--- title: "MiMo-V2.5 AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/xiaomi-mimo-v2-5" date_modified: "2026-08-12" profile_kind: "reference" --- # MiMo-V2.5 model profile MiMo-V2.5 is a Xiaomi model profile with a 1,050,000-token context window. The dated catalog snapshot records text, audio, image, video modalities and interfaces for audio input, prompt caching, reasoning controls, structured output, text generation. MiMo-V2.5 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-V2.5 accepts text, audio, image, and video 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 $0.14 input and $0.28 output per million tokens. Cached input is $0.0028 per million tokens. The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 8 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. MiMo-V2.5 ranked #5 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. 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 2026-08-12 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:** 2026-08-12 - **Reference catalog ID:** xiaomi/mimo-v2.5 ## Context, modalities, and identity MiMo-V2.5 accepts text, audio, image, and video 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, audio, image, and video - **Output modalities:** text - **Knowledge cutoff:** Not disclosed ## 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 $0.14 input and $0.28 output per million tokens. Cached input is $0.0028 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:** 2026-08-12 - **Input:** $0.14 per 1M tokens - **Cached input:** $0.0028 per 1M tokens - **Output:** $0.28 per 1M tokens ## Benchmark evidence and limitations The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 8 Design Arena categories. 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:** 38 - **Coding Index:** 56.8 - **Agentic Index:** 24.4 | Design Arena category | Elo | Win rate | Rank | | --- | --- | --- | --- | | 3d | 1267 | 51.6% | #29 | | asciiart | 1170 | 45.5% | #38 | | codecategories | 1286 | 54.8% | #20 | | dataviz | 1279 | 55.3% | #19 | | gamedev | 1280 | 54.9% | #21 | | svg | 1219 | 52.7% | #22 | | uicomponent | 1292 | 55.1% | #21 | | website | 1288 | 55% | #20 | ## Popularity and market context MiMo-V2.5 ranked #5 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. - **Third-party catalog rank:** #5 - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is MiMo-V2.5? MiMo-V2.5 is a Xiaomi model profile with a 1,050,000-token context window. The dated catalog snapshot records text, audio, image, video modalities and interfaces for audio input, prompt caching, reasoning controls, structured output, text generation. ### What context window does MiMo-V2.5 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-V2.5? The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 8 Design Arena categories. 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-V2.5 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-V2.5's global market share? MiMo-V2.5 ranked #5 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. 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-V2.5 third-party catalog record](https://openrouter.ai/xiaomi/mimo-v2.5) — catalog, checked 2026-08-12 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12 - [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12 - [Design Arena leaderboard and methodology](https://www.designarena.ai/leaderboard) — benchmark, checked 2026-08-12 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.