Model comparison
Grok-2 (Dec 2024) vs Llama 3.2 90B
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 2 categories and Llama 3.2 90B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok-2 (Dec 2024) leads 20.8 to 11.1.
- The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 39.4% for Llama 3.2 90B.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Llama 3.2 90B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 33.7 | 27.5 |
| Released | 2024-08-13 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 9 |
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Category by category
Coding Not comparable
Grok-2 (Dec 2024): 33.3 (#258), Llama 3.2 90B: —
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
| LMArena Coding | 1287 | — |
Agentic & Tool Use Not comparable
Grok-2 (Dec 2024): —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning Llama 3.2 90B leads
Grok-2 (Dec 2024): 16.9 (#299), Llama 3.2 90B: 21.7 (#217)
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 130.48 | 125.5 |
| SimpleBench | 22.7% | — |
| EnigmaEval | — | 0.4% |
| LiveBench Reasoning | 54.8% | — |
| LMArena Hard Prompts | 1272 | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| LiveBench | 54.3% | — |
Math Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 20.8 (#284), Llama 3.2 90B: 11.1 (#308)
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | 2.6% |
| MATH Level 5 | 63.5% | 39.4% |
| LiveBench Math | 54.9% | — |
| LMArena Math | 1283 | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 29.8 (#233), Llama 3.2 90B: 21.7 (#274)
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 53.8% | 41% |
| Confabulations | 20.1% | — |
| LMArena Expert | 1254 | — |
| MMLU | — | 80.3% |
Multimodal Not comparable
Grok-2 (Dec 2024): —, Llama 3.2 90B: 25.4 (#124)
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
Multilingual Not comparable
Grok-2 (Dec 2024): 43.1 (#188), Llama 3.2 90B: —
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1282 | — |
| LMArena Chinese | 1289 | — |
| LMArena French | 1318 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1281 | — |
Instruction Following Not comparable
Grok-2 (Dec 2024): 66.9 (#202), Llama 3.2 90B: —
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| LiveBench Instruction Following | 69.6% | — |
| LMArena Instruction Following | 1270 | — |
Long Context Not comparable
Grok-2 (Dec 2024): 38.8 (#190), Llama 3.2 90B: —
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Grok-2 (Dec 2024): 48.6 (#198), Llama 3.2 90B: —
| Benchmark | Grok-2 (Dec 2024) | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1305 | — |
| LMArena Creative Writing | 1284 | — |
| Short-Story Creative Writing | 63.6% | — |
| LMArena Multi-Turn | 1290 | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Llama 3.2 90B?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.5 on the Noometry Index.
How many benchmarks do Grok-2 (Dec 2024) and Llama 3.2 90B share?
4 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 3.2 90B has 9.