--- title: "Is GPT-4.1 Mini still undominated? · Undominated.ai" canonical: https://undominated.ai/check/openai__gpt-4.1-mini/ description: "GPT-4.1 Mini: 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 GPT-4.1 Mini still undominated? · Undominated.ai > GPT-4.1 Mini: 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 GPT-4.1 Mini a good deal? Whether anything in this catalogue beats GPT-4.1 Mini 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, GPT-4.1 Mini is dominated for Balanced on LMArena. GPT-5.6 Luna scores 90.6 higher and costs 36% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated. [Inspect model evidence](/models/openai__gpt-4.1-mini/) [Compare differences & requirements](/compare/?models=openai%2Fgpt-4.1-mini%2Copenai%2Fgpt-5.6-luna) Current model GPT-4.1 Mini 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) GPT-5.6 Luna is both better and cheaper than GPT-4.1 Mini: 90.6 points higher on LMArena and 36% less per million tokens, $0.250 cheaper at this mix. [GPT-4.1 Mini](https://undominated.ai/models/openai__gpt-4.1-mini/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1340.4 Effective $/M · Balanced · lower is better ** $0.700/M [GPT-5.6 Luna](https://undominated.ai/models/openai__gpt-5.6-luna/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1431.0 Effective $/M · Balanced · lower is better ** $0.450/M GPT-4.1 Mini takes image, text, file, returns up to 32,768 tokens from a 1,047,576-token context, and is listed by 3 sellers. Compared against 145 rated, priced models on this lens: 3 models dominate it and give up nothing, 5 more dominate it but give something up. GPT-4.1 Mini scores 1340.4 at $0.700 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 | | --- | --- | --- | --- | | [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) | 1431.0 +90.6 | $0.450/M | 36% | | [Gemini 3.1 Flash Lite Preview](/models/google__gemini-3.1-flash-lite-preview/) | 1415.7 +75.3 | $0.563/M | 20% | | [GPT-6 Luna](/models/openai__gpt-6-luna/) | 1391.5 +51.1 | $0.200/M | 71% | ## 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 | | --- | --- | --- | --- | | [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) | 1491.0 | $0.540/M | file | | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1469.6 | $0.238/M | file | | [MiMo-V2.5-Pro](/models/xiaomi__mimo-v2.5-pro/) | 1465.0 | $0.544/M | image, file | | [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) | 1462.5 | $0.182/M | file | | [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) | 1456.4 | $0.175/M | file | 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/)