# Claude 3.5 Sonnet vs Llama 3.2 1B

> Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 20.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-sonnet-vs-llama-3-2-1b
- Last updated: 2026-10-12
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Claude 3.5 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 3.5 Sonnet leads 52.9 to 21.3.
- The biggest single-benchmark swing is BigCodeBench Complete: 58.6% for Claude 3.5 Sonnet and 11.3% for Llama 3.2 1B.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 34.6 | 20.1 |
| Rank | 231 | 354 |
| Context | — | 60K |
| Input $/M | — | $0.027 |
| Output $/M | — | $0.20 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.5 Sonnet: 39.0 (#165)
- Llama 3.2 1B: 21.1 (#338)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| BigCodeBench Instruct | 46.8% | 8.2% |
| LMArena Coding | 1342 | 1070 |
| BigCodeBench Complete | 58.6% | 11.3% |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| LiveBench Coding | 67.1% | — |
| CadEval | 48% | — |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |

## Agentic & Tool Use

- Claude 3.5 Sonnet: 32.3 (#67)
- Llama 3.2 1B: 14.6 (#150)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| BALROG | 32.6% | 6.6% |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| METR Time Horizons | 45.2% | — |

## Reasoning

- Claude 3.5 Sonnet: 23.1 (#183)
- Llama 3.2 1B: 16.2 (#308)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1044 |
| Epoch Capabilities Index | 133.55 | 101.99 |
| SimpleBench | 41.4% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| DTBench | 67.8% | — |
| LiveBench Data Analysis | 55% | — |
| ForecastBench | 60.7 | — |
| LiveBench | 59% | — |

## Math

- Claude 3.5 Sonnet: 19.2 (#288)
- Llama 3.2 1B: 10.4 (#313)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 0.6% |
| LMArena Math | 1307 | 1086 |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| MATH Level 5 | 56.9% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Claude 3.5 Sonnet: 28.6 (#245)
- Llama 3.2 1B: 7.2 (#312)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 55.3% | 23.9% |
| LMArena Expert | 1265 | 1007 |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
| MMLU | 87.3% | — |

## Multimodal

- Claude 3.5 Sonnet: 26.5 (#120)
- Llama 3.2 1B: —

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |

## Multilingual

- Claude 3.5 Sonnet: 43.2 (#185)
- Llama 3.2 1B: 23.8 (#292)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1283 | 973 |
| LMArena Chinese | 1272 | 959 |
| LMArena German | 1297 | 1014 |
| LMArena Russian | 1306 | 941 |
| LMArena French | 1305 | — |
| LMArena Japanese | 1234 | — |
| LMArena Korean | 1200 | — |
| LMArena Spanish | 1290 | — |

## Instruction Following

- Claude 3.5 Sonnet: 68.8 (#182)
- Llama 3.2 1B: 52.4 (#290)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1031 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |

## Long Context

- Claude 3.5 Sonnet: 39.9 (#167)
- Llama 3.2 1B: 31.9 (#274)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1311 | 1050 |

## Writing & Preference

- Claude 3.5 Sonnet: 52.9 (#164)
- Llama 3.2 1B: 21.3 (#310)

| Benchmark | Claude 3.5 Sonnet | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1298 | 1055 |
| LMArena Creative Writing | 1292 | 1033 |
| EQ-Bench Creative Writing | 1451 | 200 |
| LMArena Multi-Turn | 1326 | 1030 |
| Short-Story Creative Writing | 80.3% | — |
| WildBench | 79.2% | — |
| LiveBench Language | 53.8% | — |

## FAQ

### Is Claude 3.5 Sonnet better than Llama 3.2 1B?

Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 20.1 on the Noometry Index.

### Is Claude 3.5 Sonnet or Llama 3.2 1B better for coding?

Claude 3.5 Sonnet scores higher on coding benchmarks: 39.0 versus 21.1 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Sonnet and Llama 3.2 1B share?

20 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Llama 3.2 1B has 22.