# GPT-4.1 vs Llama 3-70B

> GPT-4.1 is the stronger model overall, scoring 35.7 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-llama-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. GPT-4.1 scores higher in 7 categories and Llama 3-70B in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 leads 37.0 to 20.8.
- The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 22.6% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 | Llama 3-70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 35.7 | 28.5 |
| Rank | 215 | 317 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $8 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1: 34.2 (#228)
- Llama 3-70B: 35.3 (#215)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1391 | 1206 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- GPT-4.1: 34.4 (#40)
- Llama 3-70B: 20.9 (#132)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
| Cybench | — | 5% |

## Reasoning

- GPT-4.1: 11.7 (#334)
- Llama 3-70B: 17.4 (#284)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | 35.1% |
| LMArena Hard Prompts | 1384 | 1195 |
| DTBench | 68.3% | 54.2% |
| Epoch Capabilities Index | 136.79 | 122.91 |
| ForecastBench | 61.5 | 57.1 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| LMCA | 25.6% | — |
| WinoGrande | — | 83.5% |

## Math

- GPT-4.1: 21.4 (#269)
- Llama 3-70B: 12.0 (#299)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 38.3% | 4.3% |
| LMArena Math | 1369 | 1218 |
| MATH Level 5 | 83% | 22.6% |
| FrontierMath (Tiers 1-3) | 6% | — |
| Omni-MATH | 47.1% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.0 (#152)
- Llama 3-70B: 20.8 (#272)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 66.9% | 40.6% |
| LMArena Expert | 1364 | 1149 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
| MMLU | — | 79.3% |

## Multimodal

- GPT-4.1: 37.5 (#66)
- Llama 3-70B: —

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |

## Multilingual

- GPT-4.1: 49.6 (#128)
- Llama 3-70B: 33.8 (#246)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1370 | 1142 |
| LMArena Chinese | 1382 | 1114 |
| LMArena French | 1383 | 1231 |
| LMArena German | 1380 | 1169 |
| LMArena Japanese | 1320 | 1017 |
| LMArena Korean | 1339 | 1017 |
| LMArena Russian | 1377 | 1159 |
| LMArena Spanish | 1375 | 1241 |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- Llama 3-70B: 62.8 (#233)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1194 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#158)
- Llama 3-70B: 35.6 (#235)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1385 | 1174 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- Llama 3-70B: 43.0 (#225)

| Benchmark | GPT-4.1 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1383 | 1221 |
| LMArena Creative Writing | 1363 | 1210 |
| LMArena Multi-Turn | 1398 | 1223 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |

## FAQ

### Is GPT-4.1 better than Llama 3-70B?

GPT-4.1 is the stronger model overall, scoring 35.7 to 28.5 on the Noometry Index.

### Is GPT-4.1 or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.3 versus 34.2 in the Noometry coding category.

### How many benchmarks do GPT-4.1 and Llama 3-70B share?

24 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Llama 3-70B has 31.