Xiaomi: MiMo-V2.6-Flash
MiMo-V2.6-Flash is a reasoning model from Xiaomi released on Sep 22, 2026. It reads text, images, audio and video and writes text, with a 1.05M token context window and up to 131K tokens per reply.
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It costs $0.14 per million input tokens and $0.28 per million output tokens. Cached input bills at $0.0028, 98% less than fresh input.
It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.
17 providers serve it, including Deep Infra, Novita AI and Vercel AI Gateway. The lowest input price is $0.10 per million tokens at Kilo Gateway.
On the Artificial Analysis Intelligence Index it scores 37.9, which places it at number 20 among the 43 models I track with independent scores.
- Modalities
- In / out price
- $0.14 / $0.28 per 1M
- Context
- 1.05M
- Max output
- 131K
- Released
- Sep 22, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
MiMo-V2.6-Flash pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.14 / 1M tokens | |
|---|---|---|
| Output | $0.28 / 1M tokens | |
| Cached input (read) | $0.0028 / 1M tokens | 98% off input |
MiMo-V2.6-Flash providers
17 providers serve it, including Deep Infra, Novita AI and Vercel AI Gateway. The lowest input price is $0.10 per million tokens at Kilo Gateway. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Xiaomi First party | $0.14 | $0.28 | $0.0028 | 1.05M | 131K |
| Deep Infra | $0.14 | $0.28 | $0.0028 | 1.05M | 131K |
| Novita AI | $0.14 | $0.28 | $0.0028 | 1.05M | 131K |
| Vercel AI Gateway | $0.14 | $0.28 | $0.0028 | 1.05M | 131K |
| Kilo Gateway | $0.10 | $0.28 | $0.05 | 1.05M | 131K |
| Vultr | $0.10 | $0.25 | – | 1.05M | 131K |
| DevPass (LLM Gateway) | $0.12 | $0.25 | $0.0025 | 1.05M | 131K |
| LLM Gateway | $0.12 | $0.25 | $0.0025 | 1.05M | 131K |
| EmpirioLabs AI | $0.14 | $0.28 | $0.14 | 1M | 131K |
| NanoGPT | $0.14 | $0.28 | $0.0028 | 1.05M | 131K |
| Requesty | $0.14 | $0.28 | $0.0027 | 1.05M | 131K |
| Tempr Gateway | $0.14 | $0.28 | $0.0028 | 1.05M | 131K |
Showing 12 of 17 providers: the lab first, then the major clouds, then the cheapest resellers.
What MiMo-V2.6-Flash costs per month
Pick a workload close to yours or type your own volumes.
Independent benchmarks
Measured by third parties, not reported by Xiaomi. Each links to its source and shows the date I checked it.
A composite of 10 independent evaluations (agents 30%, coding 20%, scientific reasoning 20%, general 30%), run by Artificial Analysis on each model, version 4.3.2.
Artificial Analysis, checked Oct 10, 2026
Human preference: people compare two anonymous answers and pick the better one. Ratings from the Text Arena overall board, style control on.
Arena (formerly LMArena), checked Oct 10, 2026
Median output tokens per second measured by Artificial Analysis on the provider API, for the same model setting as its index score.
Artificial Analysis, checked Oct 10, 2026
Benchmarks Xiaomi reports (6)
- terminal-bench-2.1 (Terminal Bench 2.1)87.6%
- terminal-bench-4.0 (Terminal Bench 4.0)28.8%
- deepswe-v1.1 (DeepSWE v1.1)67.9%
- osworld-verified (OSWorld-Verified)80.8%
- automationbench (AutomationBench v1.0.6)52.3%
- cybergym (CyberGym)95.1%
Labs pick their own settings and harnesses, so compare these only within one lab.
Supported request parameters
What you can set when you call MiMo-V2.6-Flash through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
Alternatives to MiMo-V2.6-Flash
Models that take the same inputs and call tools, closest in price, cheaper ones first.
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 23 providers.
by googleJun 17, 2025$0.10/M input tokens$0.40/M output tokens23 providers
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Reads text, images, audio and video. Tool calling, structured output, reasoning. Served by 21 providers.
by xiaomiApr 22, 2026$0.14/M input tokens$0.28/M output tokens21 providers
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by nvidiaApr 28, 2026$0.10/M input tokens$0.25/M output tokens7 providers
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by metaSep 2, 2026$0.10/M input tokens$0.20/M output tokens4 providers
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by metaAug 5, 2026$0.10/M input tokens$0.20/M output tokens4 providers
- 1M context
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by qwenSep 17, 2026$0.15/M input tokens$0.47/M output tokens9 providers
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- Index 46.3
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Reads text, images, audio and video. Tool calling, structured output, reasoning. Served by 21 providers.
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MiMo-V2.6-Flash questions
How much does the MiMo-V2.6-Flash API cost?
$0.14 per million input tokens and $0.28 per million output tokens, with cached input at $0.0028. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of MiMo-V2.6-Flash?
1,048,576 tokens of input, and it can write up to 131,072 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve MiMo-V2.6-Flash?
17 providers serve it, including Deep Infra, Novita AI and Vercel AI Gateway. The lowest input price is $0.10 per million tokens at Kilo Gateway. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does MiMo-V2.6-Flash support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is MiMo-V2.6-Flash open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was MiMo-V2.6-Flash released?
Sep 22, 2026.
How good is MiMo-V2.6-Flash compared with other models?
It scores 37.9 on the Artificial Analysis Intelligence Index and 1451 on the Arena text leaderboard. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.
Building on MiMo-V2.6-Flash?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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