Model comparisons
MiMo V2.6 Flash bills 67% less than MiMo V2.6 Pro per million output tokens. Tier prices, request fields and limits side by side.
MiMo V2.6 Flash API brings Xiaomi’s high-frequency professional model to meeting digests, document extraction and mixed-media inboxes, with a 1,048,576-token input budget and text replies up to 131,072 tokens.
View model details →View sample outputs →MiMo V2.6 Pro API is Xiaomi’s flagship for complex projects and research: combine a protocol, source documents and media within 1,048,576 input tokens, then request a text analysis of up to 131,072 tokens.
View model details →View sample outputs →Compare
Start with the input you have, the result you want and your budget. These are the differences that affect that choice.
Compare the published examples, then try the same input on both models with matching settings.
The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.
| Measure | MiMo V2.6 Flash | MiMo V2.6 Pro |
|---|---|---|
| Spicy Index | 76.2 | 78.6 |
| Freedom Score | Not yet tested | Not yet tested |
| Evidence | — | — |
| Range if the rest pass | — | — |
| Price | $0.175 per 1M mixed tokens (3 input : 1 output) | $0.544 per 1M mixed tokens (3 input : 1 output) |
| Reviews | Read the MiMo V2.6 Flash review | Read the MiMo V2.6 Pro review |
Preliminary · freedom evidence pending
See both on the leaderboard →Current price
A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.
Swipe horizontally to compare all fields.
| Tier | MiMo V2.6 Flash | MiMo V2.6 Pro | Difference |
|---|---|---|---|
| Input | $0.14 / 1 million tokens | $0.435 / 1 million tokens | MiMo V2.6 Flash −67% |
| Cached input | $0.0028 / 1 million tokens | $0.0036 / 1 million tokens | MiMo V2.6 Flash −22% |
| Output | $0.28 / 1 million tokens | $0.87 / 1 million tokens | MiMo V2.6 Flash −67% |
Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.
About this comparison
Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.
Swipe horizontally to compare all fields.
| Controls and limits | MiMo V2.6 Flash | MiMo V2.6 Pro |
|---|---|---|
| Supported tasks | chat | chat |
| Input context | 1,048,576 tokens | 1,048,576 tokens |
| Maximum output | 131,072 tokens | 131,072 tokens |
| Tool calling | Yes | Yes |
| Execution | Synchronous, with streaming | Synchronous, with streaming |
| Request timeout | 10 minutes | 10 minutes |
| Availability | Live | Live |
Can I swap the model ID without changing the request body?
The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.
Compare
The model identifiers are xiaomi/mimo-v2.6-flash/chat and xiaomi/mimo-v2.6-pro/chat, and both go in the same field of the same request.
Both return the response on the chat request. With streaming enabled, read the stream until it finishes; there is no media task to poll.
Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.
One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.
Questions developers ask
MiMo V2.6 Flash costs 67% less per million output tokens. Compare the input and cache rates below for longer conversations. Prices may change; check the estimate shown for your actual settings before submitting.
MiMo V2.6 Flash allows 10 minutes per task and MiMo V2.6 Pro allows 10. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.
Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.