Model comparison
Grok 4.6 vs Llama 3.1 Nemotron 70b Instruct
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. Grok 4.6 scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 25.0.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4.6 | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | xAI | NVIDIA |
| Noometry Index | 56.9 | 37.6 |
| Released | 2026-08-12 | 2024-12-18 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 49 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.6 leads
Grok 4.6: 58.5 (#16), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1465 | 1272 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| LMArena WebDev | 1617 | — |
| FrontierSWE | 25.3% | — |
| SciCode | 56.5% | — |
| WeirdML | 67.3% | — |
| BigCodeBench Instruct | — | 38.7% |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 1,508 | — |
Agentic & Tool Use Not comparable
Grok 4.6: 39.4 (#27), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| APEX-Agents | 65.3% | — |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |
Reasoning Grok 4.6 leads
Grok 4.6: 61.4 (#20), Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1266 |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| NYT Connections (extended) | 80% | — |
| ARC-AGI-1 | 87.5% | — |
| CritPt | 19.7% | — |
| Chess Puzzles | 40% | — |
| EBR-Bench | 30.5% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.3% | — |
| LMCA | 48.5% | — |
| Epoch Capabilities Index | 156.44 | — |
Math Grok 4.6 leads
Grok 4.6: 67.0 (#24), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1423 | 1271 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 51% | — |
Knowledge Grok 4.6 leads
Grok 4.6: 63.3 (#20), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1467 | 1242 |
| GPQA Diamond | 94% | — |
| SimpleQA Verified | 49.3% | — |
Multimodal Not comparable
Grok 4.6: 43.6 (#23), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| 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 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1420 | 1245 |
| LMArena Chinese | 1480 | 1263 |
| LMArena Russian | 1422 | 1227 |
| LMArena French | 1461 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
| LMArena Spanish | 1404 | — |
Instruction Following Grok 4.6 leads
Grok 4.6: 75.4 (#63), Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1431 | 1252 |
Long Context Grok 4.6 leads
Grok 4.6: 44.5 (#66), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1454 | 1238 |
Writing & Preference Grok 4.6 leads
Grok 4.6: 62.3 (#80), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | Grok 4.6 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1428 | 1283 |
| LMArena Creative Writing | 1428 | 1269 |
| LMArena Multi-Turn | 1425 | 1275 |
Frequently asked questions
Is Grok 4.6 better than Llama 3.1 Nemotron 70b Instruct?
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.6 on the Noometry Index.
Is Grok 4.6 or Llama 3.1 Nemotron 70b Instruct better for coding?
Grok 4.6 scores higher on coding benchmarks: 58.5 versus 35.9 in the Noometry coding category.
How many benchmarks do Grok 4.6 and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.