Model comparison
Gemini 3.5 Flash vs Gemma 3 4B
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 28.1 on the Noometry Index. Gemma 3 4B costs 68× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 9 categories and Gemma 3 4B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.5 Flash leads 66.3 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.5 Flash and 7.5% for Gemma 3 4B.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.5 Flash | Gemma 3 4B | |
|---|---|---|
| Provider | ||
| Noometry Index | 54.2 | 28.1 |
| Released | 2026-05-19 | 2025-03-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 4K |
| Input $ / M tokens | $1.50 | $0.04 |
| Output $ / M tokens | $9 | $0.08 |
| Results tracked | 54 | 22 |
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Category by category
Coding Gemini 3.5 Flash leads
Gemini 3.5 Flash: 49.4 (#49), Gemma 3 4B: 35.9 (#215)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1492 | 1230 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Gemini 3.5 Flash leads
Gemini 3.5 Flash: 24.7 (#114), Gemma 3 4B: 20.9 (#142)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| APEX-Agents | 27.5% | — |
| Berkeley Function Calling Leaderboard | — | 19.6% |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |
Reasoning Gemini 3.5 Flash leads
Gemini 3.5 Flash: 62.8 (#18), Gemma 3 4B: 13.2 (#335)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| Chess Puzzles | 50% | 0% |
| LMArena Hard Prompts | 1488 | 1253 |
| DTBench | 94.7% | 50.9% |
| LMCA | 47.1% | 2.8% |
| Epoch Capabilities Index | 154.46 | 116.02 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 25.2% |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| Surface Evolver Bench | 58.1% | — |
| ForecastBench | 59 | — |
Math Gemini 3.5 Flash leads
Gemini 3.5 Flash: 60.7 (#36), Gemma 3 4B: 16.8 (#292)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 7.5% |
| LMArena Math | 1504 | 1239 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Gemini 3.5 Flash leads
Gemini 3.5 Flash: 66.3 (#11), Gemma 3 4B: 11.8 (#299)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| GPQA Diamond | 92.8% | 23.2% |
| LMArena Expert | 1495 | 1223 |
| SimpleQA Verified | 66.2% | — |
| Vectara Hallucination Rate | — | 6.4% |
Multimodal Not comparable
Gemini 3.5 Flash: 45.7 (#15), Gemma 3 4B: —
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
Multilingual Gemini 3.5 Flash leads
Gemini 3.5 Flash: 57.0 (#13), Gemma 3 4B: 42.5 (#194)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1476 | 1273 |
| LMArena German | 1492 | 1281 |
| LMArena Russian | 1493 | 1294 |
| LMArena Chinese | 1526 | — |
| LMArena French | 1490 | — |
| LMArena Japanese | 1486 | — |
| LMArena Korean | 1451 | — |
| LMArena Spanish | 1480 | — |
Instruction Following Gemini 3.5 Flash leads
Gemini 3.5 Flash: 77.0 (#30), Gemma 3 4B: 65.2 (#225)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1467 | 1239 |
Long Context Gemini 3.5 Flash leads
Gemini 3.5 Flash: 45.4 (#38), Gemma 3 4B: 38.7 (#194)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1482 | 1273 |
Writing & Preference Gemini 3.5 Flash leads
Gemini 3.5 Flash: 65.5 (#47), Gemma 3 4B: 42.0 (#239)
| Benchmark | Gemini 3.5 Flash | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1482 | 1291 |
| LMArena Creative Writing | 1470 | 1271 |
| LMArena Multi-Turn | 1481 | 1255 |
| EQ-Bench Creative Writing | — | 1068 |
| EQ-Bench 4 | 1087 | — |
Frequently asked questions
Is Gemini 3.5 Flash better than Gemma 3 4B?
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 28.1 on the Noometry Index. Gemma 3 4B costs 68× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.5 Flash or Gemma 3 4B?
Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.
Is Gemini 3.5 Flash or Gemma 3 4B better for coding?
Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 3.5 Flash and Gemma 3 4B share?
18 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Gemma 3 4B has 22.