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codex-auto-review Cost Calculator - OpenAI

Calculate the cost of using codex-auto-review from OpenAI for your AI applications

Pricing data last updated:

codex-auto-review Cost Calculator

Mode: Chat

Max: 1,050,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.002500
Output Cost$0.015000
Total Cost$0.017500

Pricing Details

Input: $0.00000250 per token
Output: $0.00001500 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens1,050,000
Max Output Tokens128,000
Max Tokens128,000

About codex-auto-review

codex-auto-review is a chat model from OpenAI, one of 98 chat models they offer. It is priced at $2.50 per 1M input tokens and $15.00 per 1M output tokens, ranking 1775 out of 2168 chat models by cost and cheaper than 18% of models in this category. codex-auto-review supports vision, function calling, reasoning, prompt caching, structured output. Its 1,050K-token context window is in the top 2% among chat models.

Pricing Information

Input Cost$2.50 per 1M tokens
Output Cost$15.00 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,050,000
Maximum Output Tokens128,000
Maximum Total Tokens128,000

Pro Tip

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

How codex-auto-review Pricing Compares

At $2.50 per 1M input tokens and $15.00 per 1M output tokens, codex-auto-review ranks 1775 out of 2168 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 18% of models in this category.

codex-auto-review is one of 98 OpenAI chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,050K-token context window places it in the top 2% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs codex-auto-review
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50-12%
apac.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50-12%
eu.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50-12%

Alternatives to codex-auto-review

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs codex-auto-review
AWS Bedrock
apac.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs codex-auto-review
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs codex-auto-review
AWS Bedrock
us.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs codex-auto-review
AWS Bedrock
anthropic.claude-3-7-sonnet-20250219-v1:0
$3.00/1M input
+20% vs codex-auto-review

Frequently Asked Questions

Is codex-auto-review cheaper than amazon.nova-2-pro-preview-20251202-v1:0?

No. codex-auto-review costs $2.50 per 1M input tokens while amazon.nova-2-pro-preview-20251202-v1:0 costs $2.19 per 1M input tokens, making amazon.nova-2-pro-preview-20251202-v1:0 12% more affordable for input. However, codex-auto-review may offer different capabilities or performance characteristics that justify the price difference.

How does codex-auto-review pricing compare to the average chat model?

codex-auto-review input pricing is $2.50 per 1M tokens, which is 355% above the median of $0.55 for chat models. It ranks 1775 out of 2168 chat models by input cost, making it cheaper than 18% of models in this category. For output, it costs $15.00 per 1M tokens compared to the median of $1.44.

What makes codex-auto-review different from other OpenAI models?

Among OpenAI's 98 chat models, codex-auto-review ranks 67 by input cost.

What are the best alternatives to codex-auto-review?

The most comparable chat models to codex-auto-review are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M 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.

How large is codex-auto-review's context window?

codex-auto-review supports up to 1,050,000 input tokens, placing it in the top 2% of chat models by context window size (rank 35 of 2093). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenAI is down?

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.

How do I calculate codex-auto-review costs?

codex-auto-review 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 $2.50 and generating 1M output tokens costs $15.00.