DevTk.AI

GPT-5

OpenAI

Updated March 2026. GPT-5 by OpenAI: $1.25/M input, $10/M output tokens. 400K context, 128K max output. Vision & Audio. Free calculator + compare 40+ models.

Input Price

$1.25

per 1M tokens

Output Price

$10.00

per 1M tokens

Context Window

400K

tokens

Specifications

ProviderOpenAI
Model IDgpt-5
Input Price$1.25 / 1M tokens
Output Price$10 / 1M tokens
Context Window400K tokens
Max Output128K tokens
Capabilities
textvisionaudiofunction_callingstructured_output
Release Date2025-06

Monthly Cost Estimates

Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).

Daily TokensMonthly CostAnnual Cost
10K $1.69 $20.25
50K $8.44 $101.25
100K $16.88 $202.50
500K $84.38 $1012.50
1.0M $168.75 $2025.00

About GPT-5

GPT-5 is a large language model by OpenAI. It features a 400K token context window with up to 128K tokens of output per request. The model supports 5 capabilities: text, vision, audio, function_calling, structured_output.

At $1.25 per million input tokens and $10 per million output tokens, GPT-5 is positioned as a mid-range 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 Key Details

  • Pricing: $1.25/M input tokens, $10/M output tokens
  • Context window: 400K tokens — suitable for large documents and codebases
  • Max output: 128K tokens per response
  • Capabilities: text, vision, audio, function_calling, structured_output
  • Released: 2025-06

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FAQ

How much does GPT-5 cost?

GPT-5 costs $1.25 per million input tokens and $10 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $18.75/month.

What is GPT-5's context window?

GPT-5 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 128K tokens.

Is GPT-5 good for my use case?

GPT-5 supports text, vision, audio, function_calling, structured_output. As a mid-range model, it balances capability and cost for most production use cases. Use our Pricing Calculator to compare with alternatives.