--- title: "Is MiMo-V2.5 still undominated? · Undominated.ai" canonical: https://undominated.ai/check/xiaomi__mimo-v2.5/ description: "MiMo-V2.5: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated." --- # Is MiMo-V2.5 still undominated? · Undominated.ai > MiMo-V2.5: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated. # Is MiMo-V2.5 a good deal? Whether anything in this catalogue beats MiMo-V2.5 on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 13 undominated of 136 · Sep 23, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Sep 23, 2026, Gemma 4 31B scores higher and costs less than MiMo-V2.5 for Balanced on LMArena, but it is not a drop-in. You would give up: context, max output, audio. [Inspect model evidence](/models/xiaomi__mimo-v2.5/) [Compare differences & requirements](/compare/?models=xiaomi%2Fmimo-v2.5%2Cgoogle%2Fgemma-4-31b-it) Current model MiMo-V2.5 Balanced 3 tokens in per 1 out Balanced Summarise Chat Code gen Agentic Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD) Gemma 4 31B scores 14.3 points higher and costs 13% less, but you would give up: context, max output, audio. [MiMo-V2.5](https://undominated.ai/models/xiaomi__mimo-v2.5/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1427.4 Effective $/M · Balanced · lower is better ** $0.175/M [Gemma 4 31B](https://undominated.ai/models/google__gemma-4-31b-it/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1441.7 Effective $/M · Balanced · lower is better ** $0.153/M MiMo-V2.5 takes text, audio, image, video, returns up to 131,072 tokens from a 1,050,000-token context, and is listed by 6 sellers. Compared against 136 rated, priced models on this lens: nothing dominates it outright, 4 more dominate it but give something up. MiMo-V2.5 scores 1427.4 at $0.18 per million tokens for this mix. ## Higher score, lower price, named losses Not a drop-in. The loss is why these are not a recommendation. | Model | LMArena | Effective $/M | You give up | | --- | --- | --- | --- | | [Gemma 4 31B](/models/google__gemma-4-31b-it/) | 1441.7 | $0.153/M | context, max output, audio | | [Hy3](/models/tencent__hy3/) | 1440.6 | $0.144/M | context, max output, audio, image, video | | [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1434.5 | $0.143/M | context, audio | | [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1431.8 | $0.103/M | context, audio, image, video | 136 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase. Copy watch URL [Open the frontier](/frontier/) The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link. ## Saved decision references Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications. Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs. Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored. Save this reference ## Continue your investigation - [Build a shortlist](/compare/) - [Inspect alternatives](/alternatives/) - [Check billing conditions](/traps/) - [Read model evidence](/models/)