As of August 20, 2026, MiMo-V2.5-Pro is 7% cheaper per million tokens than MAI-Code-1.1-Flash. MAI-Code-1.1-Flash is $0.20 / $1.20 per million input/output tokens versus MiMo-V2.5-Pro at $0.43 / $0.87. Sources: https://ai.azure.com and https://anotherwrapper.com/tools/llm-pricing
Sources: Microsoft pricing (https://ai.azure.com); AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)
MAI-Code-1.1-Flash
Microsoft
Input
$0.20
Output
$1.20
MiMo-V2.5-Pro
Xiaomi
Input
$0.43
Output
$0.87
Token pricing, specs, and benchmarks side by side
MAI-Code-1.1-FlashMiMo-V2.5-ProVerdict
Both models are closely matched on benchmarks. MiMo-V2.5-Pro has the pricing advantage, making it the better value unless MAI-Code-1.1-Flash's specific capabilities are critical to your workflow.
As of August 20, 2026, MiMo-V2.5-Pro is 7% cheaper on blended LLM API pricing. MiMo-V2.5-Pro costs $0.43 per million input tokens and $0.87 per million output tokens ($1.30 blended 1M-in + 1M-out). MAI-Code-1.1-Flash costs $0.20 / $1.20 per million tokens ($1.40 blended). Sources: https://ai.azure.com and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
MAI-Code-1.1-Flash Microsoft API pricing is $0.20 input and $1.20 output per million tokens via Microsoft. MiMo-V2.5-Pro Xiaomi API pricing is $0.43 input and $0.87 output per million tokens via Xiaomi. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
MiMo-V2.5-Pro leads on SWE-bench Verified: MAI-Code-1.1-Flash at 72.6% vs MiMo-V2.5-Pro at 78.9%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
MAI-Code-1.1-Flash supports a 256K token context window, while MiMo-V2.5-Pro supports 1M tokens. MiMo-V2.5-Pro 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.
MAI-Code-1.1-Flash and MiMo-V2.5-Pro are tied across 2 shared benchmarks. Check the table for category-level strengths. 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.
Both MAI-Code-1.1-Flash and MiMo-V2.5-Pro are production API models. For cost-sensitive production traffic, MiMo-V2.5-Pro 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.
Yes. Call MAI-Code-1.1-Flash through Microsoft and MiMo-V2.5-Pro 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.
List rates are the latest published Microsoft API pricing and Xiaomi API pricing, quoted per million tokens. Official rate sheets: https://ai.azure.com 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.
MAI-Code-1.1-Flash supports up to an unspecified number of output tokens per request, while MiMo-V2.5-Pro 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.
Neither MAI-Code-1.1-Flash nor MiMo-V2.5-Pro 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.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MAI-Code-1.1-Flash or MiMo-V2.5-Pro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. MAI-Code-1.1-Flash costs $0.20/M input and $1.20/M output. MiMo-V2.5-Pro costs $0.43/M input and $0.87/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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