Model comparison
Grok 4 vs Llama 3-70B
Grok 4 is the stronger model overall, scoring 48.1 to 28.8 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Grok 4 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 leads 48.4 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84% for Grok 4 and 4.3% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 | Llama 3-70B | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 48.1 | 28.8 |
| Released | 2025-07-09 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 48 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4 leads
Grok 4: 50.3 (#46), Llama 3-70B: 35.8 (#218)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1408 | 1206 |
| Aider Polyglot | 79.6% | — |
| WeirdML | 45.7% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Grok 4 leads
Grok 4: 32.3 (#68), Llama 3-70B: 21.1 (#139)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| Cybench | 43% | 5% |
| Terminal-Bench | 27.2% | — |
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 21.1% | — |
| DeepResearch Bench | 47.3% | — |
| BALROG | 43.6% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 66.6% | — |
Reasoning Grok 4 leads
Grok 4: 36.7 (#65), Llama 3-70B: 18.0 (#288)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 73.6% | 35.1% |
| LMArena Hard Prompts | 1409 | 1195 |
| Epoch Capabilities Index | 146.44 | 122.93 |
| ForecastBench | 60.9 | 57.1 |
| ARC-AGI-2 | 16% | — |
| SimpleBench | 60.5% | — |
| ARC-AGI-1 | 66.7% | — |
| Chess Puzzles | 28% | — |
| DTBench | — | 54.2% |
| WinoGrande | — | 83.5% |
Math Grok 4 leads
Grok 4: 48.4 (#64), Llama 3-70B: 12.8 (#305)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84% | 4.3% |
| LMArena Math | 1422 | 1218 |
| Omni-MATH | 60.3% | — |
| MATH Level 5 | — | 22.6% |
| FrontierMath (Feb 2025 set) | 19.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4 leads
Grok 4: 53.8 (#55), Llama 3-70B: 20.8 (#277)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 87% | 40.6% |
| LMArena Expert | 1415 | 1149 |
| MMLU-Pro | 85.1% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 72.7% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Grok 4: 33.7 (#94), Llama 3-70B: —
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 45% | — |
Multilingual Grok 4 leads
Grok 4: 51.8 (#103), Llama 3-70B: 33.6 (#251)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1403 | 1142 |
| LMArena Chinese | 1427 | 1114 |
| LMArena French | 1418 | 1232 |
| LMArena German | 1429 | 1169 |
| LMArena Japanese | 1394 | 1017 |
| LMArena Korean | 1377 | 1017 |
| LMArena Russian | 1410 | 1159 |
| LMArena Spanish | 1420 | 1241 |
Instruction Following Grok 4 leads
Grok 4: 79.2 (#5), Llama 3-70B: 62.5 (#238)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1387 | 1194 |
| IFEval | 94.9% | — |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), Llama 3-70B: 35.6 (#240)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1409 | 1174 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Grok 4 leads
Grok 4: 58.5 (#116), Llama 3-70B: 42.8 (#231)
| Benchmark | Grok 4 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1411 | 1221 |
| LMArena Creative Writing | 1397 | 1210 |
| LMArena Multi-Turn | 1416 | 1223 |
| Short-Story Creative Writing | 76.9% | — |
| WildBench | 79.7% | — |
Frequently asked questions
Is Grok 4 better than Llama 3-70B?
Grok 4 is the stronger model overall, scoring 48.1 to 28.8 on the Noometry Index.
Is Grok 4 or Llama 3-70B better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 35.8 in the Noometry coding category.
How many benchmarks do Grok 4 and Llama 3-70B share?
23 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Llama 3-70B has 31.