Which is cheaper, MAI-Thinking-1 or MiniMax M1 40K?
As of August 30, 2026, MAI-Thinking-1 is 73% cheaper on blended LLM API pricing. MAI-Thinking-1 costs $0.15 per million input tokens and $0.60 per million output tokens ($0.75 blended 1M-in + 1M-out). MiniMax M1 40K costs $0.55 / $2.20 per million tokens ($2.75 blended). Sources: https://azure.microsoft.com/pricing/details/azure-openai-service/ and https://openrouter.ai/minimax/minimax-m1. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does MAI-Thinking-1 vs MiniMax M1 40K cost per million tokens?
MAI-Thinking-1 Microsoft API pricing is $0.15 input and $0.60 output per million tokens via Microsoft. MiniMax M1 40K OpenRouter API pricing is $0.55 input and $2.20 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, MAI-Thinking-1 or MiniMax M1 40K?
MAI-Thinking-1 leads on SWE-bench Verified: MAI-Thinking-1 at 73.5% vs MiniMax M1 40K at 55.6%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
What is the context window for MAI-Thinking-1 vs MiniMax M1 40K?
MAI-Thinking-1 supports a 128K token context window, while MiniMax M1 40K supports 41K tokens. MAI-Thinking-1 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, MAI-Thinking-1 or MiniMax M1 40K?
MAI-Thinking-1 leads on 5 of 5 shared benchmarks versus MiniMax M1 40K'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 MAI-Thinking-1 or MiniMax M1 40K better for production use?
Both MAI-Thinking-1 and MiniMax M1 40K are production API models. For cost-sensitive production traffic, MAI-Thinking-1 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 MAI-Thinking-1 and MiniMax M1 40K in my app?
Yes. Call MAI-Thinking-1 through Microsoft and MiniMax M1 40K through OpenRouter 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 MAI-Thinking-1 vs MiniMax M1 40K pricing data?
List rates are the latest published Microsoft API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://azure.microsoft.com/pricing/details/azure-openai-service/ and https://openrouter.ai/minimax/minimax-m1. 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 MAI-Thinking-1 and MiniMax M1 40K?
MAI-Thinking-1 supports up to an unspecified number of output tokens per request, while MiniMax M1 40K supports up to an unspecified number of 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, MAI-Thinking-1 or MiniMax M1 40K?
Neither MAI-Thinking-1 nor MiniMax M1 40K has published throughput data on this page yet. 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 MAI-Thinking-1 vs MiniMax M1 40K comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MAI-Thinking-1 or MiniMax M1 40K from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
