Model comparison
Llama 4 Scout vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 27.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. Llama 4 Scout scores higher in 0 categories and Longcat Flash Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Longcat Flash Chat leads 61.2 to 37.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 36.9% for Llama 4 Scout and 43.9% for Longcat Flash Chat.
Side by side
| Llama 4 Scout | Longcat Flash Chat | |
|---|---|---|
| Provider | Meta | Meituan |
| Noometry Index | 27.4 | 41.5 |
| Released | 2025-04-05 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 43 | 19 |
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Category by category
Coding Longcat Flash Chat leads
Llama 4 Scout: 19.9 (#334), Longcat Flash Chat: 42.9 (#85)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1286 | 1471 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.4 (#109), Longcat Flash Chat: —
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Longcat Flash Chat leads
Llama 4 Scout: 9.2 (#339), Longcat Flash Chat: 18.3 (#267)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 36.9% | 43.9% |
| LMArena Hard Prompts | 1266 | 1440 |
| ARC-AGI-2 | 0% | — |
| NYT Connections (extended) | — | 17.7% |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math Longcat Flash Chat leads
Llama 4 Scout: 18.4 (#280), Longcat Flash Chat: 36.6 (#107)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1286 | 1441 |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Longcat Flash Chat leads
Llama 4 Scout: 31.8 (#208), Longcat Flash Chat: 40.0 (#111)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1236 | 1454 |
| GPQA Diamond | 51.8% | — |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
Llama 4 Scout: 31.6 (#98), Longcat Flash Chat: —
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Longcat Flash Chat leads
Llama 4 Scout: 41.3 (#207), Longcat Flash Chat: 52.1 (#95)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1253 | 1404 |
| LMArena Chinese | 1256 | 1465 |
| LMArena French | 1283 | 1457 |
| LMArena German | 1274 | 1409 |
| LMArena Japanese | 1209 | 1373 |
| LMArena Korean | 1207 | 1372 |
| LMArena Russian | 1263 | 1396 |
| LMArena Spanish | 1277 | 1445 |
Instruction Following Longcat Flash Chat leads
Llama 4 Scout: 66.0 (#212), Longcat Flash Chat: 74.6 (#92)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1248 | 1411 |
| IFEval | 81.8% | — |
Long Context Longcat Flash Chat leads
Llama 4 Scout: 27.5 (#289), Longcat Flash Chat: 43.5 (#89)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1265 | 1425 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Longcat Flash Chat leads
Llama 4 Scout: 37.1 (#256), Longcat Flash Chat: 61.2 (#88)
| Benchmark | Llama 4 Scout | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1279 | 1427 |
| LMArena Creative Writing | 1249 | 1388 |
| LMArena Multi-Turn | 1281 | 1418 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 27.4 on the Noometry Index.
Is Llama 4 Scout or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 19.9 in the Noometry coding category.
How many benchmarks do Llama 4 Scout and Longcat Flash Chat share?
18 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Longcat Flash Chat has 19.