Which is cheaper, GPT-4 Turbo or LongCat-Flash-Thinking-2601?
As of August 20, 2026, LongCat-Flash-Thinking-2601 is 96% cheaper on blended LLM API pricing. LongCat-Flash-Thinking-2601 costs $0.30 per million input tokens and $1.20 per million output tokens ($1.50 blended 1M-in + 1M-out). GPT-4 Turbo costs $10.00 / $30.00 per million tokens ($40.00 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-4 Turbo vs LongCat-Flash-Thinking-2601 cost per million tokens?
GPT-4 Turbo OpenAI API pricing is $10.00 input and $30.00 output per million tokens via OpenAI. LongCat-Flash-Thinking-2601 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, GPT-4 Turbo or LongCat-Flash-Thinking-2601?
LongCat-Flash-Thinking-2601 has a published SWE-bench Verified score of 70%. GPT-4 Turbo does not have that eval on this page yet.
What is the context window for GPT-4 Turbo vs LongCat-Flash-Thinking-2601?
GPT-4 Turbo supports a 128K token context window, while LongCat-Flash-Thinking-2601 supports 128K tokens. Both models have the same context window size. 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-4 Turbo or LongCat-Flash-Thinking-2601?
LongCat-Flash-Thinking-2601 leads on 2 of 2 shared benchmarks versus GPT-4 Turbo'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.
Is GPT-4 Turbo or LongCat-Flash-Thinking-2601 better for production use?
Both GPT-4 Turbo and LongCat-Flash-Thinking-2601 are production API models. For cost-sensitive production traffic, LongCat-Flash-Thinking-2601 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-4 Turbo and LongCat-Flash-Thinking-2601 in my app?
Yes. Call GPT-4 Turbo through OpenAI and LongCat-Flash-Thinking-2601 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-4 Turbo vs LongCat-Flash-Thinking-2601 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-4 Turbo and LongCat-Flash-Thinking-2601?
GPT-4 Turbo supports up to 4K output tokens per request, while LongCat-Flash-Thinking-2601 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-4 Turbo or LongCat-Flash-Thinking-2601?
GPT-4 Turbo runs at approximately 100 tokens/second while LongCat-Flash-Thinking-2601 runs at 100 tokens/second. LongCat-Flash-Thinking-2601 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-4 Turbo vs LongCat-Flash-Thinking-2601 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-4 Turbo or LongCat-Flash-Thinking-2601 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
