o4-mini
o4-mini is OpenAI’s compact reasoning model with native vision input for images, diagrams, and screenshots. The model processes text and image, operates with a context window of 200,000 tokens, and offers three adjustable reasoning levels for balancing response depth and latency. Full tool use including parallel tool calling for lightweight agentic workflows.
- Proprietary
- Frontier
- API
- Text
- Vision
- Instruction-Tuned
- Agentic Orchestrator
- Real-Time
Sovereign Risk: MEDIUM OpenAI is a US-based company and subject to the CLOUD Act. Data transmitted via the API may be made accessible to US authorities. Local deployment is not possible.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 69.47
- Routine
- 42.98
- Reasoning
- 26.49
- LLM Judge Avg
- 3.49 / 5
- 100 Coverage
- Avg Task Duration
- 12.31s
- Real-Time
- Token Rate
- 69.73tok/s
- Output Rate
- P95 Latency
- 23.84s
- Top 5 %
- Total Tokens
- 90100
- Output Volume
- Cost per 1K
- $0.0044
- USD / 1K Requests
- Benchmark Cost
- $0.4
- Total · 90100 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
o4-mini
Best model
Ø All models
Code Quality
75.3
CLI Benchmark
90.56
Logical Reasoning
56.05
UX Writing
64.35
Documentation
66.19
Content Transform.
72.98
Cultural Intelligence
78.3
Synthesis Quality
40.83
Tool Execution
85
ToolUse Score
62.54
Benchmark Cost
$0.4
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.