OpenAI·#136 of 352 on the current board·cheaper than #113 Qwen3 235B A22B Thinking 2507
o4 Mini is a language model from OpenAI. It ranks #136 of 352 on ModelCap's current board, with an Index score of 49.0, measured on 3 public benchmarks. Its score range of 44.2–53.8 spans positions #104–#149. It is listed at $0.55 per million input tokens and $2.20 per million output tokens from one provider. It reads up to 200K tokens of context, with no downloadable weights linked in the current source data.
Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, measured provider uptime, pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
openai/o4-miniOpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
Models within 3 places of #136 on the ModelCap Index.
Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).
The same publisher's other current models with a public Index position.
o4 Mini holds ModelCap Index position #136 of 352 ranked language models as of 6 November 2026, with an Index score of 49.0 (interval 44.2–53.8); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
o4 Mini is listed at $0.55 per 1M input tokens and $2.20 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $2.20 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
o4 Mini has a published context window of 200K tokens (200,000). The snapshot lists a 100,000 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.
One provider serves o4 Mini through OpenRouter as of 6 November 2026: OpenAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
o4 Mini has published results on 5 public boards tracked by ModelCap as of 6 November 2026: Arena text 1391 (#177 of 419), Arena coding 1433 (#182 of 414), ARC-AGI-2 6.1% (#178 of 280), SWE-bench 45.0% (#36 of 47) and BFCL V4 53.2 (#18 of 83). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
o4 Mini ranks #136 (Index 49.0) and GPT-5.4 Nano ranks #112 (Index 52.8) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
o4 Mini first appeared in the catalogue on 16 Apr 2025, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.