Model comparison
Grok 3 vs Llama 2-7B
Grok 3 is the stronger model overall, scoring 39.6 to 28.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Grok 3 scores higher in 7 categories and Llama 2-7B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Grok 3 leads 52.5 to 23.9.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Grok 3 | Llama 2-7B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 39.6 | 28.6 |
| Released | 2025-04-09 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 40 | 29 |
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Category by category
Coding Grok 3 leads
Grok 3: 41.5 (#113), Llama 2-7B: 28.7 (#302)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1432 | 1002 |
| Aider Polyglot | 53.3% | — |
| WeirdML | 37.2% | — |
Agentic & Tool Use Not comparable
Grok 3: 30.2 (#69), Llama 2-7B: —
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| BALROG | 29.5% | — |
Reasoning Llama 2-7B leads
Grok 3: 13.8 (#322), Llama 2-7B: 15.1 (#309)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1433 | 1009 |
| Epoch Capabilities Index | 138.34 | 98.54 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 36.1% | — |
| Kagi LLM Benchmark | 61.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Grok 3 leads
Grok 3: 36.2 (#122), Llama 2-7B: 28.2 (#231)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1390 | 1042 |
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| Omni-MATH | 46.4% | — |
| MATH Level 5 | 88.7% | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 16.7% |
Knowledge Grok 3 leads
Grok 3: 46.0 (#76), Llama 2-7B: 27.7 (#243)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1420 | 1036 |
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 78.8% | — |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 5.8% | — |
| GPQA (HELM) | 65% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Grok 3: —, Llama 2-7B: —
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Grok 3 leads
Grok 3: 52.5 (#81), Llama 2-7B: 23.9 (#288)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1411 | 973 |
| LMArena Chinese | 1448 | 973 |
| LMArena French | 1460 | 969 |
| LMArena German | 1431 | 978 |
| LMArena Russian | 1416 | 995 |
| LMArena Spanish | 1417 | 1007 |
| LMArena Japanese | 1389 | — |
| LMArena Korean | 1374 | — |
Instruction Following Grok 3 leads
Grok 3: 75.2 (#69), Llama 2-7B: 51.0 (#293)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1409 | 1006 |
| IFEval | 88.4% | — |
Long Context Grok 3 leads
Grok 3: 38.7 (#187), Llama 2-7B: 30.4 (#282)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1439 | 999 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Grok 3 leads
Grok 3: 56.0 (#136), Llama 2-7B: 28.1 (#293)
| Benchmark | Grok 3 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1426 | 1053 |
| LMArena Creative Writing | 1414 | 1033 |
| LMArena Multi-Turn | 1424 | 1029 |
| Short-Story Creative Writing | 76.4% | — |
| EQ-Bench Creative Writing | 1186 | — |
| WildBench | 84.9% | — |
Frequently asked questions
Is Grok 3 better than Llama 2-7B?
Grok 3 is the stronger model overall, scoring 39.6 to 28.6 on the Noometry Index.
Is Grok 3 or Llama 2-7B better for coding?
Grok 3 scores higher on coding benchmarks: 41.5 versus 28.7 in the Noometry coding category.
How many benchmarks do Grok 3 and Llama 2-7B share?
16 benchmarks have published results for both models. Grok 3 has 40 scored results on Noometry and Llama 2-7B has 29.