Context
1.0M tokens (~524 books)
Input $/1M
$0.30
Output $/1M
$1.20
Type
text
License
Proprietary
Benchmarks
7 tested
Data as of
About
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
Tested on 7 benchmarks. Top scores: Artificial Analysis · GPQA Diamond (78.0%), Artificial Analysis · Long Context Reasoning (65.0%), Artificial Analysis · SciCode (36.3%).
Capabilities
speed
36.1
#72 globally
Benchmark Scores
Compare AllTested on 7 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
speedCompare speed →
Quick compare:
vs Qwen3 Coder Next FP8
vs Qwen2.5 Coder 32B Instruct AWQ
P
vs Speaker Diarization Community 1 Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
longcat-2-0
Specifications
- Typetext
- Context1.0M tokens (~524 books)
- ReleasedJul 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.002
Available On
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Frequently Asked Questions
LongCat 2.0 is a proprietary text AI model by meituan, released in July 2026. Context window: 1M tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenKey facts · as of 2026-10-05
- LongCat 2.0 by meituan. Not enough public benchmark scores to rank yet.
- List price $0.30 input · $1.20 output per 1M tokens (as of 2026-10-05).
- Sold by 1 provider (as of 2026-10-05): AtlasCloud (fp8) $0.30 in / $1.20 out.
How to cite · data as of 2026-10-05
LongCat 2.0 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/longcat-2-0
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP