Model comparison
DeepSeek V4.1 Flash vs Gemma 1.1 2b IT
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 28.8 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 8 categories and Gemma 1.1 2b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.8 to 25.3.
Side by side
| DeepSeek V4.1 Flash | Gemma 1.1 2b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 50.3 | 28.8 |
| Released | 2026-09-09 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 25 | 16 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Gemma 1.1 2b IT: 29.6 (#294)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Coding | 1511 | 1034 |
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
| HumanEval+ | — | 17.7% |
| MBPP+ | — | 23.3% |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Gemma 1.1 2b IT: 18.2 (#268)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1005 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 155.01 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Gemma 1.1 2b IT: 28.3 (#230)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Math | 1493 | 1047 |
| ProofBench | 54% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 41.6 (#97), Gemma 1.1 2b IT: 26.0 (#255)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Expert | 1505 | 970 |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Gemma 1.1 2b IT: 24.7 (#284)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Non-English | 1452 | 988 |
| LMArena Chinese | 1506 | 1011 |
| LMArena Russian | 1473 | 990 |
| LMArena French | 1448 | — |
| LMArena German | — | 944 |
| LMArena Korean | — | 899 |
| LMArena Spanish | 1499 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Gemma 1.1 2b IT: 50.1 (#294)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Instruction Following | 1475 | 992 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Gemma 1.1 2b IT: 30.5 (#281)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Longer Query | 1476 | 1003 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Gemma 1.1 2b IT: 25.3 (#301)
| Benchmark | DeepSeek V4.1 Flash | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Text | 1465 | 1022 |
| LMArena Creative Writing | 1436 | 998 |
| LMArena Multi-Turn | 1460 | 958 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Gemma 1.1 2b IT?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 28.8 on the Noometry Index.
Is DeepSeek V4.1 Flash or Gemma 1.1 2b IT better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 29.6 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Gemma 1.1 2b IT share?
12 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Gemma 1.1 2b IT has 16.