Model comparison
Grok 4.1 vs Llama 3.1-70B
Grok 4.1 is the stronger model overall, scoring 41.5 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok 4.1 scores higher in 9 categories and Llama 3.1-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.1 leads 62.4 to 35.4.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.1 | Llama 3.1-70B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 41.5 | 29.6 |
| Released | 2025-11-17 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 19 | 35 |
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Category by category
Coding Grok 4.1 leads
Grok 4.1: 33.7 (#253), Llama 3.1-70B: 30.3 (#296)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 1445 | 1260 |
| LMArena WebDev | 1214 | — |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 54.8% |
Agentic & Tool Use Grok 4.1 leads
Grok 4.1: 34.1 (#49), Llama 3.1-70B: 25.1 (#112)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | — | 6.9% |
| Cybench | 39% | — |
| BALROG | — | 27.9% |
Reasoning Grok 4.1 leads
Grok 4.1: 29.5 (#91), Llama 3.1-70B: 21.6 (#220)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1435 | 1241 |
| DTBench | — | 60% |
| LMCA | — | 14.8% |
| Epoch Capabilities Index | — | 125.92 |
Math Grok 4.1 leads
Grok 4.1: 38.9 (#120), Llama 3.1-70B: 13.5 (#304)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Math | 1422 | 1252 |
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| Omni-MATH | — | 21% |
| MATH Level 5 | — | 36.7% |
Knowledge Grok 4.1 leads
Grok 4.1: 39.5 (#133), Llama 3.1-70B: 24.2 (#269)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Expert | 1417 | 1209 |
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| MMLU | — | 80.1% |
Multilingual Grok 4.1 leads
Grok 4.1: 53.4 (#68), Llama 3.1-70B: 38.8 (#225)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1425 | 1219 |
| LMArena Chinese | 1465 | 1215 |
| LMArena French | 1448 | 1261 |
| LMArena German | 1446 | 1222 |
| LMArena Japanese | 1397 | 1132 |
| LMArena Korean | 1407 | 1140 |
| LMArena Russian | 1434 | 1234 |
| LMArena Spanish | 1438 | 1253 |
Instruction Following Grok 4.1 leads
Grok 4.1: 73.8 (#111), Llama 3.1-70B: 65.3 (#223)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Instruction Following | 1400 | 1231 |
| IFEval | — | 82.1% |
Long Context Grok 4.1 leads
Grok 4.1: 43.2 (#100), Llama 3.1-70B: 37.6 (#214)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1416 | 1241 |
Writing & Preference Grok 4.1 leads
Grok 4.1: 62.4 (#75), Llama 3.1-70B: 35.4 (#267)
| Benchmark | Grok 4.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1437 | 1261 |
| LMArena Creative Writing | 1411 | 1232 |
| LMArena Multi-Turn | 1437 | 1256 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
Frequently asked questions
Is Grok 4.1 better than Llama 3.1-70B?
Grok 4.1 is the stronger model overall, scoring 41.5 to 29.6 on the Noometry Index.
Is Grok 4.1 or Llama 3.1-70B better for coding?
Grok 4.1 scores higher on coding benchmarks: 33.7 versus 30.3 in the Noometry coding category.
How many benchmarks do Grok 4.1 and Llama 3.1-70B share?
17 benchmarks have published results for both models. Grok 4.1 has 19 scored results on Noometry and Llama 3.1-70B has 35.