Model comparison
DeepSeek-R1-Distill-Qwen-32B vs Gemini 2.0 Flash (Feb 2025)
DeepSeek-R1-Distill-Qwen-32B and Gemini 2.0 Flash (Feb 2025) score almost the same on the Noometry Index (35.5 vs 35.1), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
DeepSeek
GoogleSummary
- They share 12 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-32B scores higher in 4 categories and Gemini 2.0 Flash (Feb 2025) in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Gemini 2.0 Flash (Feb 2025) leads 74.4 to 61.6.
- The biggest single-benchmark swing is LiveBench Instruction Following: 55.7% for DeepSeek-R1-Distill-Qwen-32B and 85.8% for Gemini 2.0 Flash (Feb 2025).
- DeepSeek-R1-Distill-Qwen-32B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 35.5 | 35.1 |
| Released | 2025-01-20 | 2024-12-06 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 54 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212), Gemini 2.0 Flash (Feb 2025): 28.4 (#315)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| BigCodeBench Instruct | 43.9% | 45.9% |
| LiveBench Coding | 33.7% | 63.4% |
| BigCodeBench Complete | 54.9% | 59.9% |
| SWE-bench Verified (bash only) | — | 13.5% |
| Aider Polyglot | — | 38.2% |
| WeirdML | — | 25.8% |
| LMArena Coding | — | 1350 |
| CadEval | — | 30% |
Agentic & Tool Use Too close to call
DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94), Gemini 2.0 Flash (Feb 2025): 28.1 (#92)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| TheAgentCompany | — | 11.4% |
| BALROG | 19.5% | — |
Reasoning DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284), Gemini 2.0 Flash (Feb 2025): 15.2 (#318)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LiveBench Reasoning | 52.3% | 78.2% |
| LiveBench Data Analysis | 45.4% | 69.4% |
| Epoch Capabilities Index | 137.44 | 135.36 |
| LiveBench | 45.5% | 66.9% |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31.1% |
| Kagi LLM Benchmark | — | 37.8% |
| Chess Puzzles | 1% | — |
| EnigmaEval | — | 1.1% |
| LMArena Hard Prompts | — | 1346 |
| DTBench | — | 63.2% |
Math Gemini 2.0 Flash (Feb 2025) leads
DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194), Gemini 2.0 Flash (Feb 2025): 37.9 (#146)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | 57.8% |
| LiveBench Math | 59.4% | 75.8% |
| Omni-MATH | — | 45.9% |
| LMArena Math | — | 1352 |
| MATH Level 5 | — | 82.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182), Gemini 2.0 Flash (Feb 2025): 32.0 (#213)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| GPQA Diamond | 64.1% | 64.1% |
| Humanity's Last Exam | — | 6.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 55.6% |
| LMArena Expert | — | 1339 |
| MMLU | — | 79.7% |
Multimodal Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Gemini 2.0 Flash (Feb 2025): 36.5 (#79)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Vision | — | 1158 |
| GeoBench | — | 77% |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Gemini 2.0 Flash (Feb 2025): 47.4 (#149)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Non-English | — | 1342 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1391 |
| LMArena German | — | 1353 |
| LMArena Japanese | — | 1294 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1351 |
| LMArena Spanish | — | 1363 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
DeepSeek-R1-Distill-Qwen-32B: 61.6 (#243), Gemini 2.0 Flash (Feb 2025): 74.4 (#97)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LiveBench Instruction Following | 55.7% | 85.8% |
| IFEval | — | 84.1% |
| LMArena Instruction Following | — | 1336 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Gemini 2.0 Flash (Feb 2025): 38.1 (#203)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Fiction.LiveBench | — | 61.1% |
| LMArena Longer Query | — | 1344 |
Writing & Preference Too close to call
DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188), Gemini 2.0 Flash (Feb 2025): 49.5 (#190)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LiveBench Language | 26.8% | 51.3% |
| LMArena Text | — | 1354 |
| LMArena Creative Writing | — | 1340 |
| Short-Story Creative Writing | — | 73.8% |
| EQ-Bench Creative Writing | — | 1128 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1350 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-32B better than Gemini 2.0 Flash (Feb 2025)?
DeepSeek-R1-Distill-Qwen-32B and Gemini 2.0 Flash (Feb 2025) score almost the same on the Noometry Index (35.5 vs 35.1), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Qwen-32B or Gemini 2.0 Flash (Feb 2025) better for coding?
DeepSeek-R1-Distill-Qwen-32B scores higher on coding benchmarks: 36.1 versus 28.4 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-32B and Gemini 2.0 Flash (Feb 2025) share?
12 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-32B has 14 scored results on Noometry and Gemini 2.0 Flash (Feb 2025) has 54.