Model comparison
DeepSeek V4.1 Flash vs Gemma 2 9B
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 25.9 on the Noometry Index.
Last verified . 21 shared benchmarks.
DeepSeek
GoogleSummary
- They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Gemma 2 9B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 0.6% for Gemma 2 9B.
Side by side
| DeepSeek V4.1 Flash | Gemma 2 9B | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 52.8 | 25.9 |
| Released | 2026-09-09 | 2024-06-24 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 35 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Gemma 2 9B: 29.4 (#304)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Coding | 1506 | 1173 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 34.7% |
| LiveBench Coding | — | 22.5% |
| BigCodeBench Complete | — | 40.6% |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Gemma 2 9B: —
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Gemma 2 9B: 15.9 (#309)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1171 |
| Epoch Capabilities Index | 154.9 | 119.83 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| LiveBench Reasoning | — | 15.2% |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 36.4% |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| LiveBench | — | 28.7% |
| PIQA | — | 83.7% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Gemma 2 9B: 9.9 (#318)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 0.6% |
| LMArena Math | 1477 | 1183 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| LiveBench Math | — | 19.8% |
| MATH Level 5 | — | 21% |
| GSM8K | — | 84.9% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Gemma 2 9B: 9.7 (#305)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| GPQA Diamond | 89.8% | 27.5% |
| LMArena Expert | 1506 | 1147 |
| BoolQ | — | 85.7% |
| MMLU | — | 72.1% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Gemma 2 9B: —
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Gemma 2 9B: 36.6 (#238)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Non-English | 1448 | 1188 |
| LMArena Chinese | 1497 | 1185 |
| LMArena French | 1452 | 1190 |
| LMArena German | 1484 | 1186 |
| LMArena Japanese | 1412 | 1144 |
| LMArena Korean | 1452 | 1137 |
| LMArena Russian | 1471 | 1200 |
| LMArena Spanish | 1459 | 1200 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Gemma 2 9B: 57.6 (#269)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1178 |
| LiveBench Instruction Following | — | 52.6% |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Gemma 2 9B: 36.3 (#233)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Longer Query | 1475 | 1197 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Gemma 2 9B: 32.1 (#281)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2 9B |
|---|---|---|
| LMArena Text | 1462 | 1207 |
| LMArena Creative Writing | 1435 | 1206 |
| EQ-Bench Creative Writing | 1540 | 841 |
| LMArena Multi-Turn | 1457 | 1193 |
| LiveBench Language | — | 25.5% |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemma 2 9B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 25.9 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemma 2 9B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 29.4 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemma 2 9B share?
21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemma 2 9B has 35.