Meituan model product
LongCat-Flash-Chat is Meituan's first open-source foundation model, a 560B parameter Mixture-of-Experts (MoE) model that dynamically activates 18.6B-31.3B parameters (~27B average) based on contextual demands. It features Zero-Computation Experts for efficient routing and supports 128K context. Optimized for conversational and agentic tasks, it shows competitive performance across reasoning, coding, instruction following, and domain benchmarks with particular strengths in tool use and complex multi-step interactions. Achieves over 100 tokens per second on H800 GPUs.
Updated Aug 10, 2026. Default version: LongCat-Flash-Chat
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version LongCat-Flash-Chat.
| CMMLU | 0.8 | 3 | 6 | 60.0% | C | |
| ZebraLogic | 0.9 | 4 | 8 | 57.1% | C | |
| Terminal-Bench | 0.4 | 9 | 25 | 66.7% | C | |
| MMLU | 0.9 | 12 | 100 | 88.9% | C | |
| MATH-500 | 1.0 | 13 | 32 | 61.3% | C | |
| Tau2 Airline | 0.6 | 13 | 23 | 45.5% | C | |
| DROP | 0.8 | 16 | 30 | 48.3% | C | |
| Tau2 Retail | 0.7 | 19 | 26 | 28.0% | C | |
| IFEval | 0.9 | 20 | 65 | 70.3% | C | |
| HumanEval | 0.9 | 21 | 76 | 73.3% | C | |
| Tau2 Telecom | 0.7 | 24 | 35 | 32.4% | C | |
| MMLU-Pro | 0.8 | 33 | 129 | 75.0% | C | |
| LiveCodeBench | 0.5 | 48 | 73 | 34.7% | C | |
| SWE-Bench Verified | 0.6 | 78 | 104 | 25.2% | C | |
| AIME 2025 | 0.6 | 97 | 114 | 15.0% | C | |
| GPQA | 0.7 | 116 | 233 | 50.4% | C |
Preference and agent-evaluation signals from published Arena datasets.
| text | industry medicine and healthcare | 38 | 1462.5 | 667 | N/A | |
| text | french | 50 | 1459.0 | 164 | N/A | |
| text | coding | 53 | 1467.8 | 2,233 | N/A | |
| text | spanish | 58 | 1444.0 | 363 | N/A | |
| text | math | 62 | 1440.0 | 687 | N/A | |
| text | industry business and management and financial operations | 64 | 1428.5 | 2,170 | N/A | |
| text | industry mathematical | 65 | 1441.9 | 544 | N/A | |
| text | industry software and it services | 66 | 1458.7 | 3,904 | N/A | |
| text | hard prompts english | 77 | 1444.9 | 2,853 | N/A | |
| text | english | 78 | 1440.2 | 5,366 | N/A | |
| text | expert | 81 | 1438.1 | 517 | N/A | |
| text | german | 86 | 1415.9 | 273 | N/A | |
| text | hard prompts | 87 | 1432.8 | 5,576 | N/A | |
| text | overall | 89 | 1422.1 | 11,379 | N/A | |
| text | exclude ties | 91 | 1411.0 | 8,059 | N/A | |
| text | polish | 95 | 1407.1 | 640 | N/A | |
| text style control | coding | 96 | 1473.9 | 2,233 | N/A | |
| text | korean | 99 | 1360.9 | 287 | N/A | |
| text style control | industry medicine and healthcare | 99 | 1444.3 | 667 | N/A | |
| text style control | spanish | 102 | 1409.6 | 363 | N/A | |
| text style control | french | 105 | 1432.8 | 164 | N/A | |
| text style control | industry business and management and financial operations | 105 | 1417.5 | 2,170 | N/A | |
| text | non english | 109 | 1401.2 | 6,013 | N/A | |
| text | industry life and physical and social science | 110 | 1427.0 | 1,704 | N/A | |
| text | instruction following | 110 | 1397.8 | 2,955 | N/A | |
| text style control | math | 111 | 1415.0 | 687 | N/A | |
| text style control | industry mathematical | 112 | 1420.9 | 544 | N/A | |
| text style control | industry software and it services | 114 | 1452.3 | 3,904 | N/A | |
| text | industry legal and government | 116 | 1416.2 | 779 | N/A | |
| text style control | hard prompts english | 119 | 1439.0 | 2,853 | N/A | |
| text style control | english | 124 | 1422.2 | 5,366 | N/A | |
| text style control | german | 124 | 1384.8 | 273 | N/A | |
| text | chinese | 125 | 1431.9 | 679 | N/A | |
| text | japanese | 125 | 1309.4 | 163 | N/A | |
| text | multi turn | 127 | 1403.1 | 2,023 | N/A | |
| text | russian | 127 | 1386.8 | 690 | N/A | |
| text style control | hard prompts | 127 | 1426.2 | 5,576 | N/A | |
| text style control | expert | 128 | 1421.6 | 517 | N/A | |
| text | industry entertainment and sports and media | 130 | 1360.3 | 1,957 | N/A | |
| text style control | overall | 136 | 1400.8 | 11,379 | N/A | |
| text style control | instruction following | 136 | 1388.7 | 2,955 | N/A | |
| text style control | exclude ties | 138 | 1381.7 | 8,059 | N/A | |
| text | longer query | 139 | 1390.8 | 2,341 | N/A | |
| text | industry writing and literature and language | 141 | 1367.5 | 2,498 | N/A | |
| text style control | polish | 141 | 1369.3 | 640 | N/A | |
| text style control | korean | 143 | 1325.8 | 287 | N/A | |
| text style control | chinese | 144 | 1420.8 | 679 | N/A | |
| text style control | non english | 146 | 1376.6 | 6,013 | N/A | |
| text | creative writing | 147 | 1344.9 | 1,374 | N/A | |
| text style control | industry life and physical and social science | 148 | 1406.6 | 1,704 | N/A | |
| text style control | multi turn | 149 | 1392.5 | 2,023 | N/A | |
| text style control | japanese | 154 | 1287.3 | 163 | N/A | |
| text style control | industry legal and government | 158 | 1393.7 | 779 | N/A | |
| text style control | russian | 158 | 1371.6 | 690 | N/A | |
| text style control | longer query | 159 | 1384.6 | 2,341 | N/A | |
| text style control | industry writing and literature and language | 165 | 1354.7 | 2,498 | N/A | |
| text style control | industry entertainment and sports and media | 166 | 1339.1 | 1,957 | N/A | |
| text style control | creative writing | 178 | 1328.6 | 1,374 | N/A |
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
The default version has no provider offering with current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| LongCat-Flash-Chat | 52.8 | 560B | 128K | 128K | No | MIT |
A concise description based on the published model registry.
LongCat-Flash-Chat is Meituan's first open-source foundation model, a 560B parameter Mixture-of-Experts (MoE) model that dynamically activates 18.6B-31.3B parameters (~27B average) based on contextual demands. It features Zero-Computation Experts for efficient routing and supports 128K context. Optimized for conversational and agentic tasks, it shows competitive performance across reasoning, coding, instruction following, and domain benchmarks with particular strengths in tool use and complex multi-step interactions. Achieves over 100 tokens per second on H800 GPUs.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about LongCat Flash Chat.
LongCat Flash Chat's default version was released on Aug 29, 2025.
No official standard PAYG price is currently available for LongCat Flash Chat.
LongCat Flash Chat is published under Meituan in the model registry.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
No published provider offering is currently linked to the default version.
Nearby ranked alternatives include Qwen2.5 72B, Gemini 2.0 Flash, Sarvam 105B.