GPT-4o
Closed weights. No supported local deployment or GPU requirement is published.
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COMPARE.
AI modelsGPT-4o
AI model Released
- API mode
- Chat*
- Context window
- 128,000 tokens
- Maximum output
- 16,384 tokens
- Open weights
- No
No matched benchmark results are available for this entry yet.
Run it locally
API cost
Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.
GPT-4o
Capabilities
- Context window
- 128,000 tokens
- Maximum input
- 128,000 tokens*
- Maximum output
- 16,384 tokens
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes*
- Open weights
- No
- Knowledge cutoff
- 2023-09
- API mode
- Chat*
- Image input
- Yes*
- PDF input
- Yes*
- Parallel tool calls
- Yes*
- Prompt caching
- Yes*
- System messages
- Yes*
- Tool choice
- Yes*
Input modalities
- text
- image
Output modalities
- text
System configuration
Detailed specifications
Specifications · 21 fields
- cache read input token cost
- 1.25e-6*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost priority
- 2.125e-6*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token
- 2.5e-6*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token batches
- 1.25e-6*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token priority
- 4.25e-6*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- litellm provider
- openai*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max input tokens
- 128,000*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max output tokens
- 16,384*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max tokens
- 16,384*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- mode
- chat*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token
- 1.0e-5*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token batches
- 5.0e-6*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token priority
- 1.7e-5*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports function calling
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports parallel function calling
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports pdf input
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports prompt caching
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports response schema
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports system messages
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports tool choice
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports vision
- Yes*
Scope and conditions
- native_context
- provider
- openai*
- mode
- chat*
- full_native_model_id
- gpt-4o*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
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* Provisional data