GPT-5 Mini
OpenAIUpdated March 2026. GPT-5 Mini by OpenAI: $0.25/M input, $2/M output tokens. 400K context, 16K max output. Vision & Function Calling. Free calculator + compare 40+ models.
Input Price
$0.25
per 1M tokens
Output Price
$2.00
per 1M tokens
Context Window
400K
tokens
Specifications
| Provider | OpenAI |
| Model ID | gpt-5-mini |
| Input Price | $0.25 / 1M tokens |
| Output Price | $2 / 1M tokens |
| Context Window | 400K tokens |
| Max Output | 16K tokens |
| Capabilities | textvisionfunction_callingstructured_output |
| Release Date | 2025-06 |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $0.34 | $4.05 |
| 50K | $1.69 | $20.25 |
| 100K | $3.38 | $40.50 |
| 500K | $16.88 | $202.50 |
| 1.0M | $33.75 | $405.00 |
About GPT-5 Mini
GPT-5 Mini is a large language model by OpenAI. It features a 400K token context window with up to 16K tokens of output per request. The model supports 4 capabilities: text, vision, function_calling, structured_output.
At $0.25 per million input tokens and $2 per million output tokens, GPT-5 Mini is positioned as a cost-effective option in the OpenAI lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
GPT-5 Mini Key Details
- Pricing: $0.25/M input tokens, $2/M output tokens
- Context window: 400K tokens — suitable for large documents and codebases
- Max output: 16K tokens per response
- Capabilities: text, vision, function_calling, structured_output
- Released: 2025-06
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FAQ
How much does GPT-5 Mini cost?
GPT-5 Mini costs $0.25 per million input tokens and $2 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $3.75/month.
What is GPT-5 Mini's context window?
GPT-5 Mini supports a context window of 400K tokens. This means your combined input prompt and output response can be up to 400K tokens. The maximum output per response is 16K tokens.
Is GPT-5 Mini good for my use case?
GPT-5 Mini supports text, vision, function_calling, structured_output. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.