Which is cheaper, GPT-5.6 Luna or LongCat-Flash-Lite?
As of August 20, 2026, LongCat-Flash-Lite is 64% cheaper on blended LLM API pricing. LongCat-Flash-Lite costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). GPT-5.6 Luna costs $0.20 / $1.20 per million tokens ($1.40 blended). Sources: https://developers.openai.com/api/docs/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GPT-5.6 Luna vs LongCat-Flash-Lite cost per million tokens?
GPT-5.6 Luna OpenAI API pricing is $0.20 input and $1.20 output per million tokens via OpenAI. LongCat-Flash-Lite Meituan API pricing is $0.10 input and $0.40 output per million tokens via Meituan. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-5.6 Luna or LongCat-Flash-Lite?
GPT-5.6 Luna leads on SWE-bench Verified: GPT-5.6 Luna at 93% vs LongCat-Flash-Lite at 54.4%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
What is the context window for GPT-5.6 Luna vs LongCat-Flash-Lite?
GPT-5.6 Luna supports a 1M token context window, while LongCat-Flash-Lite supports 256K tokens. GPT-5.6 Luna 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.
Which model performs better on benchmarks, GPT-5.6 Luna or LongCat-Flash-Lite?
GPT-5.6 Luna leads on 3 of 4 shared benchmarks versus LongCat-Flash-Lite's 1 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.
Is GPT-5.6 Luna or LongCat-Flash-Lite better for production use?
Both GPT-5.6 Luna and LongCat-Flash-Lite are production API models. For cost-sensitive production traffic, LongCat-Flash-Lite 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.
Can I switch between GPT-5.6 Luna and LongCat-Flash-Lite in my app?
Yes. Call GPT-5.6 Luna through OpenAI and LongCat-Flash-Lite 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.
How accurate is this GPT-5.6 Luna vs LongCat-Flash-Lite pricing data?
List rates are the latest published OpenAI API pricing and Meituan API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing 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.
What is the output token limit for GPT-5.6 Luna and LongCat-Flash-Lite?
GPT-5.6 Luna supports up to 128K output tokens per request, while LongCat-Flash-Lite 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.
Which model has better throughput, GPT-5.6 Luna or LongCat-Flash-Lite?
GPT-5.6 Luna runs at approximately 48.45216448188169 tokens/second while LongCat-Flash-Lite runs at 500 tokens/second. LongCat-Flash-Lite 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.
How do I switch the models in this GPT-5.6 Luna vs LongCat-Flash-Lite comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.6 Luna or LongCat-Flash-Lite from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
