Model comparison
Grok 4 Fast vs Llama 13b
Grok 4 Fast is the stronger model overall, scoring 39.4 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Grok 4 Fast scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4 Fast leads 60.0 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Llama 13b | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 39.4 | 24.4 |
| Released | 2025-09-19 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 21 |
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Category by category
Coding Grok 4 Fast leads
Grok 4 Fast: 32.5 (#271), Llama 13b: 21.4 (#337)
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| LMArena Coding | 1429 | 683 |
| LMArena WebDev | 1159 | — |
| WeirdML | 42.9% | — |
Agentic & Tool Use Not comparable
Grok 4 Fast: 29.5 (#86), Llama 13b: —
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Grok 4 Fast leads
Grok 4 Fast: 22.2 (#201), Llama 13b: 14.0 (#329)
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1412 | 728 |
| Epoch Capabilities Index | 144.2 | 100.58 |
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| DTBench | 82.7% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 60.5 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Grok 4 Fast leads
Grok 4 Fast: 38.9 (#123), Llama 13b: 26.7 (#256)
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| LMArena Math | 1419 | 838 |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Grok 4 Fast: 32.0 (#214), Llama 13b: —
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| Vectara Hallucination Rate | 19.7% | — |
| LMArena Expert | 1411 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Grok 4 Fast: —, Llama 13b: —
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Grok 4 Fast leads
Grok 4 Fast: 51.3 (#111), Llama 13b: 16.6 (#297)
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| LMArena Non-English | 1396 | 819 |
| LMArena Chinese | 1457 | — |
| LMArena French | 1431 | — |
| LMArena German | 1383 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1357 | — |
| LMArena Russian | 1389 | — |
| LMArena Spanish | 1415 | — |
Instruction Following Grok 4 Fast leads
Grok 4 Fast: 73.2 (#121), Llama 13b: 36.7 (#305)
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1387 | 781 |
Long Context Not comparable
Grok 4 Fast: 63.2 (#3), Llama 13b: —
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 94.4% | — |
| LMArena Longer Query | 1415 | — |
Writing & Preference Grok 4 Fast leads
Grok 4 Fast: 60.0 (#102), Llama 13b: 13.8 (#312)
| Benchmark | Grok 4 Fast | Llama 13b |
|---|---|---|
| LMArena Text | 1407 | 834 |
| LMArena Creative Writing | 1387 | 794 |
| LMArena Multi-Turn | 1414 | 753 |
Frequently asked questions
Is Grok 4 Fast better than Llama 13b?
Grok 4 Fast is the stronger model overall, scoring 39.4 to 24.4 on the Noometry Index.
Is Grok 4 Fast or Llama 13b better for coding?
Grok 4 Fast scores higher on coding benchmarks: 32.5 versus 21.4 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Llama 13b share?
9 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Llama 13b has 21.