--- title: "Is Qwen3.6 Max Preview still undominated? · Undominated.ai" canonical: https://undominated.ai/check/qwen__qwen3.6-max-preview/ description: "Qwen3.6 Max Preview: 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 Qwen3.6 Max Preview still undominated? · Undominated.ai > Qwen3.6 Max Preview: 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 Qwen3.6 Max Preview a good deal? Whether anything in this catalogue beats Qwen3.6 Max Preview 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, Qwen3.6 Max Preview is dominated for Balanced on LMArena. Gemini 3.8 Flash scores 48.4 higher and costs 35% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated. [Inspect model evidence](/models/qwen__qwen3.6-max-preview/) [Compare differences & requirements](/compare/?models=qwen%2Fqwen3.6-max-preview%2Cgoogle%2Fgemini-3.8-flash) Current model Qwen3.6 Max Preview 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) Gemini 3.8 Flash is both better and cheaper than Qwen3.6 Max Preview: 48.4 points higher on LMArena and 35% less per million tokens, $0.81 cheaper at this mix. [Qwen3.6 Max Preview](https://undominated.ai/models/qwen__qwen3.6-max-preview/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1446.3 Effective $/M · Balanced · lower is better ** $2.31/M [Gemini 3.8 Flash](https://undominated.ai/models/google__gemini-3.8-flash/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1494.7 Effective $/M · Balanced · lower is better ** $1.50/M Qwen3.6 Max Preview takes text, returns up to 65,536 tokens from a 262,144-token context, and is listed by 1 seller. Compared against 136 rated, priced models on this lens: 11 models dominate it and give up nothing, 2 more dominate it but give something up. Qwen3.6 Max Preview scores 1446.3 at $2.31 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 | | --- | --- | --- | --- | | [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) | 1494.7 +48.4 | $1.50/M | 35% | | [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) | 1490.5 +44.2 | $1.50/M | 35% | | [Muse Spark 1.3](/models/meta__muse-spark-1.3/) | 1489.7 +43.4 | $2.00/M | 13% | | [Muse Spark 1.1](/models/meta__muse-spark-1.1/) | 1480.2 +33.9 | $2.00/M | 13% | | [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) | 1476.1 +29.8 | $1.50/M | 35% | | [GLM 5.3](/models/z-ai__glm-5.3/) | 1475.1 +28.8 | $1.29/M | 44% | | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1471.9 +25.6 | $0.237/M | 90% | | [GLM 5.2](/models/z-ai__glm-5.2/) | 1466.9 +20.6 | $0.998/M | 57% | | [MiMo-V2.5-Pro](/models/xiaomi__mimo-v2.5-pro/) | 1464.8 +18.5 | $0.544/M | 76% | | [Kimi K2.6](/models/moonshotai__kimi-k2.6/) | 1454.9 +8.6 | $1.71/M | 26% | | [Qwen3.7 Plus](/models/qwen__qwen3.7-plus/) | 1454.2 +7.9 | $0.560/M | 76% | ## 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 | | --- | --- | --- | --- | | [GLM 5.1](/models/z-ai__glm-5.1/) | 1462.4 | $1.48/M | context | | [GLM 5](/models/z-ai__glm-5/) | 1446.3 | $0.930/M | context | 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/)