Model comparison
Gemini 2.0 Flash (Feb 2025) vs Llama 4 Scout
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 27.7 on the Noometry Index.
Last verified . 35 shared benchmarks.
Google
MetaSummary
- They share 35 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 10 categories and Llama 4 Scout in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 37.9 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 7.8% for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 35.1 | 27.7 |
| Released | 2024-12-06 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 54 | 43 |
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Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Llama 4 Scout: 20.2 (#339)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | 9.1% |
| LMArena Coding | 1350 | 1286 |
| BigCodeBench Complete | 59.9% | 43.1% |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 17% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| CadEval | 30% | — |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Llama 4 Scout: 24.6 (#119)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
| TheAgentCompany | 11.4% | — |
Reasoning Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Llama 4 Scout: 9.1 (#345)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| ARC-AGI-2 | 1.3% | 0% |
| Kagi LLM Benchmark | 37.8% | 36.9% |
| LMArena Hard Prompts | 1346 | 1266 |
| DTBench | 63.2% | 57.9% |
| Epoch Capabilities Index | 135.36 | 129.64 |
| SimpleBench | 31.1% | — |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 12% |
| ForecastBench | — | 57.5 |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Llama 4 Scout: 19.6 (#286)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 7.8% |
| Omni-MATH | 45.9% | 37.3% |
| LMArena Math | 1352 | 1287 |
| MATH Level 5 | 82.2% | 62.3% |
| FrontierMath (Feb 2025 set) | 1.7% | 0% |
| LiveBench Math | 75.8% | — |
Knowledge Too close to call
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Llama 4 Scout: 31.9 (#217)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | 64.1% | 51.8% |
| MMLU-Pro | 73.7% | 74.2% |
| GPQA (HELM) | 55.6% | 50.7% |
| LMArena Expert | 1339 | 1235 |
| Humanity's Last Exam | 6.6% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 7.7% |
| MMLU | 79.7% | — |
Multimodal Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Llama 4 Scout: 32.2 (#102)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 1158 | 1118 |
| GeoBench | 77% | — |
| SpatialViz-Bench | — | 34.2% |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Llama 4 Scout: 41.0 (#212)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1342 | 1252 |
| LMArena Chinese | 1373 | 1255 |
| LMArena French | 1391 | 1282 |
| LMArena German | 1353 | 1272 |
| LMArena Japanese | 1294 | 1206 |
| LMArena Korean | 1313 | 1207 |
| LMArena Russian | 1351 | 1263 |
| LMArena Spanish | 1363 | 1278 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Llama 4 Scout: 65.8 (#217)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| IFEval | 84.1% | 81.8% |
| LMArena Instruction Following | 1336 | 1248 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Llama 4 Scout: 27.5 (#294)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| Fiction.LiveBench | 61.1% | 36% |
| LMArena Longer Query | 1344 | 1265 |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Llama 4 Scout: 37.0 (#261)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1354 | 1279 |
| LMArena Creative Writing | 1340 | 1249 |
| EQ-Bench Creative Writing | 1128 | 783 |
| WildBench | 80% | 78% |
| LMArena Multi-Turn | 1350 | 1280 |
| Short-Story Creative Writing | 73.8% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Llama 4 Scout?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 27.7 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Llama 4 Scout better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.4 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Llama 4 Scout share?
35 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Llama 4 Scout has 43.