# GPT-4 vs Llama 3.2 3B

> GPT-4 and Llama 3.2 3B score almost the same on the Noometry Index (28.9 vs 28.4), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-4-vs-llama-3-2-3b
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GPT-4 scores higher in 5 categories and Llama 3.2 3B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 3.2 3B leads 29.9 to 10.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 57.2% for GPT-4 and 28.3% for Llama 3.2 3B.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $30 / $60 for GPT-4.
- Llama 3.2 3B accepts more context: 131K tokens versus 8K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Llama 3.2 3B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 28.9 | 28.4 |
| Rank | 308 | 318 |
| Context | 8K | 131K |
| Input $/M | $30 | $0.05 |
| Output $/M | $60 | $0.33 |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.2 (#277)
- Llama 3.2 3B: 27.1 (#314)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| BigCodeBench Instruct | 46% | 23.4% |
| LMArena Coding | 1254 | 1098 |
| BigCodeBench Complete | 57.2% | 28.3% |
| WeirdML | 12.4% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Llama 3.2 3B: 19.9 (#135)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.3 (#285)
- Llama 3.2 3B: 20.1 (#225)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1095 |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.88 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.1 (#304)
- Llama 3.2 3B: 29.9 (#213)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1269 | 1126 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#277)
- Llama 3.2 3B: 29.1 (#232)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1211 | 1090 |
| GPQA Diamond | 35.7% | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multilingual

- GPT-4: 40.8 (#210)
- Llama 3.2 3B: 26.4 (#276)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1246 | 1019 |
| LMArena Chinese | 1242 | 1017 |
| LMArena German | 1251 | 1056 |
| LMArena Russian | 1251 | 949 |
| LMArena French | 1282 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Spanish | 1261 | — |

## Instruction Following

- GPT-4: 65.5 (#217)
- Llama 3.2 3B: 56.3 (#270)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1241 | 1089 |

## Long Context

- GPT-4: 37.7 (#207)
- Llama 3.2 3B: 33.4 (#256)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1244 | 1101 |

## Writing & Preference

- GPT-4: 35.0 (#263)
- Llama 3.2 3B: 24.9 (#302)

| Benchmark | GPT-4 | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1263 | 1110 |
| LMArena Creative Writing | 1244 | 1094 |
| EQ-Bench Creative Writing | 752 | 595 |
| LMArena Multi-Turn | 1257 | 1105 |

## FAQ

### Is GPT-4 better than Llama 3.2 3B?

GPT-4 and Llama 3.2 3B score almost the same on the Noometry Index (28.9 vs 28.4), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-4 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-4 lists at $30 and $60.

### Is GPT-4 or Llama 3.2 3B better for coding?

GPT-4 scores higher on coding benchmarks: 31.2 versus 27.1 in the Noometry coding category.

### Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 8K.

### How many benchmarks do GPT-4 and Llama 3.2 3B share?

16 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Llama 3.2 3B has 18.