Model comparison
Gemini 4 Argon vs Llama 4 Scout
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 27.7 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Gemini 4 Argon scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 19.6.
- The biggest single-benchmark swing is SciCode: 61.8% for Gemini 4 Argon and 17% for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.5 | 27.7 |
| Released | 2026-09-30 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 21 | 43 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Llama 4 Scout: 20.2 (#339)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| SciCode | 61.8% | 17% |
| LMArena Coding | 1550 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| BigCodeBench Complete | — | 43.1% |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Llama 4 Scout: 24.6 (#119)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 28.1% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Llama 4 Scout: 9.1 (#345)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| CritPt | 27.1% | 0% |
| LMArena Hard Prompts | 1548 | 1266 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
| ForecastBench | — | 57.5 |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Llama 4 Scout: 19.6 (#286)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1536 | 1287 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| ProofBench | 99% | — |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Llama 4 Scout: 31.9 (#217)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Expert | 1553 | 1235 |
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
Multimodal Gemini 4 Argon leads
Gemini 4 Argon: 46.5 (#14), Llama 4 Scout: 32.2 (#102)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| Blueprint-Bench 2 | 54.4% | — |
| SpatialViz-Bench | — | 34.2% |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Llama 4 Scout: 41.0 (#212)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1523 | 1252 |
| LMArena Chinese | 1610 | 1255 |
| LMArena Russian | 1537 | 1263 |
| LMArena Spanish | 1497 | 1278 |
| LMArena French | — | 1282 |
| LMArena German | — | 1272 |
| LMArena Japanese | — | 1206 |
| LMArena Korean | — | 1207 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Llama 4 Scout: 65.8 (#217)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1538 | 1248 |
| IFEval | — | 81.8% |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Llama 4 Scout: 27.5 (#294)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1549 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Llama 4 Scout: 37.0 (#261)
| Benchmark | Gemini 4 Argon | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1534 | 1279 |
| LMArena Creative Writing | 1531 | 1249 |
| LMArena Multi-Turn | 1557 | 1280 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |
Frequently asked questions
Is Gemini 4 Argon better than Llama 4 Scout?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 27.7 on the Noometry Index.
Is Gemini 4 Argon or Llama 4 Scout better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Llama 4 Scout share?
15 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 4 Scout has 43.