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gpt-5.3-codex-spark Cost Calculator - OpenAI

Calculate the cost of using gpt-5.3-codex-spark from OpenAI for your AI applications

Pricing data last updated:

gpt-5.3-codex-spark Cost Calculator

Mode: Chat

Max: 100,000 tokens

Max: 32,000 tokens

Cost Breakdown

Input Cost$0.001750
Output Cost$0.014000
Total Cost$0.015750

Pricing Details

Input: $0.00000175 per token
Output: $0.00001400 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens100,000
Max Output Tokens32,000
Max Tokens32,000

About gpt-5.3-codex-spark

gpt-5.3-codex-spark is a chat model from OpenAI, one of 100 chat models they offer. It is priced at $1.75 per 1M input tokens and $14.00 per 1M output tokens, ranking 2790 out of 3778 chat models by cost and cheaper than 26% of models in this category. gpt-5.3-codex-spark supports vision, function calling, reasoning, prompt caching, structured output. It accepts up to 100K input tokens.

Pricing Information

Input Cost$1.75 per 1M tokens
Output Cost$14.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens100,000
Maximum Output Tokens32,000
Maximum Total Tokens32,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 100,000 input tokens. The maximum output length is 32,000 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
✓Response Schema - Structured output formatting

How gpt-5.3-codex-spark Pricing Compares

At $1.75 per 1M input tokens and $14.00 per 1M output tokens, gpt-5.3-codex-spark ranks 2790 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 26% of models in this category.

gpt-5.3-codex-spark is one of 100 OpenAI chat models, with support for vision, function calling, reasoning, prompt caching, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gpt-5.3-codex-spark
anthropic.claude-sonnet-5AWS Bedrock$2.00$10.00+14%
global.anthropic.claude-sonnet-5AWS Bedrock$2.00$10.00+14%
claude-sonnet-5Azure$2.00$10.00+14%

Alternatives to gpt-5.3-codex-spark

Similar chat models from other providers

AWS Bedrock
anthropic.claude-sonnet-5
$2.00/1M input
+14% vs gpt-5.3-codex-spark
AWS Bedrock
global.anthropic.claude-sonnet-5
$2.00/1M input
+14% vs gpt-5.3-codex-spark
Azure
claude-sonnet-5
$2.00/1M input
+14% vs gpt-5.3-codex-spark
Azure
gpt-6-sol
$2.00/1M input
+14% vs gpt-5.3-codex-spark
Azure
gpt-6.1-sol
$2.00/1M input
+14% vs gpt-5.3-codex-spark

Frequently Asked Questions

Is gpt-5.3-codex-spark cheaper than anthropic.claude-sonnet-5?

Yes. gpt-5.3-codex-spark costs $1.75 per 1M input tokens compared to anthropic.claude-sonnet-5's $2.00 per 1M input tokens, making it 14% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does gpt-5.3-codex-spark pricing compare to the average chat model?

gpt-5.3-codex-spark input pricing is $1.75 per 1M tokens, which is 192% above the median of $0.60 for chat models. It ranks 2790 out of 3778 chat models by input cost, making it cheaper than 26% of models in this category. For output, it costs $14.00 per 1M tokens compared to the median of $1.75.

What makes gpt-5.3-codex-spark different from other OpenAI models?

Among OpenAI's 100 chat models, gpt-5.3-codex-spark ranks 47 by input cost.

What are the best alternatives to gpt-5.3-codex-spark?

The most comparable chat models to gpt-5.3-codex-spark are: anthropic.claude-sonnet-5 from AWS Bedrock ($2.00/1M input tokens); global.anthropic.claude-sonnet-5 from AWS Bedrock ($2.00/1M input tokens); claude-sonnet-5 from Azure ($2.00/1M input tokens); gpt-6-sol from Azure ($2.00/1M 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.

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 gpt-5.3-codex-spark costs?

gpt-5.3-codex-spark 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 $1.75 and generating 1M output tokens costs $14.00.