--- title: "Is GPT-4.1 Nano still undominated? · Undominated.ai" canonical: https://undominated.ai/check/openai__gpt-4.1-nano/ description: "GPT-4.1 Nano: 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 Nano still undominated? · Undominated.ai > GPT-4.1 Nano: 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 Nano a good deal? Whether anything in this catalogue beats GPT-4.1 Nano 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, MiMo-V2.6-Flash scores higher than GPT-4.1 Nano at the same price for Balanced on LMArena, but it is not a drop-in. You would give up: file. [Inspect model evidence](/models/openai__gpt-4.1-nano/) [Compare differences & requirements](/compare/?models=openai%2Fgpt-4.1-nano%2Cxiaomi%2Fmimo-v2.6-flash) Current model GPT-4.1 Nano 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-Flash scores 171.6 points higher at the same price, but you would give up: file. [GPT-4.1 Nano](https://undominated.ai/models/openai__gpt-4.1-nano/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1284.8 Effective $/M · Balanced · lower is better ** $0.175/M [MiMo-V2.6-Flash](https://undominated.ai/models/xiaomi__mimo-v2.6-flash/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1456.4 Effective $/M · Balanced · lower is better ** $0.175/M GPT-4.1 Nano 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: nothing dominates it outright, 5 more dominate it but give something up. GPT-4.1 Nano scores 1284.8 at $0.175 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 | | --- | --- | --- | --- | | [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) | 1456.4 | $0.175/M | file | | [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1433.9 | $0.127/M | context, file | | [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1432.1 | $0.113/M | image, file | | [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) | 1427.5 | $0.175/M | file | | [Step 3.5 Flash](/models/stepfun__step-3.5-flash/) | 1403.0 | $0.150/M | context, image, 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/)