Which is cheaper, Grok-4.1 Thinking or LongCat-Flash-Chat?
As of August 25, 2026, LongCat-Flash-Chat is 92% cheaper on blended LLM API pricing. LongCat-Flash-Chat costs $0.30 per million input tokens and $1.20 per million output tokens ($1.50 blended 1M-in + 1M-out). Grok-4.1 Thinking costs $3.00 / $15.00 per million tokens ($18.00 blended). Sources: https://docs.x.ai/docs/models 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 Grok-4.1 Thinking vs LongCat-Flash-Chat cost per million tokens?
Grok-4.1 Thinking xAI API pricing is $3.00 input and $15.00 output per million tokens via xAI. 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.
Which is better for coding, Grok-4.1 Thinking or LongCat-Flash-Chat?
LongCat-Flash-Chat has a published SWE-bench Verified score of 60.4%. Grok-4.1 Thinking does not have that eval on this page yet.
What is the context window for Grok-4.1 Thinking vs LongCat-Flash-Chat?
Grok-4.1 Thinking supports a 256K token context window, while LongCat-Flash-Chat supports 128K tokens. Grok-4.1 Thinking 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, Grok-4.1 Thinking or LongCat-Flash-Chat?
Shared benchmark scores for Grok-4.1 Thinking and LongCat-Flash-Chat are still limited. Check the comparison table for the evals each model has published. 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 Grok-4.1 Thinking or LongCat-Flash-Chat better for production use?
Both Grok-4.1 Thinking and LongCat-Flash-Chat are production API models. For cost-sensitive production traffic, LongCat-Flash-Chat 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 Grok-4.1 Thinking and LongCat-Flash-Chat in my app?
Yes. Call Grok-4.1 Thinking through xAI 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.
How accurate is this Grok-4.1 Thinking vs LongCat-Flash-Chat pricing data?
List rates are the latest published xAI API pricing and Meituan API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models 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 Grok-4.1 Thinking and LongCat-Flash-Chat?
Grok-4.1 Thinking supports up to 8K 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.
Which model has better throughput, Grok-4.1 Thinking or LongCat-Flash-Chat?
Grok-4.1 Thinking runs at approximately 80 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.
How do I switch the models in this Grok-4.1 Thinking vs LongCat-Flash-Chat comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-4.1 Thinking 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.
