Calculate the cost of using gpt-5.5-codex from OpenAI for your AI applications
Pricing data last updated:
Mode: Responses
Max: 1,050,000 tokens
Max: 128,000 tokens
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gpt-5.5-codex is a responses model from OpenAI, one of 24 responses models they offer. It is priced at $5.00 per 1M input tokens and $30.00 per 1M output tokens, ranking 26 out of 51 responses models by cost and cheaper than 49% of models in this category. gpt-5.5-codex supports vision, function calling, reasoning, web search, prompt caching, structured output. Its 1,050K-token context window is in the top 18% among responses models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,050,000 input tokens. The maximum output length is 128,000 tokens.
At $5.00 per 1M input tokens and $30.00 per 1M output tokens, gpt-5.5-codex ranks 26 out of 51 responses models by input cost. It is competitively priced compared to the median of $5.00 for responses models, and is cheaper than 49% of models in this category.
gpt-5.5-codex is one of 24 OpenAI responses models, with support for vision, function calling, reasoning, web search, prompt caching, structured output. its 1,050K-token context window places it in the top 18% of responses models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gpt-5.5-codex |
|---|---|---|---|---|
| openai.gpt-5.5 | Bedrock Mantle | $5.50 | $33.00 | +10% |
| o3-deep-research | Azure | $10.00 | $40.00 | +100% |
| openai.gpt-5.4 | Bedrock Mantle | $2.75 | $16.50 | -45% |
Similar responses models from other providers
Yes. gpt-5.5-codex costs $5.00 per 1M input tokens compared to openai.gpt-5.5's $5.50 per 1M input tokens, making it 10% more affordable. Both are responses models and share support for vision, function calling, reasoning, prompt caching, structured output.
gpt-5.5-codex input pricing is $5.00 per 1M tokens, which is 0% at the median of $5.00 for responses models. It ranks 26 out of 51 responses models by input cost, making it cheaper than 49% of models in this category. For output, it costs $30.00 per 1M tokens compared to the median of $30.00.
Among OpenAI's 24 responses models, gpt-5.5-codex ranks 10 by input cost.
The most comparable responses models to gpt-5.5-codex are: openai.gpt-5.5 from Bedrock Mantle ($5.50/1M input tokens); o3-deep-research from Azure ($10.00/1M input tokens); openai.gpt-5.4 from Bedrock Mantle ($2.75/1M input tokens); gpt-5.2-pro from Azure ($21.00/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
gpt-5.5-codex supports up to 1,050,000 input tokens, placing it in the top 18% of responses models by context window size (rank 9 of 51). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenAI service health in real time on the Bifrost OpenAI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
gpt-5.5-codex is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $5.00 and generating 1M output tokens costs $30.00.
