mimo-v2.6-flash
Input price$0.14
Output price$0.28
XiaomiTextVisionAudio
mimo-v2.6-pro
mimo-v2.6-pro is Xiaomi's model at $0.43 input and $0.87 output per million tokens, with a 1050K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.54 per million tokens, placing it in the mid-range band of the 85 models tracked here — cheaper than 63% of them.
Context window1050K
Input price$0.435 / 1M
Output price$0.87 / 1M
Output speed—
Quality score—
Data updatedUpdated Sep 2026
Price verified2026-09-27 · Official
Price noteOverseas USD pricing (mainland China: ¥3 / ¥6). The Batch API is half price at $0.2175 / $0.435
By price, mimo-v2.6-pro ranks 35th cheapest of 85 on input and 25th on output.. Its blended rate sits 83% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $65 per month on mimo-v2.6-pro, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $84. Because output is priced 2.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 1050K context window holds roughly 1,400 pages of A4 text (at ~750 tokens per page), ranking 3rd of 85 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis.
We track 2 Xiaomi models, and mimo-v2.6-pro's blended rate sits 51% above that provider's average. If your task tolerates a little less headroom, Phi-4-mini (Microsoft) blends about 95% cheaper at a quality score of 68, and is worth benchmarking first. Going the other way, qwen3.7-flash scores 82 on quality for about 90% less.
The closest model in Xiaomi's line-up is mimo-v2.6-flash ($0.14 input / $0.28 output, quality —). Against it, mimo-v2.6-pro has a 1K larger context window, costs 68% more blended. When two models sit this close on price, the deciding factor is usually latency and throughput — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $65 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $84 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $70 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $418 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| mimo-v2.6-pro | Xiaomi | $0.54 | — | — |
| Phi-4-miniCheaper option | Microsoft | $0.025 | 68 | -95% |
| qwen3.7-flashHigher quality | Alibaba | $0.055 | 82 | -90% |
| mimo-v2.6-flashSame provider | Xiaomi | $0.18 | — | -68% |
Best for
ReasoningCodingLong ContextMultimodalAffordable
Modalities
TextVisionAudio
Where it fits — and where it doesn't
Good fit
- Coding: writing, refactoring and debugging across multi-file project context.
- Reasoning: multi-step decomposition, planning and tasks that need rigorous inference.
- Long documents: a 1050K window ingests a full contract, paper or large codebase in one pass.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- No obvious disqualifiers — still benchmark on your own data before committing.
Frequently asked questions
How much does the mimo-v2.6-pro API cost?
mimo-v2.6-pro costs $0.43 per million input tokens and $0.87 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.54 per million tokens.
What does mimo-v2.6-pro cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $65/month, RAG document Q&A about $84/month, a coding assistant about $70/month, and batch summarization about $418/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the mimo-v2.6-pro context window?
1050K tokens — roughly 1,400 pages of A4 text at ~750 tokens per page, ranking 3rd of the 85 models tracked here.
mimo-v2.6-pro or Phi-4-mini — which is better value?
Phi-4-mini blends to about $0.025 per million tokens versus $0.54 for mimo-v2.6-pro — roughly 95% cheaper — at a quality score of 68 against —. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with mimo-v2.6-pro. Benchmark both on your own data before deciding.
What is mimo-v2.6-pro best suited for?
Tagged use cases: reasoning, coding, long-context, multimodal, cheap. Coding: writing, refactoring and debugging across multi-file project context. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.
How current is this mimo-v2.6-pro pricing?
Pricing here was last verified on 2026-09-27 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Xiaomi's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
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Pricing, speed and quality scores change over time. Confirm official documentation before production use.