Model comparison
GPT-4 vs Llama 4 Maverick
Llama 4 Maverick is the stronger model overall, scoring 30.6 to 28.9 on the Noometry Index.
Last verified . 28 shared benchmarks.
MetaSummary
- They share 28 benchmarks with published results for both. GPT-4 scores higher in 3 categories and Llama 4 Maverick in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Maverick leads 33.3 to 18.4.
- The biggest single-benchmark swing is MATH Level 5: 23% for GPT-4 and 73% for Llama 4 Maverick.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $30 / $60 for GPT-4.
- Llama 4 Maverick accepts more context: 128K tokens versus 8K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| GPT-4 | Llama 4 Maverick | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 28.9 | 30.6 |
| Released | 2023-03-14 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | 8K | 128K |
| Max output | 8K | 4K |
| Input $ / M tokens | $30 | $0.19 |
| Output $ / M tokens | $60 | $0.65 |
| Results tracked | 38 | 54 |
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Category by category
Coding GPT-4 leads
GPT-4: 31.2 (#277), Llama 4 Maverick: 26.3 (#318)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| WeirdML | 12.4% | 24.5% |
| BigCodeBench Instruct | 46% | 49.7% |
| LMArena Coding | 1254 | 1302 |
| BigCodeBench Complete | 57.2% | 61.4% |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| ALE-Bench | — | 172.97 |
| HumanEval+ | 79.3% | — |
Agentic & Tool Use Not comparable
GPT-4: —, Llama 4 Maverick: 27.9 (#86)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
| METR Time Horizons | 36.1% | — |
Reasoning GPT-4 leads
GPT-4: 17.3 (#285), Llama 4 Maverick: 10.1 (#337)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1281 |
| DTBench | 62.7% | 61.9% |
| LMCA | 17.1% | 15.9% |
| Epoch Capabilities Index | 125.88 | 132.2 |
| ForecastBench | 57.8 | 57.5 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| Chess Puzzles | 4% | — |
| EnigmaEval | — | 0.6% |
| Mystery Game Puzzles | 12% | — |
| BIG-Bench Hard | 75.1% | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |
Math Llama 4 Maverick leads
GPT-4: 10.1 (#304), Llama 4 Maverick: 24.6 (#256)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 20.6% |
| LMArena Math | 1269 | 1299 |
| MATH Level 5 | 23% | 73% |
| Omni-MATH | — | 42.2% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
| GSM8K | 92% | — |
Knowledge Llama 4 Maverick leads
GPT-4: 18.4 (#277), Llama 4 Maverick: 33.3 (#196)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 35.7% | 67% |
| LMArena Expert | 1211 | 1259 |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |
Multimodal Not comparable
GPT-4: —, Llama 4 Maverick: 30.9 (#100)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1141 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Llama 4 Maverick leads
GPT-4: 40.8 (#210), Llama 4 Maverick: 42.4 (#190)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1246 | 1269 |
| LMArena Chinese | 1242 | 1277 |
| LMArena French | 1282 | 1258 |
| LMArena German | 1251 | 1291 |
| LMArena Japanese | 1209 | 1207 |
| LMArena Korean | 1184 | 1203 |
| LMArena Russian | 1251 | 1286 |
| LMArena Spanish | 1261 | 1293 |
Instruction Following Llama 4 Maverick leads
GPT-4: 65.5 (#217), Llama 4 Maverick: 71.9 (#140)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1241 | 1267 |
| IFEval | — | 90.8% |
Long Context GPT-4 leads
GPT-4: 37.7 (#207), Llama 4 Maverick: 31.4 (#274)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1244 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Llama 4 Maverick leads
GPT-4: 35.0 (#263), Llama 4 Maverick: 39.0 (#247)
| Benchmark | GPT-4 | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1263 | 1287 |
| LMArena Creative Writing | 1244 | 1266 |
| EQ-Bench Creative Writing | 752 | 860 |
| LMArena Multi-Turn | 1257 | 1289 |
| Short-Story Creative Writing | — | 62% |
| WildBench | — | 80% |
Frequently asked questions
Is GPT-4 better than Llama 4 Maverick?
Llama 4 Maverick is the stronger model overall, scoring 30.6 to 28.9 on the Noometry Index.
Which is cheaper, GPT-4 or Llama 4 Maverick?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; GPT-4 lists at $30 and $60.
Is GPT-4 or Llama 4 Maverick better for coding?
GPT-4 scores higher on coding benchmarks: 31.2 versus 26.3 in the Noometry coding category.
Which has the bigger context window?
Llama 4 Maverick does, with 128K tokens against 8K.
How many benchmarks do GPT-4 and Llama 4 Maverick share?
28 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Llama 4 Maverick has 54.