# Claude Sonnet 4.5 vs Gemma 3n E4b IT

> Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 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 4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-5-vs-gemma-3n-e4b-it
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 7 categories and Gemma 3n E4b IT in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.7 to 50.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for Claude Sonnet 4.5 and 31.5% for Gemma 3n E4b IT.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- Claude Sonnet 4.5 accepts more context: 1M tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| Provider | Anthropic | Google |
| Noometry Index | 44.0 | 36.7 |
| Rank | 76 | 203 |
| Context | 1M | 33K |
| Input $/M | $3 | $0.06 |
| Output $/M | $15 | $0.12 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 4.5: 47.8 (#54)
- Gemma 3n E4b IT: 36.4 (#193)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Coding | 1489 | 1269 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- Claude Sonnet 4.5: 38.1 (#30)
- Gemma 3n E4b IT: —

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |

## Reasoning

- Claude Sonnet 4.5: 26.9 (#113)
- Gemma 3n E4b IT: 19.2 (#239)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 31.5% |
| LMArena Hard Prompts | 1462 | 1284 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |

## Math

- Claude Sonnet 4.5: 31.9 (#190)
- Gemma 3n E4b IT: 32.5 (#186)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | 1448 | 1251 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Sonnet 4.5: 48.4 (#70)
- Gemma 3n E4b IT: 33.6 (#193)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | 1483 | 1245 |
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |

## Multimodal

- Claude Sonnet 4.5: 34.1 (#84)
- Gemma 3n E4b IT: —

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |

## Multilingual

- Claude Sonnet 4.5: 53.6 (#65)
- Gemma 3n E4b IT: 43.5 (#179)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | 1425 | 1285 |
| LMArena Chinese | 1459 | 1310 |
| LMArena French | 1459 | 1330 |
| LMArena German | 1427 | 1312 |
| LMArena Japanese | 1390 | 1274 |
| LMArena Korean | 1403 | 1259 |
| LMArena Russian | 1436 | 1288 |
| LMArena Spanish | 1457 | 1305 |

## Instruction Following

- Claude Sonnet 4.5: 75.2 (#74)
- Gemma 3n E4b IT: 66.3 (#205)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | 1459 | 1255 |
| IFEval | 85% | — |

## Long Context

- Claude Sonnet 4.5: 45.2 (#45)
- Gemma 3n E4b IT: 38.8 (#185)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | 1476 | 1277 |

## Writing & Preference

- Claude Sonnet 4.5: 66.7 (#33)
- Gemma 3n E4b IT: 50.3 (#181)

| Benchmark | Claude Sonnet 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | 1439 | 1306 |
| LMArena Creative Writing | 1442 | 1287 |
| LMArena Multi-Turn | 1465 | 1276 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |

## FAQ

### Is Claude Sonnet 4.5 better than Gemma 3n E4b IT?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 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 4.5's lead doesn't matter for your workload.

### Which is cheaper, Claude Sonnet 4.5 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 4.5 lists at $3 and $15.

### Is Claude Sonnet 4.5 or Gemma 3n E4b IT better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.8 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 4.5 does, with 1M tokens against 33K.

### How many benchmarks do Claude Sonnet 4.5 and Gemma 3n E4b IT share?

18 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Gemma 3n E4b IT has 18.