Model comparison
Gemini 1.5 Pro (May 2024) vs Llama 4 Scout
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 31.9 to 27.4 on the Noometry Index.
Last verified . 31 shared benchmarks.
Google
MetaSummary
- They share 31 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 8 categories and Llama 4 Scout in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.5 to 37.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 7.8% for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 31.9 | 27.4 |
| Released | 2024-02-15 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 45 | 43 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 33.8 (#239), Llama 4 Scout: 19.9 (#334)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1294 | 1286 |
| BigCodeBench Complete | 57.5% | 43.1% |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Llama 4 Scout leads
Gemini 1.5 Pro (May 2024): 17.8 (#137), Llama 4 Scout: 24.4 (#109)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 12.3 (#332), Llama 4 Scout: 9.2 (#339)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| ARC-AGI-2 | 0.8% | 0% |
| LMArena Hard Prompts | 1296 | 1266 |
| DTBench | 59% | 57.9% |
| Epoch Capabilities Index | 131.73 | 129.64 |
| ForecastBench | 58.4 | 57.5 |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| LMCA | — | 12% |
| BIG-Bench Hard | 89.2% | — |
Math Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 24.4 (#260), Llama 4 Scout: 18.4 (#280)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 7.8% |
| Omni-MATH | 36.4% | 37.3% |
| LMArena Math | 1315 | 1286 |
| MATH Level 5 | 70.4% | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Llama 4 Scout leads
Gemini 1.5 Pro (May 2024): 29.3 (#228), Llama 4 Scout: 31.8 (#208)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | 57.2% | 51.8% |
| MMLU-Pro | 73.7% | 74.2% |
| GPQA (HELM) | 53.4% | 50.7% |
| LMArena Expert | 1279 | 1236 |
| Humanity's Last Exam | 4.6% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 7.7% |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.2 (#72), Llama 4 Scout: 31.6 (#98)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 1161 | 1118 |
| Video-MME | 75% | — |
| SpatialViz-Bench | — | 34.2% |
Multilingual Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 45.5 (#169), Llama 4 Scout: 41.3 (#207)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1312 | 1253 |
| LMArena Chinese | 1331 | 1256 |
| LMArena French | 1301 | 1283 |
| LMArena German | 1286 | 1274 |
| LMArena Japanese | 1292 | 1209 |
| LMArena Korean | 1298 | 1207 |
| LMArena Russian | 1320 | 1263 |
| LMArena Spanish | 1310 | 1277 |
Instruction Following Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 68.8 (#180), Llama 4 Scout: 66.0 (#212)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| IFEval | 83.7% | 81.8% |
| LMArena Instruction Following | 1297 | 1248 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.7 (#164), Llama 4 Scout: 27.5 (#289)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1308 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.5 (#167), Llama 4 Scout: 37.1 (#256)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1319 | 1279 |
| LMArena Creative Writing | 1333 | 1249 |
| WildBench | 81.3% | 78% |
| LMArena Multi-Turn | 1296 | 1281 |
| EQ-Bench Creative Writing | — | 783 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Llama 4 Scout?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 31.9 to 27.4 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Llama 4 Scout better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 33.8 versus 19.9 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Llama 4 Scout share?
31 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Llama 4 Scout has 43.