Model comparison
Gemini 3.7 Flash vs Gemma 4 31B IT
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 9.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
GoogleSummary
- They share 28 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Gemma 4 31B IT in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 27.2.
- The biggest single-benchmark swing is SimpleQA Verified: 69.2% for Gemini 3.7 Flash and 10.4% for Gemma 4 31B IT.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 262K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | Gemma 4 31B IT | |
|---|---|---|
| Provider | ||
| Noometry Index | 59.8 | 43.5 |
| Released | 2026-08-13 | 2026-04-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.75 | $0.09 |
| Output $ / M tokens | $3.75 | $0.34 |
| Results tracked | 44 | 35 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Gemma 4 31B IT: 42.3 (#108)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| LMArena WebDev | 1592 | 1366 |
| SciCode | 59.8% | 43.4% |
| LMArena Coding | 1497 | 1459 |
| ALE-Bench | 904.3 | 925.5 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
| WeirdML | — | 52.3% |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), Gemma 4 31B IT: —
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Gemma 4 31B IT: 27.2 (#122)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| NYT Connections (extended) | 94% | 70.6% |
| CritPt | 14.3% | 1.4% |
| Chess Puzzles | 47% | 5% |
| LMArena Hard Prompts | 1494 | 1448 |
| DTBench | 96.8% | 82.7% |
| LMCA | 50.4% | 39.3% |
| Epoch Capabilities Index | 157.27 | 142.74 |
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 63.5% |
| ARC-AGI-1 | 95.5% | — |
| Thematic Generalization | — | 53% |
| Mystery Game Puzzles | 37% | — |
| Surface Evolver Bench | — | 30.6% |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), Gemma 4 31B IT: 43.2 (#81)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 73.3% |
| LMArena Math | 1507 | 1465 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), Gemma 4 31B IT: 37.9 (#151)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| GPQA Diamond | 94.8% | 75.8% |
| SimpleQA Verified | 69.2% | 10.4% |
| LMArena Expert | 1508 | 1465 |
| Vectara Hallucination Rate | — | 7.4% |
Multimodal Gemma 4 31B IT leads
Gemini 3.7 Flash: 37.3 (#73), Gemma 4 31B IT: 41.6 (#34)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| LMArena Vision | 1316 | 1277 |
| Furniture Assembly | 26.7% | — |
| LMArena Document | — | 1425 |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), Gemma 4 31B IT: 53.8 (#57)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| LMArena Non-English | 1484 | 1431 |
| LMArena Chinese | 1548 | 1476 |
| LMArena French | 1505 | 1435 |
| LMArena Russian | 1516 | 1460 |
| LMArena Spanish | 1503 | 1444 |
| LMArena German | 1498 | — |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), Gemma 4 31B IT: 75.5 (#61)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| LMArena Instruction Following | 1483 | 1433 |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.7 (#30), Gemma 4 31B IT: 44.2 (#71)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| LMArena Longer Query | 1492 | 1446 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), Gemma 4 31B IT: 60.5 (#96)
| Benchmark | Gemini 3.7 Flash | Gemma 4 31B IT |
|---|---|---|
| LMArena Text | 1486 | 1443 |
| LMArena Creative Writing | 1490 | 1415 |
| EQ-Bench Creative Writing | 1723 | 1368 |
| LMArena Multi-Turn | 1489 | 1452 |
| EQ-Bench 4 | — | 1120 |
Frequently asked questions
Is Gemini 3.7 Flash better than Gemma 4 31B IT?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 9.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.7 Flash or Gemma 4 31B IT?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 3.7 Flash or Gemma 4 31B IT better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 42.3 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.7 Flash and Gemma 4 31B IT share?
28 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Gemma 4 31B IT has 35.