Model detail
o4-mini 20250416
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
Model specs
- Model ID
-
o4-mini-2025-04-16
- Context length
- 200K
- Max output
- 100K
- I/O modalities
- Released
- 2025-04
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$1.1000 /1M Tokens
Completion
$1.1000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Fast, cost-efficient reasoning with tool use
Use o4-mini for high-throughput reasoning tasks where latency and cost are critical. It supports tool use, structured output, and multimodal inputs, making it suitable for agentic workflows at scale.
What should you check before using it?
Confirm tool use and structured output capabilities
Test your specific tool definitions, structured output schemas, and multimodal inputs. o4-mini is optimized for speed—verify it meets your accuracy requirements for your most demanding tasks. Knowledge cutoff: 2024-06-01.
Why use it through MixRoute?
o4-mini keeps its 200,000-token context on one route
The full 200,000-token context stays reachable on the same route. MixRoute serves o4-mini on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID o4-mini-2025-04-16 and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
o4-mini-2025-04-16 supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
o4-mini-2025-04-16 can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
o4-mini-2025-04-16 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
o4-mini-2025-04-16 supports prompt caching under supported routing conditions.
Vision input
o4-mini-2025-04-16 can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call o4-mini-2025-04-16 through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
This model has no cache-read price; caching is not counted
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FAQ
o4-mini-2025-04-16 supports prompt caching, which can significantly reduce costs for repeated prompts with shared prefixes. The cache read price is substantially lower than the standard input price. Check the current pricing page for the exact cache hit discount ratio for o4-mini-2025-04-16.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.