--- title: "gpt-5.2 Cost Calculator - OpenRouter" description: "Calculate the cost of using gpt-5.2 from OpenRouter. Input costs $1.75 and output $14.00 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.2" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.2.md" --- # gpt-5.2 Cost Calculator - OpenRouter > Calculate the cost of using gpt-5.2 from OpenRouter. Input costs $1.75 and output $14.00 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About gpt-5.2 gpt-5.2 is a chat model from OpenRouter, one of 503 chat models they offer. It is priced at $1.75 per 1M input tokens and $14.00 per 1M output tokens, ranking 2794 out of 3791 chat models by cost and cheaper than 26% of models in this category. gpt-5.2 supports vision, function calling, reasoning, prompt caching, structured output. Its 400K-token context window is in the top 32% among chat models. ## Pricing Published OpenRouter pricing for gpt-5.2. - **$1.75 / 1M tokens Input.** - **$14.00 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **400,000 Max Input Tokens.** - **128,000 Max Output Tokens.** - **128,000 Max Tokens.** ## Model Capabilities gpt-5.2 supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema, Tool Choice, PDF Input. ## How Pricing Compares At $1.75 per 1M input tokens and $14.00 per 1M output tokens, gpt-5.2 ranks 2794 out of 3791 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-5.2 is one of 503 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 400K-token context window places it in the top 32% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs gpt-5.2 | | --- | --- | --- | --- | --- | | anthropic.claude-sonnet-5 | AWS Bedrock | $2.00 | $10.00 | +14% | | global.anthropic.claude-sonnet-5 | AWS Bedrock | $2.00 | $10.00 | +14% | | claude-sonnet-5 | Azure | $2.00 | $10.00 | +14% | | gpt-6-sol | Azure | $2.00 | $10.00 | +14% | | gpt-6.1-sol | Azure | $2.00 | $10.00 | +14% | ## More from OpenRouter - [gpt-5.3-codex ($1.75/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.3-codex.md) - [gpt-5.2-codex ($1.75/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.2-codex.md) - [gpt-5.2-chat ($1.75/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.2-chat.md) - [drama-3 ($2.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/drama-3.md) ## Related Resources - [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md) - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) ## FAQ ### Is gpt-5.2 cheaper than anthropic.claude-sonnet-5? Yes. gpt-5.2 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-5.2 pricing compare to the average chat model? gpt-5.2 input pricing is $1.75 per 1M tokens, which is 192% above the median of $0.60 for chat models. It ranks 2794 out of 3791 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-5.2 different from other OpenRouter models? Among OpenRouter's 503 chat models, gpt-5.2 ranks 342 by input cost. ### What are the best alternatives to gpt-5.2? The most comparable chat models to gpt-5.2 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 OpenRouter is down? You can monitor OpenRouter service health in real time on the Bifrost OpenRouter 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-5.2 costs? gpt-5.2 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. ## Related Resources - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.2](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gpt-5.2) for AI/LLM consumption.*