--- title: "MiMo-V2.5-Pro AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/xiaomi-mimo-v2-5-pro" date_modified: "2026-08-12" profile_kind: "reference" --- # MiMo-V2.5-Pro model profile MiMo-V2.5-Pro is a Xiaomi model profile with a 1,050,000-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling. MiMo-V2.5-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-V2.5-Pro accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces. The dated reference snapshot lists $0.435 input and $0.87 output per million tokens. Cached input is $0.0036 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-Pro ranked #24 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-pro ## Context, modalities, and identity MiMo-V2.5-Pro accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces. - **Provider or publisher:** Xiaomi - **Context window:** 1,050,000 tokens - **Maximum output:** 131,072 tokens - **Input modalities:** text - **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 - prompt caching - reasoning controls - structured output - text generation - tool calling ## Dated pricing snapshot The dated reference snapshot lists $0.435 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:** 2026-08-12 - **Input:** $0.435 per 1M tokens - **Cached input:** $0.0036 per 1M tokens - **Output:** $0.87 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:** 42.9 - **Coding Index:** 60.2 - **Agentic Index:** 29.5 | Design Arena category | Elo | Win rate | Rank | | --- | --- | --- | --- | | 3d | 1299 | 55.7% | #18 | | asciiart | 1192 | 48.4% | #25 | | codecategories | 1299 | 55.4% | #16 | | dataviz | 1295 | 54.5% | #14 | | gamedev | 1309 | 56.7% | #12 | | svg | 1223 | 51.7% | #21 | | uicomponent | 1299 | 55.9% | #18 | | website | 1296 | 54.8% | #11 | ## Popularity and market context MiMo-V2.5-Pro ranked #24 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:** #24 - **Global market share:** Not inferred - **Observation date:** 2026-08-12 ## Frequently asked questions ### What is MiMo-V2.5-Pro? MiMo-V2.5-Pro is a Xiaomi model profile with a 1,050,000-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling. ### What context window does MiMo-V2.5-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-V2.5-Pro? 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-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-V2.5-Pro's global market share? MiMo-V2.5-Pro ranked #24 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-Pro third-party catalog record](https://openrouter.ai/xiaomi/mimo-v2.5-pro) — 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.