# Claude 3.7 Sonnet vs Llama 3.2 1B

> Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 20.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-llama-3-2-1b
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.7 Sonnet leads 54.4 to 21.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 0.6% for Llama 3.2 1B.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 20.1 |
| Rank | 164 | 354 |
| Context | — | 60K |
| Input $/M | — | $0.027 |
| Output $/M | — | $0.20 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.7 Sonnet: 40.6 (#136)
- Llama 3.2 1B: 21.1 (#338)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1361 | 1070 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 8.2% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 11.3% |
| CadEval | 54% | — |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 34.1 (#50)
- Llama 3.2 1B: 14.6 (#150)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| BALROG | — | 6.6% |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.6 (#277)
- Llama 3.2 1B: 16.2 (#308)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1044 |
| Epoch Capabilities Index | 141.16 | 101.99 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |

## Math

- Claude 3.7 Sonnet: 37.5 (#153)
- Llama 3.2 1B: 10.4 (#313)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 0.6% |
| LMArena Math | 1337 | 1086 |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.8 (#130)
- Llama 3.2 1B: 7.2 (#312)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 79.7% | 23.9% |
| LMArena Expert | 1321 | 1007 |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |

## Multimodal

- Claude 3.7 Sonnet: 33.7 (#95)
- Llama 3.2 1B: —

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.1 (#179)
- Llama 3.2 1B: 23.8 (#292)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1296 | 973 |
| LMArena Chinese | 1299 | 959 |
| LMArena German | 1301 | 1014 |
| LMArena Russian | 1311 | 941 |
| LMArena French | 1303 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Spanish | 1298 | — |

## Instruction Following

- Claude 3.7 Sonnet: 72.9 (#125)
- Llama 3.2 1B: 52.4 (#290)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1031 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |

## Long Context

- Claude 3.7 Sonnet: 50.3 (#10)
- Llama 3.2 1B: 31.9 (#274)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1373 | 1050 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.4 (#150)
- Llama 3.2 1B: 21.3 (#310)

| Benchmark | Claude 3.7 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1314 | 1055 |
| LMArena Creative Writing | 1332 | 1033 |
| EQ-Bench Creative Writing | 1412 | 200 |
| LMArena Multi-Turn | 1339 | 1030 |
| Short-Story Creative Writing | 81.1% | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |

## FAQ

### Is Claude 3.7 Sonnet better than Llama 3.2 1B?

Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 20.1 on the Noometry Index.

### Is Claude 3.7 Sonnet or Llama 3.2 1B better for coding?

Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 21.1 in the Noometry coding category.

### How many benchmarks do Claude 3.7 Sonnet and Llama 3.2 1B share?

17 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 3.2 1B has 22.