MiMo V2.6 Flash Review: $0.14 per Million, Four Input Types, 1M Tokens
Pick MiMo V2.6 Flash for high-volume multimodal jobs on a small budget, and set reasoning_effort none on simple ones; so far we have run only launch checks.
Freedom Score
Not yet tested
- Price
- $0.175 per 1M mixed tokens (3 input : 1 output)
- Output speed
- 120 tok/s
- Success rate
- Collecting data
MiMo V2.6 Flash is the lighter model in Xiaomi's V2.6 family, released as open weights in September 2026. Xiaomi positions it for high-volume multimodal office work. On our API it is one OpenAI-compatible chat endpoint that reads text, images, video and audio, holds 1,048,576 tokens of input and allows replies up to 131,072 tokens, reasoning included, at $0.14 per million input tokens.
- SpicyAPI Engineering
- Tested Oct 28, 2026
- Methodology v3.3 →
- We sell these models; scores ignore price →
The verdict
Reasoning is on by default: reasoningeffort accepts none, minimal, low, medium or high, and defaults to high, so set none explicitly for classification, extraction and short rewrites. Sampling has a catch. temperature (0 to 1.5) and topp apply only at none; while the model reasons it uses 1.0 and 0.95 and ignores your values.
This is a launch-day review. On 28 October 2026 our platform ran a real request through the endpoint as part of launch: one neutral message, answered without streaming at low reasoning effort. It returned a complete answer. We have not run a quality blind test or a content-level test, and this page does not score the model.
Key facts
- Tested: one real launch request on 28 Oct 2026 (neutral prompt, low reasoning effort, no streaming), plus integration checks of media input. No scored runs yet.
- Price: $0.14 per million input tokens, $0.0028 cached and $0.28 output. The live price is on the model page.
- Limits: 1,048,576-token context, replies up to 131,072 tokens (default 4,096, reasoning included), text, image, video and audio input, images up to 16,384 tokens each.
- Reasoning: reasoning_effort takes none, minimal, low, medium or high (default high).
- Sampling: temperature 0 to 1.5 and topp 0.01 to 1, applied only at reasoningeffort none.
- Sources: scoring rules are on our review methodology page, full parameters on the MiMo V2.6 Flash model page.
What we liked and what held it back
What we liked
- A very low per-token price. $0.14 input and $0.28 output per million tokens, with cached input at $0.0028, makes per-item pipelines over thousands of documents affordable.
- Four input types in one request. text, imageurl, videourl, audiourl and inputaudio (wav or mp3) parts can be mixed, so a slide, a screen recording and a voice memo can go in one turn.
- A none setting. It skips the reasoning pass, so replies start sooner and use fewer output tokens, and it frees temperature and top_p.
- A larger image budget than Pro. Images can use up to 16,384 tokens each here, against 8,192 on MiMo V2.6 Pro.
- Tool calling is on the endpoint. Up to 128 function definitions with toolchoice and paralleltool_calls; we have not graded tool-use quality yet.
What held it back
- The default is high reasoning. Every request reasons unless you set none, so a pipeline that forgets to set it pays for thinking it may not need.
- Sampling is conditional. temperature and top_p are ignored while the model reasons.
- Reasoning is paid for out of max_tokens. A small cap at high effort can be used up before the visible answer is complete; check finish_reason.
- The lighter model. Xiaomi positions Pro for complex projects, so hard multi-step tasks may call for it.
- No quality numbers of our own yet. We have not compared Flash with Pro or with other low-cost models.
What we tested
On 28 October 2026 our platform sent MiMo V2.6 Flash one real request as part of launch: a single neutral user message, answered without streaming at low reasoning effort with a 1,024-token cap. It returned a complete answer, and the request was priced at the published rate. The endpoint also passed our pre-launch checks of its price table and request limits. During integration, media requests were accepted and answered.
That is a working-endpoint check, not a benchmark. We have not compared its answers with Pro or another model, tested video and audio on real clips, measured speed, or tried a prompt near the 1,048,576-token limit.
Prompts to start from
These starting prompts come from the model page's published examples. We have not graded the outputs, so they are a place to begin rather than prompts proven on this model.
1. Turn notes into action items. A good fit for reasoning_effort none.
Extract action items from meeting notes and separate decisions from open questions. Work from the material I provide, cite the relevant lines, and say what information is missing.Run this prompt on MiMo V2.6 Flash →
2. A tool step. Confirms your function-calling loop end to end with a trivial function.
Call report_status with status ready.Settings that matter: set reasoningeffort none for extraction, classification and short rewrites and move up only when a question needs working out; leave maxtokens headroom when reasoning is on; keep inline video and audio under 14 MB combined.
How far it writes
We have not run our content-level test on MiMo V2.6 Flash, so we have no result to report here. The model page states the position plainly: content decisions come from the model, behaviour can vary, and no guarantee of unrestricted output is made.
Not tested yet: the content-level ladder, multi-turn behaviour over a long session, languages other than English, audio and video understanding on real material, and quality of none against the reasoning levels.
Every character in a request should be an adult, keep real, identifiable people out of it, and you are responsible for the law where you publish.
What the community says
When the V2.6 family launched, one reader reported a hands-on result on Flash: "Just tried 2.6 flash on a really niche topic I specialise in and it has done a really good job." Another summed up the pitch: "This looks great in terms of cost and capabilities, truly pushing the frontier forward in terms of open weight light weight models." These are individual impressions of the family, not our results.
Alternatives
- The larger sibling? MiMo V2.6 Pro has the same window and input types, costs more per token and caps images at 8,192 tokens; Xiaomi positions it for complex projects.
- Another low-cost multimodal model? MiniMax M3.1 Flash reads text, images and video, but has no none setting and no audio input.
- A cheap model with a content-level review? DeepSeek V4.1 Flash reads 1,048,576 tokens; see the DeepSeek V4.1 Flash review.
How MiMo V2.6 Flash earns its Spicy Index
Each dimension below links to its full workings: the table row every point came from and why points were lost.
- Public leaderboards 40% of quality
- Not yet tested
- Role-play 15% of quality
- Not yet tested
- Creative writing 15% of quality
- 61.7
- Instruction following 15% of quality
- 95.0
- Long-context memory 15% of quality
- Not yet tested
- Capability 10.5% weight
- 64.0
- Freedom Score 30% weight
- Not yet tested
No exact match on a tracked public leaderboard yet. How it works
Our role-play suite hasn’t run on this model yet. How it works
Our long-context suite hasn’t run on this model yet. How it works
Freedom evidence is untested or insufficient. The Index retains the original quality and capability score, is marked preliminary and still receives a rank. Missing evidence is not zero. How it works
Freedom evidence is untested or insufficient. The Index retains the original quality and capability score, is marked preliminary and still receives a rank. Missing evidence is not zero.
Open the full test report →Capability, item by item
Points from the public scoring table. Upscaled tiers and limits we set ourselves don’t count.
- Context window (creator-published)Not declared
- 0.0 / 30
- Input modalities on SpicyAPIText, plus images, audio
- 19.0 / 25
- Tool useTools and tool_choice
- 15.0 / 15
- Structured outputAccepted, schema adherence verified
- 15.0 / 15
- Reasoning control5 levels: none · minimal · low · medium · high
- 15.0 / 15
What MiMo V2.6 Flash can do on SpicyAPI
Straight from the live model specification on SpicyAPI. Some creators offer more in their own apps; this is what you can call through our API today.
| Feature | Chat |
|---|---|
| Context window | 1,048,576 tokens |
| Max output per request | 131,072 tokens |
| Reasoning levels | none · minimal · low · medium · high |
| Tool calling | Yes |
| Structured output | Yes |
How long it really takes
Measured on real jobs over the last 30 days, from request to finished result. Times include our own test runs.
- Output speed
- 120 tok/sIncludes time to first token
- Success rate
- Collecting data
A time appears once at least 10 completed jobs are in. Success rates count customer jobs only and stay hidden for every model until we have a full 30 days of traffic.
What people say about MiMo V2.6 Flash
2 positive · 0 mixed · 0 negative
Just tried 2.6 flash on a really niche topic I specialise in and it has done a really good job.
hacker-news· Sep 21, 2026· PositiveSource
This looks great in terms of cost and capabilities, truly pushing the frontier forward in terms of open weight light weight models.
hacker-news· Sep 21, 2026· PositiveSource
Quotes are verbatim from public posts, linked to the original. They are not ratings and don’t feed any score.
Models to consider instead of MiMo V2.6 Flash
Xiaomi
MiMo V2.6 Pro
The larger sibling?
- Spicy Index
- 78.6+2.4
- Freedom Score
- —
- Price
- $0.544+211%/ 1M tokens · 3:1 input/output
MiniMax
MiniMax M3.1 Flash
Another low-cost multimodal model?
- Spicy Index
- 73.6−2.6
- Freedom Score
- —
- Price
- $0.263+50%/ 1M tokens · 3:1 input/output
DeepSeek
DeepSeek V4.1 Flash
A cheap model with a content-level review?
- Spicy Index
- 81.9+5.7
- Freedom Score
- 90.4
- Price
- $0.525+200%/ 1M tokens · 3:1 input/output
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MiMo V2.6 Flash FAQ
Try MiMo V2.6 Flash yourself
Set every parameter in the Playground and see the exact price before you run it.
$0.175 per 1M mixed tokens (3 input : 1 output)
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