# GPT-5 Nano vs Llama 3.2 90B

> GPT-5 Nano is the stronger model overall, scoring 33.5 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-nano-vs-llama-3-2-90b
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. GPT-5 Nano scores higher in 3 categories and Llama 3.2 90B in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Nano leads 29.4 to 11.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 81.1% for GPT-5 Nano and 2.6% for Llama 3.2 90B.
- Llama 3.2 90B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 33.5 | 27.5 |
| Rank | 241 | 331 |
| Context | 400K | — |
| Input $/M | $0.05 | — |
| Output $/M | $0.40 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Nano: 33.6 (#254)
- Llama 3.2 90B: —

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| SWE-bench Verified (bash only) | 34.8% | — |
| WeirdML | 38.1% | — |
| LMArena Coding | 1351 | — |
| ALE-Bench | 718.67 | — |

## Agentic & Tool Use

- GPT-5 Nano: 25.8 (#106)
- Llama 3.2 90B: 30.0 (#80)

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
| BALROG | — | 27.3% |

## Reasoning

- GPT-5 Nano: 16.3 (#306)
- Llama 3.2 90B: 21.7 (#217)

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 139.38 | 125.5 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1328 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| ForecastBench | 59.1 | — |

## Math

- GPT-5 Nano: 29.4 (#241)
- Llama 3.2 90B: 11.1 (#308)

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 81.1% | 2.6% |
| MATH Level 5 | 95.2% | 39.4% |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| LMArena Math | 1317 | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5 Nano: 35.9 (#178)
- Llama 3.2 90B: 21.7 (#274)

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 69.4% | 41% |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
| LMArena Expert | 1321 | — |
| MMLU | — | 80.3% |

## Multimodal

- GPT-5 Nano: 31.3 (#108)
- Llama 3.2 90B: 25.4 (#124)

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | 1159 | 1000 |
| GeoBench | — | 52% |
| VPCT | 37.2% | — |

## Multilingual

- GPT-5 Nano: 45.3 (#172)
- Llama 3.2 90B: —

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1356 | — |
| LMArena German | 1327 | — |
| LMArena Japanese | 1226 | — |
| LMArena Korean | 1269 | — |
| LMArena Russian | 1296 | — |
| LMArena Spanish | 1360 | — |

## Instruction Following

- GPT-5 Nano: 75.0 (#79)
- Llama 3.2 90B: —

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| IFEval | 93.2% | — |
| LMArena Instruction Following | 1306 | — |

## Long Context

- GPT-5 Nano: 31.3 (#281)
- Llama 3.2 90B: —

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1312 | — |

## Writing & Preference

- GPT-5 Nano: 39.1 (#249)
- Llama 3.2 90B: —

| Benchmark | GPT-5 Nano | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1320 | — |
| LMArena Creative Writing | 1249 | — |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
| LMArena Multi-Turn | 1311 | — |

## FAQ

### Is GPT-5 Nano better than Llama 3.2 90B?

GPT-5 Nano is the stronger model overall, scoring 33.5 to 27.5 on the Noometry Index.

### How many benchmarks do GPT-5 Nano and Llama 3.2 90B share?

5 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Llama 3.2 90B has 9.