Model comparison
Grok-2 (Dec 2024) vs Llama 4 Maverick
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.9 on the Noometry Index.
Last verified . 27 shared benchmarks.
MetaSummary
- They share 27 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 5 categories and Llama 4 Maverick in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok-2 (Dec 2024) leads 48.6 to 38.8.
- The biggest single-benchmark swing is GPQA Diamond: 53.8% for Grok-2 (Dec 2024) and 67% for Llama 4 Maverick.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Llama 4 Maverick | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 33.7 | 30.9 |
| Released | 2024-08-13 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 34 | 54 |
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Category by category
Coding Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 33.3 (#258), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| WeirdML | 22.2% | 24.5% |
| LMArena Coding | 1287 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| BigCodeBench Instruct | — | 49.7% |
| LiveBench Coding | 46.4% | — |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Not comparable
Grok-2 (Dec 2024): —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 16.9 (#299), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| SimpleBench | 22.7% | 27.7% |
| LMArena Hard Prompts | 1272 | 1281 |
| DTBench | 65.2% | 61.9% |
| Epoch Capabilities Index | 130.48 | 132.2 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| LiveBench Reasoning | 54.8% | — |
| LiveBench Data Analysis | 54.5% | — |
| LMCA | — | 15.9% |
| ForecastBench | — | 57.5 |
| LiveBench | 54.3% | — |
Math Llama 4 Maverick leads
Grok-2 (Dec 2024): 20.8 (#284), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | 20.6% |
| LMArena Math | 1283 | 1299 |
| MATH Level 5 | 63.5% | 73% |
| FrontierMath (Feb 2025 set) | 0.7% | 0.7% |
| Omni-MATH | — | 42.2% |
| LiveBench Math | 54.9% | — |
Knowledge Llama 4 Maverick leads
Grok-2 (Dec 2024): 29.8 (#233), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 53.8% | 67% |
| Confabulations | 20.1% | 22.6% |
| LMArena Expert | 1254 | 1259 |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
Multimodal Not comparable
Grok-2 (Dec 2024): —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Too close to call
Grok-2 (Dec 2024): 43.1 (#188), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1282 | 1269 |
| LMArena Chinese | 1289 | 1277 |
| LMArena French | 1318 | 1259 |
| LMArena German | 1287 | 1291 |
| LMArena Japanese | 1244 | 1207 |
| LMArena Korean | 1237 | 1203 |
| LMArena Russian | 1286 | 1286 |
| LMArena Spanish | 1281 | 1293 |
Instruction Following Llama 4 Maverick leads
Grok-2 (Dec 2024): 66.9 (#202), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1270 | 1267 |
| LiveBench Instruction Following | 69.6% | — |
| IFEval | — | 90.8% |
Long Context Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 38.8 (#190), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1276 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 48.6 (#198), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Grok-2 (Dec 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1305 | 1287 |
| LMArena Creative Writing | 1284 | 1267 |
| Short-Story Creative Writing | 63.6% | 62% |
| LMArena Multi-Turn | 1290 | 1289 |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Llama 4 Maverick?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.9 on the Noometry Index.
Is Grok-2 (Dec 2024) or Llama 4 Maverick better for coding?
Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 26.6 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Llama 4 Maverick share?
27 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Llama 4 Maverick has 54.