Model comparison
DeepSeek V4.1 Flash vs Gemini 2.0 Pro
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeek
GoogleSummary
- They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and Gemini 2.0 Pro in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 22.3.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for DeepSeek V4.1 Flash and 65.7% for Gemini 2.0 Pro.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Gemini 2.0 Pro | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 52.8 | 39.1 |
| Released | 2026-09-09 | 2025-02-05 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 14 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Gemini 2.0 Pro: 37.8 (#187)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| Aider Polyglot | — | 35.6% |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| LiveBench Coding | — | 63.5% |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Gemini 2.0 Pro: —
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Gemini 2.0 Pro: 22.3 (#198)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| Epoch Capabilities Index | 154.9 | 135.06 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| EnigmaEval | — | 0.7% |
| LiveBench Reasoning | — | 60.1% |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 68% |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| LiveBench | — | 65.1% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Gemini 2.0 Pro: 39.7 (#100)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LiveBench Math | — | 71% |
| LMArena Math | 1477 | — |
| MATH Level 5 | — | 83.5% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Gemini 2.0 Pro: 36.5 (#167)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| GPQA Diamond | 89.8% | 65.7% |
| Confabulations | — | 18.4% |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Gemini 2.0 Pro: —
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Gemini 2.0 Pro: —
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Gemini 2.0 Pro: 75.5 (#59)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| LiveBench Instruction Following | — | 83.4% |
| LMArena Instruction Following | 1474 | — |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Gemini 2.0 Pro: 29.2 (#292)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| Fiction.LiveBench | — | 41.7% |
| LMArena Longer Query | 1475 | — |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Gemini 2.0 Pro: 52.7 (#165)
| Benchmark | DeepSeek V4.1 Flash | Gemini 2.0 Pro |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1457 | — |
| LiveBench Language | — | 44.9% |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemini 2.0 Pro?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.1 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemini 2.0 Pro better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 37.8 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemini 2.0 Pro share?
2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemini 2.0 Pro has 14.