Model comparison
DeepSeek V4.1 Flash vs Gemma 7B
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeek
GoogleSummary
- They share 14 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Gemma 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.4 to 27.1.
Side by side
| DeepSeek V4.1 Flash | Gemma 7B | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 52.8 | 30.0 |
| Released | 2026-09-09 | 2024-02-21 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Gemma 7B: 30.5 (#294)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Coding | 1506 | 1048 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
| HumanEval+ | — | 28.7% |
| MBPP+ | — | 43.4% |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Gemma 7B: —
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Gemma 7B: 19.9 (#249)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1042 |
| Epoch Capabilities Index | 154.9 | 111.99 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Adversarial NLI | — | 48.7% |
| BIG-Bench Hard | — | 55.1% |
| HellaSwag | — | 82.2% |
| PIQA | — | 81.2% |
| WinoGrande | — | 79% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Gemma 7B: 31.2 (#228)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Math | 1477 | 1066 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| GSM8K | — | 46.4% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Gemma 7B: 27.3 (#252)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Expert | 1506 | 1001 |
| GPQA Diamond | 89.8% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 83.2% |
| MMLU | — | 66.1% |
| OpenBookQA | — | 78.6% |
| TriviaQA | — | 72.3% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Gemma 7B: —
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Gemma 7B: 25.1 (#287)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Non-English | 1448 | 999 |
| LMArena Chinese | 1497 | 1035 |
| LMArena French | 1452 | 1025 |
| LMArena Russian | 1471 | 993 |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Spanish | 1459 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Gemma 7B: 51.5 (#295)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1017 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Gemma 7B: 31.1 (#282)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Longer Query | 1475 | 1022 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Gemma 7B: 27.1 (#302)
| Benchmark | DeepSeek V4.1 Flash | Gemma 7B |
|---|---|---|
| LMArena Text | 1462 | 1056 |
| LMArena Creative Writing | 1435 | 1024 |
| LMArena Multi-Turn | 1457 | 963 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemma 7B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.0 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemma 7B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 30.5 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemma 7B share?
14 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemma 7B has 27.