--- title: "minimax-m3 Cost Calculator - Aihubmix" description: "Calculate the cost of using minimax-m3 from Aihubmix. Input costs $0.29 and output $1.15 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/minimax-m3" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/minimax-m3.md" --- # minimax-m3 Cost Calculator - Aihubmix > Calculate the cost of using minimax-m3 from Aihubmix. Input costs $0.29 and output $1.15 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About minimax-m3 minimax-m3 is a chat model from Aihubmix, one of 72 chat models they offer. It is priced at $0.29 per 1M input tokens and $1.15 per 1M output tokens, ranking 1288 out of 3639 chat models by cost and cheaper than 65% of models in this category. minimax-m3 supports vision, function calling, reasoning, structured output. Its 1,000K-token context window is in the top 23% among chat models. ## Pricing Published Aihubmix pricing for minimax-m3. - **$0.29 / 1M tokens Input.** - **$1.15 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **1,000,000 Max Input Tokens.** - **524,288 Max Output Tokens.** - **524,288 Max Tokens.** ## Model Capabilities minimax-m3 supports: Function Calling, Vision, Reasoning, Response Schema. ## How Pricing Compares At $0.29 per 1M input tokens and $1.15 per 1M output tokens, minimax-m3 ranks 1288 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 65% of models in this category. minimax-m3 is one of 72 Aihubmix chat models, with support for vision, function calling, reasoning, structured output. its 1,000K-token context window places it in the top 23% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs minimax-m3 | | --- | --- | --- | --- | --- | | amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | +4% | | apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +15% | | eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +15% | | us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +15% | | gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | -5% | ## More from Aihubmix - [qwen3.7-plus ($0.28/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/qwen3.7-plus.md) - [gemini-3.5-flash-lite ($0.30/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/gemini-3.5-flash-lite.md) - [minimax-m2.7 ($0.30/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/minimax-m2.7.md) - [qwen3.6-35b-a3b ($0.25/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/qwen3.6-35b-a3b.md) ## Related Resources - [All Aihubmix pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix.md) ## FAQ ### Is minimax-m3 cheaper than amazon.nova-2-lite-v1:0? Yes. minimax-m3 costs $0.29 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 4% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output. ### How does minimax-m3 pricing compare to the average chat model? minimax-m3 input pricing is $0.29 per 1M tokens, which is 50% below the median of $0.58 for chat models. It ranks 1288 out of 3639 chat models by input cost, making it cheaper than 65% of models in this category. For output, it costs $1.15 per 1M tokens compared to the median of $1.66. ### What makes minimax-m3 different from other Aihubmix models? Among Aihubmix's 72 chat models, minimax-m3 ranks 22 by input cost. ### What are the best alternatives to minimax-m3? The most comparable chat models to minimax-m3 are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M 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 minimax-m3's context window? minimax-m3 supports up to 1,000,000 input tokens, placing it in the top 23% of chat models by context window size (rank 703 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate minimax-m3 costs? minimax-m3 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 $0.29 and generating 1M output tokens costs $1.15. ## 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/minimax-m3](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/minimax-m3) for AI/LLM consumption.*