Model comparison
Grok 4.6 vs Llama 3-70B
Grok 4.6 is the stronger model overall, scoring 56.9 to 28.8 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Grok 4.6 scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.6 leads 67.0 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.2% for Grok 4.6 and 4.3% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.6 | Llama 3-70B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 56.9 | 28.8 |
| Released | 2026-08-12 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 49 | 31 |
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Category by category
Coding Grok 4.6 leads
Grok 4.6: 58.5 (#16), Llama 3-70B: 35.8 (#218)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1465 | 1206 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| LMArena WebDev | 1617 | — |
| FrontierSWE | 25.3% | — |
| SciCode | 56.5% | — |
| WeirdML | 67.3% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,508 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Grok 4.6 leads
Grok 4.6: 39.4 (#27), Llama 3-70B: 21.1 (#139)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| APEX-Agents | 65.3% | — |
| Cybench | — | 5% |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |
Reasoning Grok 4.6 leads
Grok 4.6: 61.4 (#20), Llama 3-70B: 18.0 (#288)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1195 |
| DTBench | 97.3% | 54.2% |
| Epoch Capabilities Index | 156.44 | 122.93 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| CritPt | 19.7% | — |
| Chess Puzzles | 40% | — |
| EBR-Bench | 30.5% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 48.5% | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math Grok 4.6 leads
Grok 4.6: 67.0 (#24), Llama 3-70B: 12.8 (#305)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.2% | 4.3% |
| LMArena Math | 1423 | 1218 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| ProofBench | 51% | — |
| MATH Level 5 | — | 22.6% |
Knowledge Grok 4.6 leads
Grok 4.6: 63.3 (#20), Llama 3-70B: 20.8 (#277)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 94% | 40.6% |
| LMArena Expert | 1467 | 1149 |
| SimpleQA Verified | 49.3% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Grok 4.6: 43.6 (#23), Llama 3-70B: —
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.6 leads
Grok 4.6: 53.0 (#74), Llama 3-70B: 33.6 (#251)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1420 | 1142 |
| LMArena Chinese | 1480 | 1114 |
| LMArena French | 1461 | 1232 |
| LMArena German | 1431 | 1169 |
| LMArena Japanese | 1376 | 1017 |
| LMArena Korean | 1397 | 1017 |
| LMArena Russian | 1422 | 1159 |
| LMArena Spanish | 1404 | 1241 |
Instruction Following Grok 4.6 leads
Grok 4.6: 75.4 (#63), Llama 3-70B: 62.5 (#238)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1431 | 1194 |
Long Context Grok 4.6 leads
Grok 4.6: 44.5 (#66), Llama 3-70B: 35.6 (#240)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1454 | 1174 |
Writing & Preference Grok 4.6 leads
Grok 4.6: 62.3 (#80), Llama 3-70B: 42.8 (#231)
| Benchmark | Grok 4.6 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1428 | 1221 |
| LMArena Creative Writing | 1428 | 1210 |
| LMArena Multi-Turn | 1425 | 1223 |
Frequently asked questions
Is Grok 4.6 better than Llama 3-70B?
Grok 4.6 is the stronger model overall, scoring 56.9 to 28.8 on the Noometry Index.
Is Grok 4.6 or Llama 3-70B better for coding?
Grok 4.6 scores higher on coding benchmarks: 58.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Grok 4.6 and Llama 3-70B share?
21 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Llama 3-70B has 31.