Try Bifrost Enterprise free for 14 days.
Request access
[ MODEL COMPARISON ]

Compare gpt-4o-2024-05-13 with other models

Select another model to compare pricing, limits, and capabilities with gpt-4o-2024-05-13.

OpenRouter logo
VS
Models
OpenRouter logogpt-4o-2024-05-13
openrouter
-
-
Context Length
128K
-
Max Output
4K
-
Input Cost
$5.00/M
-
Output Cost
$15.00/M
-
Mode
Chat
-
Max Input Tokens
128K
-
Max Tokens
4K
-
Provider
OpenRouter
-
Tool Choice
Yes
-
Response Schema
Yes
-
Parallel Function Calling
Yes
-
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about gpt-4o-2024-05-13?

Overview

  • gpt-4o-2024-05-13 is a chat model provided by OpenRouter.
  • With a context window of 128K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.

Pricing

  • Input processing costs $5.00 per million tokens.
  • Output generation costs $15.00 per million tokens.

Output Capabilities

  • The model can generate up to 4K tokens in a single response.
What capabilities does gpt-4o-2024-05-13 support?
  • Supports function calling, enabling integration with external tools and APIs for extended functionality.
  • Includes vision capabilities to process and analyze images alongside text inputs.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • Supports structured response schemas for consistent, predictable output formatting.
  • Enables parallel function calling to execute multiple operations simultaneously for improved efficiency.

gpt-4o-2024-05-13 Pricing Overview

At $5.00 per 1M input tokens and $15.00 per 1M output tokens, gpt-4o-2024-05-13 ranks 2015 out of 2182 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 7% of models in this category.