# GPT-4.1 mini vs Llama 13b

> GPT-4.1 mini is the stronger model overall, scoring 33.6 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Llama 13b in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 36.7.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Llama 13b |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 33.6 | 24.4 |
| Rank | 240 | 348 |
| Context | 1.05M | — |
| Input $/M | $0.40 | — |
| Output $/M | $1.60 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.6 (#293)
- Llama 13b: 21.4 (#337)

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Coding | 1367 | 683 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.3 (#55)
- Llama 13b: —

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.8 (#340)
- Llama 13b: 14.0 (#329)

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1349 | 728 |
| Epoch Capabilities Index | 135.01 | 100.58 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- GPT-4.1 mini: 24.1 (#270)
- Llama 13b: 26.7 (#256)

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Math | 1343 | 838 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| GSM8K | — | 20.6% |

## Knowledge

- GPT-4.1 mini: 34.7 (#194)
- Llama 13b: —

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- GPT-4.1 mini: 35.8 (#82)
- Llama 13b: —

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Vision | 1181 | — |
| ScienceQA | — | 43.3% |

## Multilingual

- GPT-4.1 mini: 45.7 (#166)
- Llama 13b: 16.6 (#297)

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Non-English | 1318 | 819 |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.7 (#118)
- Llama 13b: 36.7 (#305)

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1333 | 781 |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#275)
- Llama 13b: —

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |

## Writing & Preference

- GPT-4.1 mini: 48.6 (#199)
- Llama 13b: 13.8 (#312)

| Benchmark | GPT-4.1 mini | Llama 13b |
|---|---|---|
| LMArena Text | 1340 | 834 |
| LMArena Creative Writing | 1300 | 794 |
| LMArena Multi-Turn | 1354 | 753 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |

## FAQ

### Is GPT-4.1 mini better than Llama 13b?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 24.4 on the Noometry Index.

### Is GPT-4.1 mini or Llama 13b better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.6 versus 21.4 in the Noometry coding category.

### How many benchmarks do GPT-4.1 mini and Llama 13b share?

9 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 13b has 21.