Model comparison
DeepSeek-V3.1 vs Gemma 4 26B A4B IT
DeepSeek-V3.1 and Gemma 4 26B A4B IT score almost the same on the Noometry Index (42.8 vs 43.5), so choose on price, context window or the category you care about most.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 3 categories and Gemma 4 26B A4B IT in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 26B A4B IT leads 47.6 to 38.9.
- The biggest single-benchmark swing is DTBench: 82.7% for DeepSeek-V3.1 and 74.9% for Gemma 4 26B A4B IT.
- Gemma 4 26B A4B IT is cheaper at $0.09 / $0.30 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- Gemma 4 26B A4B IT accepts more context: 262K tokens versus 164K.
Side by side
| DeepSeek-V3.1 | Gemma 4 26B A4B IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 42.8 | 43.5 |
| Released | 2025-08-21 | 2026-04-02 |
| Weights | Open | Open |
| Context window | 164K | 262K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.25 | $0.09 |
| Output $ / M tokens | $0.95 | $0.30 |
| Results tracked | 27 | 28 |
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Category by category
Coding DeepSeek-V3.1 leads
DeepSeek-V3.1: 40.3 (#144), Gemma 4 26B A4B IT: 39.0 (#164)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| WeirdML | 38.4% | 35.2% |
| LMArena Coding | 1417 | 1447 |
| LMArena WebDev | — | 1359 |
| SciCode | — | 40% |
| ALE-Bench | — | 927.17 |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.9 (#110), Gemma 4 26B A4B IT: 21.8 (#213)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1439 |
| DTBench | 82.7% | 74.9% |
| LMCA | 24.3% | 29.7% |
| Epoch Capabilities Index | 139.92 | 141.85 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 6% |
| ForecastBench | 58 | — |
Math Gemma 4 26B A4B IT leads
DeepSeek-V3.1: 38.9 (#122), Gemma 4 26B A4B IT: 47.6 (#67)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Math | 1420 | 1470 |
| OTIS Mock AIME 2024-2025 | — | 82.2% |
Knowledge Gemma 4 26B A4B IT leads
DeepSeek-V3.1: 43.7 (#90), Gemma 4 26B A4B IT: 45.7 (#85)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 5.2% |
| LMArena Expert | 1405 | 1447 |
| GPQA Diamond | — | 73.2% |
Multimodal Not comparable
DeepSeek-V3.1: —, Gemma 4 26B A4B IT: 40.6 (#46)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Vision | — | 1260 |
Multilingual Gemma 4 26B A4B IT leads
DeepSeek-V3.1: 51.6 (#106), Gemma 4 26B A4B IT: 53.1 (#71)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Non-English | 1400 | 1421 |
| LMArena Chinese | 1469 | 1495 |
| LMArena French | 1447 | 1460 |
| LMArena Russian | 1405 | 1434 |
| LMArena Spanish | 1431 | 1417 |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
Instruction Following Too close to call
DeepSeek-V3.1: 73.9 (#110), Gemma 4 26B A4B IT: 74.8 (#82)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Instruction Following | 1400 | 1420 |
Long Context Gemma 4 26B A4B IT leads
DeepSeek-V3.1: 36.3 (#232), Gemma 4 26B A4B IT: 43.6 (#91)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Longer Query | 1422 | 1428 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.3 (#98), Gemma 4 26B A4B IT: 58.6 (#115)
| Benchmark | DeepSeek-V3.1 | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Text | 1420 | 1434 |
| LMArena Creative Writing | 1401 | 1402 |
| EQ-Bench Creative Writing | 1436 | 1305 |
| LMArena Multi-Turn | 1408 | 1441 |
Frequently asked questions
Is DeepSeek-V3.1 better than Gemma 4 26B A4B IT?
DeepSeek-V3.1 and Gemma 4 26B A4B IT score almost the same on the Noometry Index (42.8 vs 43.5), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.1 or Gemma 4 26B A4B IT?
Gemma 4 26B A4B IT is cheaper. It lists at $0.09 per million input tokens and $0.30 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.
Is DeepSeek-V3.1 or Gemma 4 26B A4B IT better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 39.0 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 26B A4B IT does, with 262K tokens against 164K.
How many benchmarks do DeepSeek-V3.1 and Gemma 4 26B A4B IT share?
20 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemma 4 26B A4B IT has 28.