | — | 77.1% |
| SimpleBench | — | 79.6% |
| NYT Connections (extended) | — | 97.4% |
| ARC-AGI-1 | — | 98% |
| CritPt | — | 17.7% |
| EnigmaEval | — | 36.8% |
| Thematic Generalization | — | 79.4% |
| EBR-Bench | — | 14.3% |
| LMArena Hard Prompts | — | 1485 |
| Mystery Game Puzzles | — | 34% |
| DTBench | — | 97.1% |
| LMCA | — | 53.8% |
| Epoch Capabilities Index | — | 154.77 |
| ForecastBench | — | 59 |
Math Gemini 3.1 Pro Preview leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Gemini 3.1 Pro Preview: 62.1 (#34)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 59.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 86.5% |
| ProofBench | — | 26% |
| LMArena Math | — | 1485 |
| FrontierMath (Feb 2025 set) | — | 36.9% |
| FrontierMath Tier 4 (v1) | — | 16.7% |
Knowledge Gemini 3.1 Pro Preview leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Gemini 3.1 Pro Preview: 71.8 (#3)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| GPQA Diamond | 33.6% | 94.4% |
| Humanity's Last Exam | — | 46.4% |
| SimpleQA Verified | — | 73.5% |
| Vectara Hallucination Rate | — | 10.4% |
| LMArena Expert | — | 1485 |
Multimodal Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 3.1 Pro Preview: 37.9 (#69)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Vision | — | 1296 |
| Blueprint-Bench 2 | — | 26.5% |
| Furniture Assembly | — | 26.7% |
| LMArena Document | — | 1444 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 3.1 Pro Preview: 57.0 (#12)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Non-English | — | 1477 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1487 |
| LMArena German | — | 1491 |
| LMArena Japanese | — | 1493 |
| LMArena Korean | — | 1455 |
| LMArena Russian | — | 1498 |
| LMArena Spanish | — | 1479 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 3.1 Pro Preview: 77.0 (#32)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Instruction Following | — | 1466 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 3.1 Pro Preview: 47.4 (#18)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| CL-bench | — | 20.8% |
| CL-bench Life | — | 16.9% |
| LMArena Longer Query | — | 1483 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 3.1 Pro Preview: 66.1 (#37)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Text | — | 1481 |
| LMArena Creative Writing | — | 1482 |
| EQ-Bench Creative Writing | — | 1491 |
| EQ-Bench 4 | — | 1142 |
| LMArena Multi-Turn | — | 1488 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Gemini 3.1 Pro Preview better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Gemini 3.1 Pro Preview share?
3 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Gemini 3.1 Pro Preview has 71.