Model comparison
Grok 4 vs Llama 4 Scout
Grok 4 is the stronger model overall, scoring 48.1 to 27.7 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Grok 4 scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 27.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84% for Grok 4 and 7.8% for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Grok 4 | Llama 4 Scout | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 48.1 | 27.7 |
| Released | 2025-07-09 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 48 | 43 |
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 4 Scout: 20.2 (#339)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1408 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| Aider Polyglot | 79.6% | — |
| SciCode | — | 17% |
| WeirdML | 45.7% | — |
| BigCodeBench Complete | — | 43.1% |
Agentic & Tool Use Grok 4 leads
Grok 4: 32.3 (#68), Llama 4 Scout: 24.6 (#119)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | 28.1% |
| Terminal-Bench | 27.2% | — |
| GDPval | 21.1% | — |
| Cybench | 43% | — |
| 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 4 Scout: 9.1 (#345)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| ARC-AGI-2 | 16% | 0% |
| Kagi LLM Benchmark | 73.6% | 36.9% |
| ARC-AGI-1 | 66.7% | 0.5% |
| LMArena Hard Prompts | 1409 | 1266 |
| Epoch Capabilities Index | 146.44 | 129.64 |
| ForecastBench | 60.9 | 57.5 |
| SimpleBench | 60.5% | — |
| CritPt | — | 0% |
| Chess Puzzles | 28% | — |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
Math Grok 4 leads
Grok 4: 48.4 (#64), Llama 4 Scout: 19.6 (#286)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84% | 7.8% |
| Omni-MATH | 60.3% | 37.3% |
| LMArena Math | 1422 | 1287 |
| FrontierMath (Feb 2025 set) | 19.7% | 0% |
| MATH Level 5 | — | 62.3% |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4 leads
Grok 4: 53.8 (#55), Llama 4 Scout: 31.9 (#217)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | 87% | 51.8% |
| MMLU-Pro | 85.1% | 74.2% |
| GPQA (HELM) | 72.7% | 50.7% |
| LMArena Expert | 1415 | 1235 |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 7.7% |
Multimodal Grok 4 leads
Grok 4: 33.7 (#94), Llama 4 Scout: 32.2 (#102)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 1210 | 1118 |
| GeoBench | 45% | — |
| SpatialViz-Bench | — | 34.2% |
Multilingual Grok 4 leads
Grok 4: 51.8 (#103), Llama 4 Scout: 41.0 (#212)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1403 | 1252 |
| LMArena Chinese | 1427 | 1255 |
| LMArena French | 1418 | 1282 |
| LMArena German | 1429 | 1272 |
| LMArena Japanese | 1394 | 1206 |
| LMArena Korean | 1377 | 1207 |
| LMArena Russian | 1410 | 1263 |
| LMArena Spanish | 1420 | 1278 |
Instruction Following Grok 4 leads
Grok 4: 79.2 (#5), Llama 4 Scout: 65.8 (#217)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| IFEval | 94.9% | 81.8% |
| LMArena Instruction Following | 1387 | 1248 |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), Llama 4 Scout: 27.5 (#294)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| Fiction.LiveBench | 94.4% | 36% |
| LMArena Longer Query | 1409 | 1265 |
Writing & Preference Grok 4 leads
Grok 4: 58.5 (#116), Llama 4 Scout: 37.0 (#261)
| Benchmark | Grok 4 | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1411 | 1279 |
| LMArena Creative Writing | 1397 | 1249 |
| WildBench | 79.7% | 78% |
| LMArena Multi-Turn | 1416 | 1280 |
| Short-Story Creative Writing | 76.9% | — |
| EQ-Bench Creative Writing | — | 783 |
Frequently asked questions
Is Grok 4 better than Llama 4 Scout?
Grok 4 is the stronger model overall, scoring 48.1 to 27.7 on the Noometry Index.
Is Grok 4 or Llama 4 Scout better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 20.2 in the Noometry coding category.
How many benchmarks do Grok 4 and Llama 4 Scout share?
33 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Llama 4 Scout has 43.