# GPT-6 Sol vs Llama 3.2 3B

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.4 on the Noometry Index. Llama 3.2 3B costs 33× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-llama-3-2-3b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Llama 3.2 3B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 24.9.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 131K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.2 | 28.4 |
| Rank | 46 | 318 |
| Context | 1.05M | 131K |
| Input $/M | $2 | $0.05 |
| Output $/M | $10 | $0.33 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Llama 3.2 3B: 27.1 (#314)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1453 | 1098 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Llama 3.2 3B: 19.9 (#135)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Llama 3.2 3B: 20.1 (#225)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1095 |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |

## Math

- GPT-6 Sol: 35.8 (#135)
- Llama 3.2 3B: 29.9 (#213)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1404 | 1126 |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Llama 3.2 3B: 29.1 (#232)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1449 | 1090 |
| Vectara Hallucination Rate | 6.5% | — |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Llama 3.2 3B: —

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| Furniture Assembly | 58.3% | — |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Llama 3.2 3B: 26.4 (#276)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1389 | 1019 |
| LMArena Chinese | 1416 | 1017 |
| LMArena Russian | 1407 | 949 |
| LMArena German | — | 1056 |
| LMArena Spanish | 1377 | — |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Llama 3.2 3B: 56.3 (#270)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1089 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Llama 3.2 3B: 33.4 (#256)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1415 | 1101 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Llama 3.2 3B: 24.9 (#302)

| Benchmark | GPT-6 Sol | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1396 | 1110 |
| LMArena Creative Writing | 1392 | 1094 |
| EQ-Bench Creative Writing | 2125 | 595 |
| LMArena Multi-Turn | 1405 | 1105 |

## FAQ

### Is GPT-6 Sol better than Llama 3.2 3B?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.4 on the Noometry Index. Llama 3.2 3B costs 33× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

### Which is cheaper, GPT-6 Sol or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GPT-6 Sol or Llama 3.2 3B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 27.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 131K.

### How many benchmarks do GPT-6 Sol and Llama 3.2 3B share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Llama 3.2 3B has 18.