Model comparison
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.
Last verified . 4 shared benchmarks.
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.
Side by side
| Grok 4.6 | Llama 3.2 90B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 56.9 | 27.5 |
| Released | 2026-08-12 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 49 | 9 |
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Category by category
Coding Not comparable
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 leads
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 leads
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 leads
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 leads
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 leads
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 Not comparable
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 Not comparable
Grok 4.6: 75.4 (#63), Llama 3.2 90B: —
| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1431 | — |
Long Context Not comparable
Grok 4.6: 44.5 (#66), Llama 3.2 90B: —
| Benchmark | Grok 4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1454 | — |
Writing & Preference Not comparable
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 | — |
Frequently asked questions
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.