As of August 21, 2026, Llama 4 Scout is 75% cheaper per million tokens than LongCat-Flash-Chat. Llama 4 Scout is $0.08 / $0.30 per million input/output tokens versus LongCat-Flash-Chat at $0.30 / $1.20. Sources: https://llama.meta.com/ and https://anotherwrapper.com/tools/llm-pricing
Sources: Meta pricing (https://llama.meta.com/); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)
Llama 4 Scout
Meta
Input
$0.08
Output
$0.30
LongCat-Flash-Chat
Meituan
Input
$0.30
Output
$1.20
Token pricing, specs, and benchmarks side by side
Llama 4 ScoutLongCat-Flash-ChatVerdict
Llama 4 Scout offers significantly lower pricing, while LongCat-Flash-Chat leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 21, 2026, Llama 4 Scout is 75% cheaper on blended LLM API pricing. Llama 4 Scout costs $0.08 per million input tokens and $0.30 per million output tokens ($0.38 blended 1M-in + 1M-out). LongCat-Flash-Chat costs $0.30 / $1.20 per million tokens ($1.50 blended). Sources: https://llama.meta.com/ and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. LongCat-Flash-Chat Meituan API pricing is $0.30 input and $1.20 output per million tokens via Meituan. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
LongCat-Flash-Chat has a published SWE-bench Verified score of 60.4%. Llama 4 Scout does not have that eval on this page yet.
Llama 4 Scout supports a 10M token context window, while LongCat-Flash-Chat supports 128K tokens. Llama 4 Scout offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
LongCat-Flash-Chat leads on 4 of 4 shared benchmarks versus Llama 4 Scout's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Llama 4 Scout and LongCat-Flash-Chat are production API models. For cost-sensitive production traffic, Llama 4 Scout has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Llama 4 Scout through Meta and LongCat-Flash-Chat through Meituan with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Meta API pricing and Meituan API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://anotherwrapper.com/tools/llm-pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Llama 4 Scout supports up to 10M output tokens per request, while LongCat-Flash-Chat supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Llama 4 Scout runs at approximately 76.1 tokens/second while LongCat-Flash-Chat runs at 100 tokens/second. LongCat-Flash-Chat is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 4 Scout or LongCat-Flash-Chat from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 4 Scout costs $0.08/M input and $0.30/M output. LongCat-Flash-Chat costs $0.30/M input and $1.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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