As of August 21, 2026, LongCat-Flash-Chat API pricing is $0.30 per million input tokens and $1.20 per million output tokens. A typical 100K-in / 20K-out request costs $0.05. Source: https://anotherwrapper.com/tools/llm-pricing
Source: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)
Input $/M
$0.30
Output $/M
$1.20
Blended / 1M
$1.50
100K / 20K request
$0.05
| Context Window | 128K |
|---|---|
| Max Output | 128K tokens |
| Release Date | 2025-08-29 |
| Knowledge Cutoff | N/A |
| License | Open Source |
| Throughput | 100 tok/s |
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As of August 21, 2026, LongCat-Flash-Chat Meituan API pricing is $0.30 per million input tokens and $1.20 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://anotherwrapper.com/tools/llm-pricing
On this page the blended LongCat-Flash-Chat API cost is $1.50 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.10.
A typical LongCat-Flash-Chat API request with 100K input tokens and 20K output tokens costs about $0.05 at current rates as of August 21, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Meituan can bring the real invoice lower than the public list rate at https://anotherwrapper.com/tools/llm-pricing.
LongCat-Flash-Chat supports a 128K token context window and can generate up to 128K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. LongCat-Flash-Chat is an open-weight model by Meituan. You can download the weights and self-host, or pay Meituan's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
LongCat-Flash-Chat currently reports GPQA 73.2%, SWE-bench Verified 60.4%, LiveCodeBench 48.0%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
LongCat-Flash-Chat scores 60.4% on SWE-bench Verified. Pair that score with Meituan API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated LongCat-Flash-Chat vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut LongCat-Flash-Chat. Open-weight models can be cheaper still if you self-host, but that is not the same as Meituan API pricing on this page.
LongCat-Flash-Chat is called through Meituan's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Meituan and 5+ other providers with auth, payments, and deployment already configured.
This LongCat-Flash-Chat page tracks the latest published Meituan API pricing from Meituan, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://anotherwrapper.com/tools/llm-pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
LongCat-Flash-Chat has a measured throughput of about 100 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.
LongCat-Flash-Chat is a open-source model from Meituan. Current API pricing is $0.30 per million input tokens and $1.20 per million output tokens, with a 128K token context window. A blended 1M-in / 1M-out workload costs $1.50.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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