--- title: "Is GLM 5V Turbo still undominated? · Undominated.ai" canonical: https://undominated.ai/check/z-ai__glm-5v-turbo/ description: "GLM 5V Turbo: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated." --- # Is GLM 5V Turbo still undominated? · Undominated.ai > GLM 5V Turbo: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated. # Is GLM 5V Turbo a good deal? Whether anything in this catalogue beats GLM 5V Turbo on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 12 undominated of 145 · Oct 6, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Oct 6, 2026, GLM 5V Turbo is dominated for Balanced on LMArena. MiMo-V2.6-Pro scores 53.8 higher and costs 72% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated. [Inspect model evidence](/models/z-ai__glm-5v-turbo/) [Compare differences & requirements](/compare/?models=z-ai%2Fglm-5v-turbo%2Cxiaomi%2Fmimo-v2.6-pro) Current model GLM 5V Turbo 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) MiMo-V2.6-Pro is both better and cheaper than GLM 5V Turbo: 53.8 points higher on LMArena and 72% less per million tokens, $1.36 cheaper at this mix. [GLM 5V Turbo](https://undominated.ai/models/z-ai__glm-5v-turbo/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1437.2 Effective $/M · Balanced · lower is better ** $1.90/M [MiMo-V2.6-Pro](https://undominated.ai/models/xiaomi__mimo-v2.6-pro/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1491.0 Effective $/M · Balanced · lower is better ** $0.540/M GLM 5V Turbo takes image, text, video, returns up to 131,072 tokens from a 202,752-token context, and is listed by 1 seller. Compared against 145 rated, priced models on this lens: 4 models dominate it and give up nothing, 5 more dominate it but give something up. GLM 5V Turbo scores 1437.2 at $1.90 per million tokens for this mix. ## Envelope-safe replacements Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here. | Model | LMArena | Effective $/M | You save | | --- | --- | --- | --- | | [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) | 1491.0 +53.8 | $0.540/M | 72% | | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1469.6 +32.4 | $0.238/M | 88% | | [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) | 1456.4 +19.2 | $0.175/M | 91% | | [Qwen3.8 27B](/models/qwen__qwen3.8-27b/) | 1440.7 +3.5 | $0.562/M | 70% | ## 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 | | --- | --- | --- | --- | | [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) | 1479.5 | $1.50/M | max output | | [GLM 5.3](/models/z-ai__glm-5.3/) | 1471.4 | $1.00/M | image, video | | [GLM 5.2](/models/z-ai__glm-5.2/) | 1470.4 | $1.12/M | image, video | | [MiMo-V2.5-Pro](/models/xiaomi__mimo-v2.5-pro/) | 1465.0 | $0.544/M | image, video | | [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) | 1462.5 | $0.182/M | video | 145 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/)