Model comparison
DeepSeek V4.1 Flash vs Gemini 2.0 Flash (Feb 2025)
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 35.1 on the Noometry Index.
Last verified . 23 shared benchmarks.
DeepSeek
GoogleSummary
- They share 23 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 10 categories and Gemini 2.0 Flash (Feb 2025) in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 15.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 57.8% for Gemini 2.0 Flash (Feb 2025).
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 52.8 | 35.1 |
| Released | 2026-09-09 | 2024-12-06 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 54 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Gemini 2.0 Flash (Feb 2025): 28.4 (#315)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Coding | 1506 | 1350 |
| SWE-bench Verified (bash only) | — | 13.5% |
| Aider Polyglot | — | 38.2% |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| WeirdML | — | 25.8% |
| BigCodeBench Instruct | — | 45.9% |
| LiveBench Coding | — | 63.4% |
| BigCodeBench Complete | — | 59.9% |
| CadEval | — | 30% |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 31.2 (#69), Gemini 2.0 Flash (Feb 2025): 28.1 (#92)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| APEX-Agents | 39.5% | — |
| TheAgentCompany | — | 11.4% |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Gemini 2.0 Flash (Feb 2025): 15.2 (#318)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1346 |
| DTBench | 89.9% | 63.2% |
| Epoch Capabilities Index | 154.9 | 135.36 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31.1% |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| EnigmaEval | — | 1.1% |
| LiveBench Reasoning | — | 78.2% |
| Mystery Game Puzzles | 43% | — |
| LiveBench Data Analysis | — | 69.4% |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| LiveBench | — | 66.9% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Gemini 2.0 Flash (Feb 2025): 37.9 (#146)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 57.8% |
| LMArena Math | 1477 | 1352 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| Omni-MATH | — | 45.9% |
| LiveBench Math | — | 75.8% |
| MATH Level 5 | — | 82.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Gemini 2.0 Flash (Feb 2025): 32.0 (#213)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| GPQA Diamond | 89.8% | 64.1% |
| LMArena Expert | 1506 | 1339 |
| Humanity's Last Exam | — | 6.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 55.6% |
| MMLU | — | 79.7% |
Multimodal DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 39.1 (#61), Gemini 2.0 Flash (Feb 2025): 36.5 (#79)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Vision | 1277 | 1158 |
| GeoBench | — | 77% |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Gemini 2.0 Flash (Feb 2025): 47.4 (#149)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Non-English | 1448 | 1342 |
| LMArena Chinese | 1497 | 1373 |
| LMArena French | 1452 | 1391 |
| LMArena German | 1484 | 1353 |
| LMArena Japanese | 1412 | 1294 |
| LMArena Korean | 1452 | 1313 |
| LMArena Russian | 1471 | 1351 |
| LMArena Spanish | 1459 | 1363 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Gemini 2.0 Flash (Feb 2025): 74.4 (#97)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Instruction Following | 1474 | 1336 |
| LiveBench Instruction Following | — | 85.8% |
| IFEval | — | 84.1% |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Gemini 2.0 Flash (Feb 2025): 38.1 (#203)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Longer Query | 1475 | 1344 |
| Fiction.LiveBench | — | 61.1% |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Gemini 2.0 Flash (Feb 2025): 49.5 (#190)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Text | 1462 | 1354 |
| LMArena Creative Writing | 1435 | 1340 |
| EQ-Bench Creative Writing | 1540 | 1128 |
| LMArena Multi-Turn | 1457 | 1350 |
| Short-Story Creative Writing | — | 73.8% |
| WildBench | — | 80% |
| LiveBench Language | — | 51.3% |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemini 2.0 Flash (Feb 2025)?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 35.1 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemini 2.0 Flash (Feb 2025) better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 28.4 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemini 2.0 Flash (Feb 2025) share?
23 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemini 2.0 Flash (Feb 2025) has 54.