# GPT-5.4 mini vs Llama 2-13B

> GPT-5.4 mini is the stronger model overall, scoring 44.8 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-4-mini-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.4 mini leads 64.2 to 30.0.
- The biggest single-benchmark swing is DTBench: 80% for GPT-5.4 mini and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 44.8 | 29.1 |
| Rank | 69 | 304 |
| Context | 400K | — |
| Input $/M | $0.75 | — |
| Output $/M | $4.50 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.4 mini: 45.0 (#67)
- Llama 2-13B: 30.4 (#287)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1438 | 1062 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |

## Agentic & Tool Use

- GPT-5.4 mini: 29.6 (#74)
- Llama 2-13B: —

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| DeepResearch Bench | 36.3% | — |

## Reasoning

- GPT-5.4 mini: 30.3 (#77)
- Llama 2-13B: 12.3 (#333)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 24% | 0% |
| LMArena Hard Prompts | 1424 | 1051 |
| DTBench | 80% | 42.2% |
| Epoch Capabilities Index | 148.83 | 105.8 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| LMCA | 40.8% | — |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 57 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- GPT-5.4 mini: 45.4 (#63)
- Llama 2-13B: 28.7 (#226)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Math | 1418 | 1065 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 36.9% |

## Knowledge

- GPT-5.4 mini: 51.4 (#62)
- Llama 2-13B: 27.5 (#244)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1434 | 1030 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- GPT-5.4 mini: 39.0 (#51)
- Llama 2-13B: —

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1245 | — |
| ScienceQA | — | 55.8% |

## Multilingual

- GPT-5.4 mini: 52.1 (#94)
- Llama 2-13B: 26.7 (#274)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1405 | 1024 |
| LMArena Chinese | 1446 | 1001 |
| LMArena French | 1440 | 1043 |
| LMArena German | 1407 | 1009 |
| LMArena Japanese | 1375 | 894 |
| LMArena Korean | 1369 | 953 |
| LMArena Russian | 1417 | 1055 |
| LMArena Spanish | 1403 | 1086 |

## Instruction Following

- GPT-5.4 mini: 74.3 (#99)
- Llama 2-13B: 53.5 (#282)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1046 |

## Long Context

- GPT-5.4 mini: 42.9 (#107)
- Llama 2-13B: 32.3 (#264)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1407 | 1064 |

## Writing & Preference

- GPT-5.4 mini: 64.2 (#56)
- Llama 2-13B: 30.0 (#284)

| Benchmark | GPT-5.4 mini | Llama 2-13B |
|---|---|---|
| LMArena Text | 1411 | 1085 |
| LMArena Creative Writing | 1370 | 1047 |
| LMArena Multi-Turn | 1429 | 1050 |
| EQ-Bench Creative Writing | 1665 | — |

## FAQ

### Is GPT-5.4 mini better than Llama 2-13B?

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 29.1 on the Noometry Index.

### Is GPT-5.4 mini or Llama 2-13B better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 30.4 in the Noometry coding category.

### How many benchmarks do GPT-5.4 mini and Llama 2-13B share?

20 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Llama 2-13B has 32.