# Claude Sonnet 4.6 vs Gemma 3n E4b IT

> Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 80× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-6-vs-gemma-3n-e4b-it
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Gemma 3n E4b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 19.2.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| Provider | Anthropic | Google |
| Noometry Index | 50.1 | 36.7 |
| Rank | 42 | 203 |
| Context | 1M | 33K |
| Input $/M | $3 | $0.06 |
| Output $/M | $15 | $0.12 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 4.6: 46.0 (#62)
- Gemma 3n E4b IT: 36.4 (#193)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Coding | 1504 | 1269 |
| 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: 39.1 (#26)
- Gemma 3n E4b IT: —

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| 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: 46.1 (#40)
- Gemma 3n E4b IT: 19.2 (#239)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1284 |
| ARC-AGI-2 | 60.4% | — |
| Kagi LLM Benchmark | — | 31.5% |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.25 | — |
| ForecastBench | 62 | — |

## Math

- Claude Sonnet 4.6: 51.9 (#41)
- Gemma 3n E4b IT: 32.5 (#186)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | 1463 | 1251 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |

## Knowledge

- Claude Sonnet 4.6: 51.6 (#60)
- Gemma 3n E4b IT: 33.6 (#193)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | 1500 | 1245 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |

## Multimodal

- Claude Sonnet 4.6: 38.0 (#61)
- Gemma 3n E4b IT: —

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |

## Multilingual

- Claude Sonnet 4.6: 54.6 (#39)
- Gemma 3n E4b IT: 43.5 (#179)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | 1440 | 1285 |
| LMArena Chinese | 1491 | 1310 |
| LMArena French | 1465 | 1330 |
| LMArena German | 1428 | 1312 |
| LMArena Japanese | 1419 | 1274 |
| LMArena Korean | 1411 | 1259 |
| LMArena Russian | 1440 | 1288 |
| LMArena Spanish | 1465 | 1305 |

## Instruction Following

- Claude Sonnet 4.6: 77.6 (#23)
- Gemma 3n E4b IT: 66.3 (#205)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | 1476 | 1255 |

## Long Context

- Claude Sonnet 4.6: 45.3 (#40)
- Gemma 3n E4b IT: 38.8 (#185)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | 1479 | 1277 |

## Writing & Preference

- Claude Sonnet 4.6: 70.4 (#22)
- Gemma 3n E4b IT: 50.3 (#181)

| Benchmark | Claude Sonnet 4.6 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | 1458 | 1306 |
| LMArena Creative Writing | 1435 | 1287 |
| LMArena Multi-Turn | 1464 | 1276 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |

## FAQ

### Is Claude Sonnet 4.6 better than Gemma 3n E4b IT?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 80× 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 3n E4b IT?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

### Is Claude Sonnet 4.6 or Gemma 3n E4b IT better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 33K.

### How many benchmarks do Claude Sonnet 4.6 and Gemma 3n E4b IT share?

17 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Gemma 3n E4b IT has 18.