# GPT-4o mini vs Llama 2-13B

> Llama 2-13B is the stronger model overall, scoring 29.1 to 25.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4o-mini-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. GPT-4o mini scores higher in 4 categories and Llama 2-13B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-13B leads 28.7 to 9.9.
- The biggest single-benchmark swing is DTBench: 54.4% for GPT-4o mini and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4o mini | Llama 2-13B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 25.4 | 29.1 |
| Rank | 337 | 304 |
| Context | 128K | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4o mini: 21.6 (#330)
- Llama 2-13B: 30.4 (#287)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1290 | 1062 |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o mini: 27.2 (#95)
- Llama 2-13B: —

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| BALROG | 17.4% | — |

## Reasoning

- GPT-4o mini: 8.7 (#343)
- Llama 2-13B: 12.3 (#333)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1267 | 1051 |
| DTBench | 54.4% | 42.2% |
| Epoch Capabilities Index | 126.56 | 105.8 |
| PIQA | 88.7% | 80.8% |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| LiveBench | 41.3% | — |
| WinoGrande | — | 72.8% |

## Math

- GPT-4o mini: 9.9 (#307)
- Llama 2-13B: 28.7 (#226)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Math | 1267 | 1065 |
| GSM8K | 91.3% | 36.9% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |

## Knowledge

- GPT-4o mini: 17.7 (#279)
- Llama 2-13B: 27.5 (#244)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1235 | 1030 |
| BoolQ | 88.7% | 82.4% |
| MMLU | 81.8% | 55.6% |
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| ARC (AI2) Challenge | — | 60.3% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- GPT-4o mini: 25.3 (#117)
- Llama 2-13B: —

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
| ScienceQA | — | 55.8% |

## Multilingual

- GPT-4o mini: 42.2 (#194)
- Llama 2-13B: 26.7 (#274)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1266 | 1024 |
| LMArena Chinese | 1264 | 1001 |
| LMArena French | 1296 | 1043 |
| LMArena German | 1272 | 1009 |
| LMArena Japanese | 1216 | 894 |
| LMArena Korean | 1195 | 953 |
| LMArena Russian | 1275 | 1055 |
| LMArena Spanish | 1276 | 1086 |

## Instruction Following

- GPT-4o mini: 62.1 (#234)
- Llama 2-13B: 53.5 (#282)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1259 | 1046 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |

## Long Context

- GPT-4o mini: 39.1 (#181)
- Llama 2-13B: 32.3 (#264)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1289 | 1064 |

## Writing & Preference

- GPT-4o mini: 39.7 (#243)
- Llama 2-13B: 30.0 (#284)

| Benchmark | GPT-4o mini | Llama 2-13B |
|---|---|---|
| LMArena Text | 1286 | 1085 |
| LMArena Creative Writing | 1268 | 1047 |
| LMArena Multi-Turn | 1285 | 1050 |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |

## FAQ

### Is GPT-4o mini better than Llama 2-13B?

Llama 2-13B is the stronger model overall, scoring 29.1 to 25.4 on the Noometry Index.

### Is GPT-4o mini or Llama 2-13B better for coding?

Llama 2-13B scores higher on coding benchmarks: 30.4 versus 21.6 in the Noometry coding category.

### How many benchmarks do GPT-4o mini and Llama 2-13B share?

24 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Llama 2-13B has 32.