MiMo-V2.6-Flash model profile

Evidence snapshot:

MiMo-V2.6-Flash is a Xiaomi model profile with a 1,050,000-token context window. The dated catalog snapshot records text, image, video, audio modalities and interfaces for audio input, prompt caching, reasoning controls, structured output, text generation.

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

MiMo-V2.6-Flash is a reference profile: Xiaomi publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

MiMo-V2.6-Flash is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

MiMo-V2.6-Flash accepts text, image, video, and audio and returns text. The snapshot records audio input, prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.

The dated reference snapshot lists $0.1 input and $0.28 output per million tokens. Cached input is $0.002 per million tokens.

The 2026-10-13 snapshot includes 1 Artificial Analysis index and AutoExacto results for 11 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

MiMo-V2.6-Flash ranked #4 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-10-13 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Model research profile
Provider or publisher
Xiaomi
Context window
1,050,000 tokens
Snapshot date
2026-10-13
Knowledge cutoff
Not disclosed
Reference catalog ID
xiaomi/mimo-v2.6-flash

When to pick MiMo-V2.6-Flash

MiMo-V2.6-Flash is a reference profile: Xiaomi publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

  • Reach for it when cost is the binding constraint. At $0.1 in and $0.28 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot.
  • Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 167 models publishing a limit here, so long documents can go in whole rather than chunked.
  • Reach for it when answer quality matters more than unit cost. It scores 37.9 on the Artificial Analysis intelligence index, above three quarters of the 119 models carrying that field in the 2026-10-13 snapshot.
  • Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
  • Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

Context, modalities, and identity

MiMo-V2.6-Flash accepts text, image, video, and audio and returns text. The snapshot records audio input, prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.

Provider or publisher
Xiaomi
Context window
1,050,000 tokens
Maximum output
131,072 tokens
Input modalities
text, image, video, and audio
Output modalities
text
Knowledge cutoff
Not disclosed

Model overview

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

Reference model ID
xiaomi/mimo-v2.6-flash
Canonical version
xiaomi/mimo-v2.6-flash-20260921
Hugging Face ID
XiaomiMiMo/MiMo-V2.6-Flash-RL

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
  • audio input
  • prompt caching
  • reasoning controls
  • structured output
  • text generation
  • tool calling
  • video input
  • vision

Dated pricing snapshot

The dated reference snapshot lists $0.1 input and $0.28 output per million tokens. Cached input is $0.002 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date
2026-10-13
Input
$0.1 per 1M tokens
Cached input
$0.002 per 1M tokens
Output
$0.28 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 8 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints
6
Best p50 latency
1.33 s
Best p50 throughput
100 tok/s
Availability with routing
99.20% over the sampled window
Availability without routing
93.67% over the sampled window
Performance date
2026-10-13
ProviderQuantizationInput / 1MOutput / 1MCache read / 1MContextp50 latencyp50 throughputUptime (1d)
Darkbloomfp4$0.1 / 1M$0.28 / 1M$0.05 / 1M1,048,576 tokens3.03 s18 tok/s100.00%
Makorafp8$0.13 / 1M$0.28 / 1M$0.002 / 1M1,048,576 tokens1.36 s42 tok/s100.00%
DeepInfrafp8$0.14 / 1M$0.28 / 1M$0.0028 / 1M1,048,576 tokens1.78 s25 tok/s99.63%
Xiaomifp8$0.14 / 1M$0.28 / 1M$0.0028 / 1M1,048,576 tokens4.30 s34 tok/s100.00%
Venicefp8$0.175 / 1M$0.35 / 1M$0.00375 / 1M1,000,000 tokens1.52 s26 tok/s100.00%
io.netfp8$0.19 / 1M$0.29 / 1M$0.025 / 1M1,048,320 tokens1.33 s100 tok/s100.00%
NovitaAIfp8$0.14 / 1M$0.28 / 1M$0.0028 / 1M1,048,576 tokens3.37 s27 tok/s98.38%
GMICloudbf16$0.14 / 1M$0.28 / 1M$0.003 / 1M1,050,000 tokens3.24 s27 tok/s29.37%

Benchmark evidence and limitations

The 2026-10-13 snapshot includes 1 Artificial Analysis index and AutoExacto results for 11 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index
37.9
AutoExacto coverage
11 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

ProviderGPQA DiamondTAU-Bench AirlineRuns
auto-routing75.12%79.71%2
Darkbloom71.32%—1
DeepInfra79.3%77.72%4
GMICloud77.16%76.41%3
inference.net76.27%77.66%2
io.net75.53%75.87%4
Makora72.34%74.7%2
NovitaAI73.03%78.57%3
Relace81.4%71.67%1
Venice84.61%75.13%2
Xiaomi75.39%76.5%2

Popularity and market context

MiMo-V2.6-Flash ranked #4 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank
#4
Global market share
Not inferred
Observation date
2026-10-13

Frequently asked questions

When should I use MiMo-V2.6-Flash?

MiMo-V2.6-Flash is a reference profile: Xiaomi publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when cost is the binding constraint: At $0.1 in and $0.28 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot. Reach for it when a whole corpus has to fit in one prompt: The 1.05M-token context window is in the top quarter of the 167 models publishing a limit here, so long documents can go in whole rather than chunked. Reach for it when answer quality matters more than unit cost: It scores 37.9 on the Artificial Analysis intelligence index, above three quarters of the 119 models carrying that field in the 2026-10-13 snapshot. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

What is MiMo-V2.6-Flash?

MiMo-V2.6-Flash is a Xiaomi model profile with a 1,050,000-token context window. The dated catalog snapshot records text, image, video, audio modalities and interfaces for audio input, prompt caching, reasoning controls, structured output, text generation.

What context window does MiMo-V2.6-Flash have?

The dated profile lists 1,050,000 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for MiMo-V2.6-Flash?

The 2026-10-13 snapshot includes 1 Artificial Analysis index and AutoExacto results for 11 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is MiMo-V2.6-Flash available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent MiMo-V2.6-Flash's global market share?

MiMo-V2.6-Flash ranked #4 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.

Sources and evidence dates

  1. MiMo-V2.6-Flash third-party catalog record (catalog, checked 2026-10-13)
  2. Third-party model catalog methodology (methodology, checked 2026-10-13)
  3. Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
  4. MiMo-V2.6-Flash third-party catalog record (benchmark, checked 2026-10-13)