Model comparison
DeepSeek V4.1 Flash vs Gemma 2B
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 29.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
GoogleSummary
- They share 12 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and Gemma 2B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.8 to 24.1.
Side by side
| DeepSeek V4.1 Flash | Gemma 2B | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 50.3 | 29.1 |
| 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 | 25 | 23 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Gemma 2B: 28.9 (#300)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Coding | 1511 | 1010 |
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
| HumanEval+ | — | 20.7% |
| MBPP+ | — | 34.1% |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Gemma 2B: 17.9 (#275)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Hard Prompts | 1485 | 989 |
| Epoch Capabilities Index | 155.01 | 93.57 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| BIG-Bench Hard | — | 35.2% |
| HellaSwag | — | 71.4% |
| PIQA | — | 77.3% |
| WinoGrande | — | 65.4% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Gemma 2B: 27.6 (#237)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Math | 1493 | 1009 |
| ProofBench | 54% | — |
| GSM8K | — | 17.7% |
Knowledge Not comparable
DeepSeek V4.1 Flash: 41.6 (#97), Gemma 2B: —
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Expert | 1505 | — |
| ARC (AI2) Challenge | — | 42.1% |
| BoolQ | — | 69.4% |
| MMLU | — | 42.3% |
| TriviaQA | — | 53.2% |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Gemma 2B: 23.1 (#289)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Non-English | 1452 | 958 |
| LMArena Chinese | 1506 | 986 |
| LMArena Russian | 1473 | 937 |
| LMArena French | 1448 | — |
| LMArena Spanish | 1499 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Gemma 2B: 48.8 (#297)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Instruction Following | 1475 | 971 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Gemma 2B: 29.9 (#286)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Longer Query | 1476 | 981 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Gemma 2B: 24.1 (#303)
| Benchmark | DeepSeek V4.1 Flash | Gemma 2B |
|---|---|---|
| LMArena Text | 1465 | 1002 |
| LMArena Creative Writing | 1436 | 986 |
| LMArena Multi-Turn | 1460 | 945 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemma 2B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 29.1 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemma 2B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 28.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemma 2B share?
12 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Gemma 2B has 23.