---
title: "gpt-5.6-sol-disc Cost Calculator - Aihubmix"
description: "Calculate the cost of using gpt-5.6-sol-disc from Aihubmix. Input costs $4.00 and output $20.00 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/gpt-5.6-sol-disc"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/gpt-5.6-sol-disc.md"
---

# gpt-5.6-sol-disc Cost Calculator - Aihubmix

> Calculate the cost of using gpt-5.6-sol-disc from Aihubmix. Input costs $4.00 and output $20.00 per 1M tokens.

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## About gpt-5.6-sol-disc

gpt-5.6-sol-disc is a chat model from Aihubmix, one of 72 chat models they offer. It is priced at $4.00 per 1M input tokens and $20.00 per 1M output tokens, ranking 3283 out of 3639 chat models by cost and cheaper than 10% of models in this category. gpt-5.6-sol-disc supports vision, function calling, reasoning, prompt caching, structured output. Its 1,050K-token context window is in the top 3% among chat models.

## Pricing

Published Aihubmix pricing for gpt-5.6-sol-disc.

- **$4.00 / 1M tokens Input.**
- **$20.00 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **1,050,000 Max Input Tokens.**
- **128,000 Max Output Tokens.**
- **128,000 Max Tokens.**

## Model Capabilities

gpt-5.6-sol-disc supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema.

## How Pricing Compares

At $4.00 per 1M input tokens and $20.00 per 1M output tokens, gpt-5.6-sol-disc ranks 3283 out of 3639 chat models by input cost. It is more expensive compared to the median of $0.58 for chat models, and is cheaper than 10% of models in this category.

gpt-5.6-sol-disc is one of 72 Aihubmix chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,050K-token context window places it in the top 3% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs gpt-5.6-sol-disc |
| --- | --- | --- | --- | --- |
| us.anthropic.claude-sonnet-4-6 | AWS Bedrock | $3.30 | $16.50 | -17% |
| eu.anthropic.claude-sonnet-4-6 | AWS Bedrock | $3.30 | $16.50 | -17% |
| au.anthropic.claude-sonnet-4-6 | AWS Bedrock | $3.30 | $16.50 | -17% |
| jp.anthropic.claude-sonnet-4-6 | AWS Bedrock | $3.30 | $16.50 | -17% |
| au.anthropic.claude-sonnet-4-5-20250929-v1:0 | AWS Bedrock | $3.30 | $16.50 | -17% |

## More from Aihubmix

- [kimi-k3 ($3.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/kimi-k3.md)
- [claude-opus-4-8-think ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/claude-opus-4-8-think.md)
- [claude-opus-5 ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/claude-opus-5.md)
- [gpt-5.5 ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/gpt-5.5.md)

## Related Resources

- [All Aihubmix pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix.md)

## FAQ

### Is gpt-5.6-sol-disc cheaper than us.anthropic.claude-sonnet-4-6?

No. gpt-5.6-sol-disc costs $4.00 per 1M input tokens while us.anthropic.claude-sonnet-4-6 costs $3.30 per 1M input tokens, making us.anthropic.claude-sonnet-4-6 17% more affordable for input. However, gpt-5.6-sol-disc may offer different capabilities or performance characteristics that justify the price difference.

### How does gpt-5.6-sol-disc pricing compare to the average chat model?

gpt-5.6-sol-disc input pricing is $4.00 per 1M tokens, which is 590% above the median of $0.58 for chat models. It ranks 3283 out of 3639 chat models by input cost, making it cheaper than 10% of models in this category. For output, it costs $20.00 per 1M tokens compared to the median of $1.66.

### What makes gpt-5.6-sol-disc different from other Aihubmix models?

Among Aihubmix's 72 chat models, gpt-5.6-sol-disc ranks 66 by input cost.

### What are the best alternatives to gpt-5.6-sol-disc?

The most comparable chat models to gpt-5.6-sol-disc are: us.anthropic.claude-sonnet-4-6 from AWS Bedrock ($3.30/1M input tokens); eu.anthropic.claude-sonnet-4-6 from AWS Bedrock ($3.30/1M input tokens); au.anthropic.claude-sonnet-4-6 from AWS Bedrock ($3.30/1M input tokens); jp.anthropic.claude-sonnet-4-6 from AWS Bedrock ($3.30/1M 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 gpt-5.6-sol-disc's context window?

gpt-5.6-sol-disc supports up to 1,050,000 input tokens, placing it in the top 3% of chat models by context window size (rank 65 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

### How do I calculate gpt-5.6-sol-disc costs?

gpt-5.6-sol-disc 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 $4.00 and generating 1M output tokens costs $20.00.

## Related Resources

- [All Aihubmix pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix.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)
- [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/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/gpt-5.6-sol-disc](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/gpt-5.6-sol-disc) for AI/LLM consumption.*