Model comparison
Grok 4 Fast vs Llama 3-70B
Grok 4 Fast is the stronger model overall, scoring 39.0 to 28.5 on the Noometry Index.
Last verified . 22 shared benchmarks.
MetaSummary
- They share 22 benchmarks with published results for both. Grok 4 Fast scores higher in 8 categories and Llama 3-70B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 35.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 66.1% for Grok 4 Fast and 35.1% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Llama 3-70B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 39.0 | 28.5 |
| Released | 2025-09-19 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama 3-70B leads
Grok 4 Fast: 32.3 (#264), Llama 3-70B: 35.3 (#215)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1429 | 1206 |
| LMArena WebDev | 1160 | — |
| WeirdML | 42.9% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Grok 4 Fast leads
Grok 4 Fast: 29.3 (#80), Llama 3-70B: 20.9 (#132)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| Cybench | 30% | 5% |
| τ²-bench Banking | 15.7% | — |
| LMArena Search | 1171 | — |
Reasoning Grok 4 Fast leads
Grok 4 Fast: 22.5 (#179), Llama 3-70B: 17.4 (#284)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 66.1% | 35.1% |
| LMArena Hard Prompts | 1413 | 1195 |
| DTBench | 82.7% | 54.2% |
| Epoch Capabilities Index | 144.21 | 122.91 |
| ForecastBench | 60.5 | 57.1 |
| ARC-AGI-2 | 5.3% | — |
| ARC-AGI-1 | 48.5% | — |
| WinoGrande | — | 83.5% |
Math Grok 4 Fast leads
Grok 4 Fast: 36.1 (#126), Llama 3-70B: 12.0 (#299)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Math | 1419 | 1218 |
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| MATH Level 5 | — | 22.6% |
Knowledge Grok 4 Fast leads
Grok 4 Fast: 31.5 (#211), Llama 3-70B: 20.8 (#272)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Expert | 1411 | 1149 |
| GPQA Diamond | — | 40.6% |
| Vectara Hallucination Rate | 19.7% | — |
| MMLU | — | 79.3% |
Multilingual Grok 4 Fast leads
Grok 4 Fast: 51.5 (#106), Llama 3-70B: 33.8 (#246)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1397 | 1142 |
| LMArena Chinese | 1458 | 1114 |
| LMArena French | 1433 | 1231 |
| LMArena German | 1383 | 1169 |
| LMArena Japanese | 1358 | 1017 |
| LMArena Korean | 1359 | 1017 |
| LMArena Russian | 1387 | 1159 |
| LMArena Spanish | 1414 | 1241 |
Instruction Following Grok 4 Fast leads
Grok 4 Fast: 73.4 (#116), Llama 3-70B: 62.8 (#233)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1388 | 1194 |
Long Context Grok 4 Fast leads
Grok 4 Fast: 63.2 (#3), Llama 3-70B: 35.6 (#235)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1415 | 1174 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Grok 4 Fast leads
Grok 4 Fast: 60.2 (#96), Llama 3-70B: 43.0 (#225)
| Benchmark | Grok 4 Fast | Llama 3-70B |
|---|---|---|
| LMArena Text | 1407 | 1221 |
| LMArena Creative Writing | 1388 | 1210 |
| LMArena Multi-Turn | 1414 | 1223 |
Frequently asked questions
Is Grok 4 Fast better than Llama 3-70B?
Grok 4 Fast is the stronger model overall, scoring 39.0 to 28.5 on the Noometry Index.
Is Grok 4 Fast or Llama 3-70B better for coding?
Llama 3-70B scores higher on coding benchmarks: 35.3 versus 32.3 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Llama 3-70B share?
22 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Llama 3-70B has 31.