Model comparison
Claude Sonnet 4.6 vs Gemma 3 4B
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 27.9 on the Noometry Index. Gemma 3 4B costs 120× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
GoogleSummary
- They share 20 benchmarks with published results for both. Claude Sonnet 4.6 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 Claude Sonnet 4.6 leads 51.6 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 85.8% for Claude Sonnet 4.6 and 7.5% for Gemma 3 4B.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Gemma 3 4B | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 50.1 | 27.9 |
| Released | 2026-02-17 | 2025-03-12 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 4K |
| Input $ / M tokens | $3 | $0.04 |
| Output $ / M tokens | $15 | $0.08 |
| Results tracked | 57 | 22 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), Gemma 3 4B: 35.3 (#214)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1504 | 1230 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#26), Gemma 3 4B: 20.7 (#134)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| Berkeley Function Calling Leaderboard | — | 19.6% |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#40), Gemma 3 4B: 12.7 (#330)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| Chess Puzzles | 13% | 0% |
| LMArena Hard Prompts | 1485 | 1253 |
| DTBench | 89.9% | 50.9% |
| LMCA | 46.5% | 2.8% |
| Epoch Capabilities Index | 152.25 | 116.02 |
| ARC-AGI-2 | 60.4% | — |
| Kagi LLM Benchmark | — | 25.2% |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.9 (#41), Gemma 3 4B: 15.8 (#286)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 7.5% |
| LMArena Math | 1463 | 1239 |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.6 (#60), Gemma 3 4B: 11.8 (#294)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| GPQA Diamond | 87.4% | 23.2% |
| Vectara Hallucination Rate | 10.6% | 6.4% |
| LMArena Expert | 1500 | 1223 |
| SimpleQA Verified | 35.5% | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), Gemma 3 4B: —
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.6 (#39), Gemma 3 4B: 42.7 (#189)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1440 | 1273 |
| LMArena German | 1428 | 1281 |
| LMArena Russian | 1440 | 1294 |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena Japanese | 1419 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1465 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.6 (#23), Gemma 3 4B: 65.4 (#219)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1476 | 1239 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#40), Gemma 3 4B: 38.6 (#189)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1479 | 1274 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.4 (#22), Gemma 3 4B: 42.2 (#234)
| Benchmark | Claude Sonnet 4.6 | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1458 | 1291 |
| LMArena Creative Writing | 1435 | 1270 |
| EQ-Bench Creative Writing | 1810 | 1068 |
| LMArena Multi-Turn | 1464 | 1255 |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Gemma 3 4B?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 27.9 on the Noometry Index. Gemma 3 4B costs 120× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.6 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; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Gemma 3 4B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 35.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 131K.
How many benchmarks do Claude Sonnet 4.6 and Gemma 3 4B share?
20 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Gemma 3 4B has 22.