# Grok 4.6 vs Llama 3.2 90B

> Grok 4.6 is the stronger model overall, scoring 56.9 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-6-vs-llama-3-2-90b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Grok 4.6 scores higher in 5 categories and Llama 3.2 90B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.6 leads 67.0 to 11.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.2% for Grok 4.6 and 2.6% for Llama 3.2 90B.
- Llama 3.2 90B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 56.9 | 27.5 |
| Rank | 21 | 331 |
| Context | 500K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Proprietary | Open |

## Coding

- Grok 4.6: 58.5 (#16)
- Llama 3.2 90B: —

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| LMArena WebDev | 1617 | — |
| FrontierSWE | 25.3% | — |
| SciCode | 56.5% | — |
| WeirdML | 67.3% | — |
| LMArena Coding | 1465 | — |
| ALE-Bench | 1,508 | — |

## Agentic & Tool Use

- Grok 4.6: 39.4 (#27)
- Llama 3.2 90B: 30.0 (#80)

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| APEX-Agents | 65.3% | — |
| BALROG | — | 27.3% |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |

## Reasoning

- Grok 4.6: 61.4 (#20)
- Llama 3.2 90B: 21.7 (#217)

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 156.44 | 125.5 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| CritPt | 19.7% | — |
| Chess Puzzles | 40% | — |
| EnigmaEval | — | 0.4% |
| EBR-Bench | 30.5% | — |
| LMArena Hard Prompts | 1447 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.3% | — |
| LMCA | 48.5% | — |

## Math

- Grok 4.6: 67.0 (#24)
- Llama 3.2 90B: 11.1 (#308)

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.2% | 2.6% |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| ProofBench | 51% | — |
| LMArena Math | 1423 | — |
| MATH Level 5 | — | 39.4% |

## Knowledge

- Grok 4.6: 63.3 (#20)
- Llama 3.2 90B: 21.7 (#274)

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 94% | 41% |
| SimpleQA Verified | 49.3% | — |
| LMArena Expert | 1467 | — |
| MMLU | — | 80.3% |

## Multimodal

- Grok 4.6: 43.6 (#23)
- Llama 3.2 90B: 25.4 (#124)

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | 1263 | 1000 |
| GeoBench | — | 52% |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |

## Multilingual

- Grok 4.6: 53.0 (#74)
- Llama 3.2 90B: —

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1480 | — |
| LMArena French | 1461 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
| LMArena Russian | 1422 | — |
| LMArena Spanish | 1404 | — |

## Instruction Following

- Grok 4.6: 75.4 (#63)
- Llama 3.2 90B: —

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1431 | — |

## Long Context

- Grok 4.6: 44.5 (#66)
- Llama 3.2 90B: —

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1454 | — |

## Writing & Preference

- Grok 4.6: 62.3 (#80)
- Llama 3.2 90B: —

| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1428 | — |
| LMArena Multi-Turn | 1425 | — |

## FAQ

### Is Grok 4.6 better than Llama 3.2 90B?

Grok 4.6 is the stronger model overall, scoring 56.9 to 27.5 on the Noometry Index.

### How many benchmarks do Grok 4.6 and Llama 3.2 90B share?

4 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Llama 3.2 90B has 9.