Model comparison
Grok 4 Fast vs Llama 2-7B
Grok 4 Fast is the stronger model overall, scoring 39.4 to 29.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Grok 4 Fast scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 30.4.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Llama 2-7B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 39.4 | 29.1 |
| Released | 2025-09-19 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 29 |
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Category by category
Coding Grok 4 Fast leads
Grok 4 Fast: 32.5 (#271), Llama 2-7B: 29.2 (#307)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1429 | 1002 |
| LMArena WebDev | 1159 | — |
| WeirdML | 42.9% | — |
Agentic & Tool Use Not comparable
Grok 4 Fast: 29.5 (#86), Llama 2-7B: —
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Grok 4 Fast leads
Grok 4 Fast: 22.2 (#201), Llama 2-7B: 15.7 (#312)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1412 | 1009 |
| Epoch Capabilities Index | 144.2 | 99.06 |
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| Chess Puzzles | — | 0% |
| DTBench | 82.7% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 60.5 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Grok 4 Fast leads
Grok 4 Fast: 38.9 (#123), Llama 2-7B: 30.7 (#233)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Math | 1419 | 1042 |
| GSM8K | — | 16.7% |
Knowledge Grok 4 Fast leads
Grok 4 Fast: 32.0 (#214), Llama 2-7B: 28.2 (#248)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1411 | 1036 |
| Vectara Hallucination Rate | 19.7% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Grok 4 Fast: —, Llama 2-7B: —
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Grok 4 Fast leads
Grok 4 Fast: 51.3 (#111), Llama 2-7B: 23.8 (#293)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1396 | 973 |
| LMArena Chinese | 1457 | 973 |
| LMArena French | 1431 | 970 |
| LMArena German | 1383 | 978 |
| LMArena Russian | 1389 | 995 |
| LMArena Spanish | 1415 | 1007 |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1357 | — |
Instruction Following Grok 4 Fast leads
Grok 4 Fast: 73.2 (#121), Llama 2-7B: 50.8 (#298)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1387 | 1006 |
Long Context Grok 4 Fast leads
Grok 4 Fast: 63.2 (#3), Llama 2-7B: 30.4 (#287)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1415 | 999 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Grok 4 Fast leads
Grok 4 Fast: 60.0 (#102), Llama 2-7B: 28.0 (#298)
| Benchmark | Grok 4 Fast | Llama 2-7B |
|---|---|---|
| LMArena Text | 1407 | 1053 |
| LMArena Creative Writing | 1387 | 1033 |
| LMArena Multi-Turn | 1414 | 1029 |
Frequently asked questions
Is Grok 4 Fast better than Llama 2-7B?
Grok 4 Fast is the stronger model overall, scoring 39.4 to 29.1 on the Noometry Index.
Is Grok 4 Fast or Llama 2-7B better for coding?
Grok 4 Fast scores higher on coding benchmarks: 32.5 versus 29.2 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Llama 2-7B share?
16 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Llama 2-7B has 29.