OpenAI
UnrankedEnough results for an index.o4-mini (high)
o4-mini (high) is a reasoning model from OpenAI in the o4-mini family. It has 1 scored result in 1 category. It has no index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.10%
SpeedOutput tokens per second.136/sMedian 67/s
First tokenSeconds to the first output token.3.3 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$1.10Median $0.60
Output / 1MUS dollars per 1M output tokens.$4.40Median $2.55
ContextMaximum tokens in one request.200KMedian 262K
EloLMArena rating and rank.1353±4 #209Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
openai/o4-mini-high- Max outputMaximum output tokens per request.
- 100K
- Knowledge cutoffLast date of training data.
- 30 Jun 2024
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.275
- WeightsLink to the published weights.
- —
- RetiresDate OpenRouter removes the model.
- —
Capabilities
Index per category, out of 100.Results
1 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How much does o4-mini (high) cost?
- $1.10 per 1M input tokens, $4.40 per 1M output tokens.
- How fast is o4-mini (high)?
- 136 output tokens per second, 3.3 s to the first token.
- What is the context window of o4-mini (high)?
- 200K tokens.
- Is o4-mini (high) open source?
- No. Its weights are not published.
- When was o4-mini (high) released?
- April 2025.