cherry-studio/resources/model-catalogs/openai/o4-mini.yaml
2025-07-06 21:27:27 +08:00

40 lines
1.5 KiB
YAML

id: openai/o4-mini
canonical_slug: openai/o4-mini-2025-04-16
hugging_face_id: ''
name: 'OpenAI: o4 Mini'
type: chat
created: 1744820942
description: |-
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.
context_length: 200000
architecture:
modality: text+image->text
input_modalities:
- image
- text
output_modalities:
- text
tokenizer: Other
instruct_type: null
pricing:
prompt: '0.0000011'
completion: '0.0000044'
input_cache_read: '0.000000275'
input_cache_write: ''
request: '0'
image: '0.0008415'
web_search: '0'
internal_reasoning: '0'
unit: 1
currency: USD
supported_parameters:
- tools
- tool_choice
- seed
- max_tokens
- response_format
- structured_outputs
model_provider: openai