MiMo-V2.6-Pro model profile
Evidence snapshot:
MiMo-V2.6-Pro 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-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier 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-Pro is a reference profile: Xiaomi publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
MiMo-V2.6-Pro 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-Pro 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 $0.43 input and $0.87 output per million tokens. Cached input is $0.0036 per million tokens.
The 2026-10-13 snapshot includes 1 Artificial Analysis index, 7 Design Arena categories, and AutoExacto results for 5 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-Pro ranked #21 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-pro
When to pick MiMo-V2.6-Pro
MiMo-V2.6-Pro 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 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 46.3 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.
- Reach for it when the input is speech. The snapshot records audio input, so recordings can go to this route rather than being transcribed first.
- 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-Pro 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-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier 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-pro
- Canonical version
- xiaomi/mimo-v2.6-pro-20260921
- Hugging Face ID
- XiaomiMiMo/MiMo-V2.6-Pro-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, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, 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 $0.43 input and $0.87 output per million tokens. Cached input is $0.0036 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
- $0.43 per 1M tokens
- Cached input
- $0.0036 per 1M tokens
- Output
- $0.87 per 1M tokens
Provider routes, performance, and uptime
The snapshot retains 4 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.
- Active provider endpoints
- 1
- Best p50 latency
- 0.96 s
- Best p50 throughput
- 35 tok/s
- Availability with routing
- 99.82% over the sampled window
- Availability without routing
- 97.68% over the sampled window
- Performance date
- 2026-10-13
| Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) |
|---|---|---|---|---|---|---|---|---|
| DeepInfra | fp8 | $0.43 / 1M | $0.87 / 1M | $0.0036 / 1M | 1,048,576 tokens | 0.96 s | 33 tok/s | 100.00% |
| Xiaomi | fp8 | $0.435 / 1M | $0.87 / 1M | $0.0036 / 1M | 1,048,576 tokens | 3.79 s | 35 tok/s | 99.35% |
| NovitaAI | fp8 | $0.435 / 1M | $0.87 / 1M | $0.0036 / 1M | 1,048,576 tokens | 4.04 s | 32 tok/s | 98.38% |
| GMICloud | bf16 | $0.435 / 1M | $0.87 / 1M | $0.004 / 1M | 1,050,000 tokens | 3.84 s | 34 tok/s | 98.05% |
Benchmark evidence and limitations
The 2026-10-13 snapshot includes 1 Artificial Analysis index, 7 Design Arena categories, and AutoExacto results for 5 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
- 46.3
- AutoExacto coverage
- 5 provider observations over 32 days
| Design Arena category | Elo | Win rate | Rank |
|---|---|---|---|
| webapps | 1283 | 58.3% | #5 |
| 3d | 1333 | 56.9% | #12 |
| codecategories | 1320 | 52.4% | #8 |
| dataviz | 1340 | 58.8% | #7 |
| gamedev | 1318 | 52.9% | #12 |
| uicomponent | 1340 | 59% | #9 |
| website | 1311 | 50.6% | #10 |
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.
| Provider | GPQA Diamond | TAU-Bench Airline | Runs |
|---|---|---|---|
| auto-routing | 88.5% | 74.72% | 3 |
| DeepInfra | 89.02% | 77.33% | 4 |
| GMICloud | 87.37% | 76.87% | 3 |
| NovitaAI | 90.17% | 76.32% | 3 |
| Xiaomi | 89.81% | 79.48% | 3 |
Popularity and market context
MiMo-V2.6-Pro ranked #21 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
- #21
- Global market share
- Not inferred
- Observation date
- 2026-10-13
Frequently asked questions
When should I use MiMo-V2.6-Pro?
MiMo-V2.6-Pro is a reference profile: Xiaomi publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. 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 46.3 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. Reach for it when the input is speech: The snapshot records audio input, so recordings can go to this route rather than being transcribed first. 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-Pro?
MiMo-V2.6-Pro 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-Pro 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-Pro?
The 2026-10-13 snapshot includes 1 Artificial Analysis index, 7 Design Arena categories, and AutoExacto results for 5 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-Pro 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-Pro's global market share?
MiMo-V2.6-Pro ranked #21 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
- MiMo-V2.6-Pro third-party catalog record (catalog, checked 2026-10-13)
- Third-party model catalog methodology (methodology, checked 2026-10-13)
- Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
- Design Arena leaderboard and methodology (benchmark, checked 2026-10-13)
- MiMo-V2.6-Pro third-party catalog record (benchmark, checked 2026-10-13)