Analysis Summary
Meituan's LongCat 2.0 is a capable text model with a one-million-token context window, strong coding performance, and support for tool use and function calling. Its measured reasoning is below the leading general-purpose models, while its coding capability is substantially stronger than its broader intelligence profile suggests.
For businesses, it fits code assistance, structured SEO production, document processing, and workflows that require predictable tool invocation without demanding complex autonomy. The text-only modality limits its usefulness for visual content and multimodal document work, and its agentic performance is a clear constraint for multi-step automation.
Pricing is attractive for routine workloads, especially where long context matters. Adopt it as a value-oriented coding and automation model, not as the primary choice for difficult reasoning or high-stakes client-facing analysis.
Assessed August 9, 2026
Editorial notes
LongCat 2.0 combines good coding capability, a one-million-token context window, and tool and function calling at accessible pricing. Its weaker reasoning and agentic results make it better for structured production tasks than autonomous workflows.
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DFO Verdict
LongCat 2.0 combines good coding capability, a one-million-token context window, and tool and function calling at accessible pricing. Its weaker reasoning and agentic results make it better for structured production tasks than autonomous workflows.
How Meituan: LongCat 2.0 compares
Meituan: LongCat 2.0 ranks #101 of 427 AI models we track for overall intelligence, #78 of 200 for coding, #81 of 182 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.30 per million input tokens it is cheaper than 48% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
What would Meituan: LongCat 2.0 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meituan: LongCat 2.0 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meituan: LongCat 2.0
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..
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Frequently asked questions about Meituan: LongCat 2.0
How much does Meituan: LongCat 2.0 cost?
Meituan: LongCat 2.0 costs $0.30 per million input tokens and $1.20 per million output tokens.
What is the context window of Meituan: LongCat 2.0?
Meituan: LongCat 2.0 has a context window of 1,048,756 tokens (1M).
Is Meituan: LongCat 2.0 good for coding?
On our coding benchmark index, Meituan: LongCat 2.0 ranks #78 of 200 models, placing it in the broader range of the field for code generation and debugging.
What can Meituan: LongCat 2.0 do?
Meituan: LongCat 2.0 supports tool use and function calling.
Who created Meituan: LongCat 2.0?
Meituan: LongCat 2.0 is developed by Meituan and was released on July 20, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm