o1-mini vs o4 Mini: Benchmarks, Pricing, and Context Window Comparison
o1-mini vs o4 Mini compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.
Verdict
o4 Mini has lower listed token pricing, while o1-mini can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
o1-mini was released 7 months before o4 Mini.
 o1-mini | o4 Mini | |
|---|---|---|
Provider The entity that provides this model. | OpenAI | OpenAI |
Input Context Window The number of tokens supported by the input context window. | 128000 tokens | 200K tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 65536 tokens | 100K tokens |
Release Date When the model was first released. | Sep 12, 2024 over 1 yearago 2024-09-12 | Apr 16, 2025 over 1 year 2025-04-16 |
Leaderboard
| o1-mini | o4 Mini | |
|---|---|---|
Rank | 5 | Unknown |
Arena Elo | 1307 | Not specified. |
95% CI | +3/-4 | Not specified. |
Votes | 35691 | Not specified. |
License | Proprietary | Not specified. |
Knowledge Cutoff | 4/2023 4/2023 | Unknown |
Pricing
| o1-mini | o4 Mini | |
|---|---|---|
Input Cost of input data provided to the model. | $1.10 per million tokens | $1.10 per million tokens |
Output Cost of output tokens generated by the model. | $4.40 per million tokens | $4.40 per million tokens |
Benchmarks
Compare relevant benchmarks between o1-mini and o4 Mini Instruct.
| o1-mini | o4 Mini | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 85.2 (5-shot) | Benchmark not available. |
MMMU A wide ranging multi-discipline and multimodal benchmark. | Benchmark not available. | 81.6 |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |