--- title: "OpenAI: o3 Mini — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/openai__o3-mini/ description: "OpenAI: o3 Mini: $1.10/M in, $4.40/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # OpenAI: o3 Mini — price, capability and what beats it · Undominated.ai > OpenAI: o3 Mini: $1.10/M in, $4.40/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/openai__o3-mini/) [Cheaper alternatives](/alternatives/openai__o3-mini/) [Family](/families/openai-o/) [Compare models](https://undominated.ai/compare/?models=openai%2Fo3-mini) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # o3 Mini OpenAI · 31 Jan 2025 Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$1.93** / 1M tokens Balanced · 3 tokens in per 1 out [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) · Δ score 111.6 points · 77% lower measured price · $0.450 / 1M tokens [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) is a further stored option with these losses: no file input Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,319.4 ± 3.55 · 56,564 votes Context window 200K Maximum output 100K Input modalities text, file Output modalities text Published input price $1.10 / 1M tokens Published output price $4.40 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from OpenAI: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Every price dimension · USD per million tokens | Input | $1.10 /M | | --- | --- | | Output | $4.40 /M | | Cached input | $0.550 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | | Web search | $0.01 /call | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 1 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller OpenAI openai Endpoint terms Cached input /M $0.550 Context limit 200,000 tokens Output limit 100,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $1.10 | Output $4.40 | Precision undeclared | Uptime (1d) 100.00% | ### Independent scores | LMArena Elo | 1319.4 default | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. ### Capability | Context window | 200K | | --- | --- | | Max output | 100K | | Input modes | text, file | | Tool use | yes | | Reasoning | optional | | Knowledge cutoff | 2023-10-31 | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to... ## Questions this page answers What does o3 Mini cost? $1.10/M in, $4.40/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does o3 Mini have an independent quality score? o3 Mini has an LMArena score in this catalogue. What beats o3 Mini? GPT-5.6 Luna has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for o3 Mini? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options OpenAI: o3 Mini. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) - Higher score and cheaper, with a named trade [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) - Nearby on the capability axis [GPT-5 Nano](/models/openai__gpt-5-nano/) - Same vendor [o3 Mini High](/models/openai__o3-mini-high/) - OpenAI models [OpenAI](/providers/openai/) - Where this model appears [significance](/significance/) - Nearby on the capability axis [Granite 4.2 8B](/models/ibm-granite__granite-4.2-8b/) - Same vendor [GPT-4o (2024-05-13)](/models/openai__gpt-4o-2024-05-13/) - Where this model appears [cheapest-at](/cheapest-at/) - Nearby on the capability axis [Qwen3 30B A3B](/models/qwen__qwen3-30b-a3b/) - Same vendor [GPT-4.1 Mini](/models/openai__gpt-4.1-mini/) - Where this model appears [subscription vs API](/plans/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![o3 Mini — Undominated.ai dominance verdict](https://undominated.ai/badge/openai__o3-mini.svg)](https://undominated.ai/models/openai__o3-mini/) HTML Copy o3 Mini — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/openai__o3-mini.svg](https://undominated.ai/badge/openai__o3-mini.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)