Which is cheaper, GPT-5.1 Thinking or MiMo-V2.5?
As of August 25, 2026, MiMo-V2.5 is 96% cheaper on blended LLM API pricing. MiMo-V2.5 costs $0.17 per million input tokens and $0.34 per million output tokens ($0.50 blended 1M-in + 1M-out). GPT-5.1 Thinking costs $1.25 / $10.00 per million tokens ($11.25 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-5.1 Thinking vs MiMo-V2.5 cost per million tokens?
GPT-5.1 Thinking OpenAI API pricing is $1.25 input and $10.00 output per million tokens via OpenAI. MiMo-V2.5 Xiaomi API pricing is $0.17 input and $0.34 output per million tokens via Xiaomi. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-5.1 Thinking or MiMo-V2.5?
GPT-5.1 Thinking leads on SWE-bench Verified: GPT-5.1 Thinking at 76.3% vs MiMo-V2.5 at 71%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
What is the context window for GPT-5.1 Thinking vs MiMo-V2.5?
GPT-5.1 Thinking supports a 400K token context window, while MiMo-V2.5 supports 1M tokens. MiMo-V2.5 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-5.1 Thinking or MiMo-V2.5?
GPT-5.1 Thinking leads on 2 of 2 shared benchmarks versus MiMo-V2.5'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-5.1 Thinking or MiMo-V2.5 better for production use?
Both GPT-5.1 Thinking and MiMo-V2.5 are production API models. For cost-sensitive production traffic, MiMo-V2.5 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-5.1 Thinking and MiMo-V2.5 in my app?
Yes. Call GPT-5.1 Thinking through OpenAI and MiMo-V2.5 through Xiaomi 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-5.1 Thinking vs MiMo-V2.5 pricing data?
List rates are the latest published OpenAI API pricing and Xiaomi 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-5.1 Thinking and MiMo-V2.5?
GPT-5.1 Thinking supports up to 128K output tokens per request, while MiMo-V2.5 supports up to 131K 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-5.1 Thinking or MiMo-V2.5?
GPT-5.1 Thinking runs at approximately 80 tokens/second while MiMo-V2.5 runs at 87 tokens/second. MiMo-V2.5 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-5.1 Thinking vs MiMo-V2.5 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.1 Thinking or MiMo-V2.5 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
