Model comparison
Gemini 4 Argon vs Llama 4 Maverick
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
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MetaSummary
- They share 15 benchmarks with published results for both. Gemini 4 Argon scores higher in 10 categories and Llama 4 Maverick in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 26.0.
- The biggest single-benchmark swing is SciCode: 61.8% for Gemini 4 Argon and 33.1% for Llama 4 Maverick.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.5 | 30.9 |
| Released | 2026-09-30 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 21 | 54 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| SciCode | 61.8% | 33.1% |
| LMArena Coding | 1550 | 1302 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Llama 4 Maverick: 28.2 (#91)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 37.3% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| CritPt | 27.1% | 0% |
| LMArena Hard Prompts | 1548 | 1281 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| EnigmaEval | — | 0.6% |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| Epoch Capabilities Index | — | 132.2 |
| ForecastBench | — | 57.5 |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Math | 1536 | 1299 |
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| ProofBench | 99% | — |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Expert | 1553 | 1259 |
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
Multimodal Gemini 4 Argon leads
Gemini 4 Argon: 46.5 (#14), Llama 4 Maverick: 31.6 (#105)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| Blueprint-Bench 2 | 54.4% | — |
| SpatialViz-Bench | — | 31.8% |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1523 | 1269 |
| LMArena Chinese | 1610 | 1277 |
| LMArena Russian | 1537 | 1286 |
| LMArena Spanish | 1497 | 1293 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1538 | 1267 |
| IFEval | — | 90.8% |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1549 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Gemini 4 Argon | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1534 | 1287 |
| LMArena Creative Writing | 1531 | 1267 |
| LMArena Multi-Turn | 1557 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Gemini 4 Argon better than Llama 4 Maverick?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.9 on the Noometry Index.
Is Gemini 4 Argon or Llama 4 Maverick better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 26.6 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Llama 4 Maverick share?
15 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 4 Maverick has 54.