--- title: "minimax-m3 - Model Details & Comparison" description: "minimax-m3 from Inferenceapis: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/inferenceapis/minimax-m3" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/inferenceapis/minimax-m3.md" --- # minimax-m3 - Model Details & Comparison > minimax-m3 from Inferenceapis: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## 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 minimax-m3 minimax-m3 is a chat model from Inferenceapis, one of 36 chat models they offer. It is priced at $0.39 per 1M input tokens and $1.56 per 1M output tokens, ranking 1595 out of 3793 chat models by cost and cheaper than 58% of models in this category. minimax-m3 supports function calling, reasoning, prompt caching. Its 524K-token context window is in the top 29% among chat models. ## Specifications - **Inferenceapis Provider.** - **Chat Mode.** - **524,288 Max Input Tokens.** - **524,288 Max Tokens.** - **$0.39 / 1M tokens Input Price.** - **$1.56 / 1M tokens Output Price.** ## Capabilities minimax-m3 supports: Function Calling, Reasoning, Prompt Caching, Tool Choice. ## minimax-m3 Pricing Overview At $0.39 per 1M input tokens and $1.56 per 1M output tokens, minimax-m3 ranks 1595 out of 3793 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 58% of models in this category. minimax-m3 is one of 36 Inferenceapis chat models, with support for function calling, reasoning, prompt caching. its 524K-token context window places it in the top 29% of chat models. ## Models to Compare Alternatives to minimax-m3 with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.40 | $3.31 | | eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.43 | $3.60 | | us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | | FW-MiniMax-M2.5 | Azure | $0.33 | $1.32 | | FW-MiniMax-M3 | Azure | $0.33 | $1.32 | - [Compare apac.amazon.nova-2-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/apac.amazon.nova-2-lite-v1-0.md) - [Compare eu.amazon.nova-2-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/eu.amazon.nova-2-lite-v1-0.md) - [Compare us.amazon.nova-2-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.amazon.nova-2-lite-v1-0.md) - [Compare FW-MiniMax-M2.5](https://www.getmaxim.ai/bifrost/model-library/compare/azure/fw-minimax-m2.5.md) - [Compare FW-MiniMax-M3](https://www.getmaxim.ai/bifrost/model-library/compare/azure/fw-minimax-m3.md) ## Related Resources - [Calculate minimax-m3 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/minimax-m3.md) - [All Inferenceapis pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis.md) ## FAQ ### Is minimax-m3 cheaper than apac.amazon.nova-2-lite-v1:0? Yes. minimax-m3 costs $0.39 per 1M input tokens compared to apac.amazon.nova-2-lite-v1:0's $0.40 per 1M input tokens, making it 2% 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 $0.39 per 1M tokens, which is 35% below the median of $0.60 for chat models. It ranks 1595 out of 3793 chat models by input cost, making it cheaper than 58% of models in this category. For output, it costs $1.56 per 1M tokens compared to the median of $1.75. ### What makes minimax-m3 different from other Inferenceapis models? Among Inferenceapis's 36 chat models, minimax-m3 ranks 25 by input cost. ### What are the best alternatives to minimax-m3? The most comparable chat models to minimax-m3 are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.40/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.43/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); FW-MiniMax-M2.5 from Azure ($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 524,288 input tokens, placing it in the top 29% of chat models by context window size (rank 1072 of 3746). 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 $0.39 and generating 1M output tokens costs $1.56. ## Related Resources - [Inferenceapis models](https://www.getmaxim.ai/bifrost/model-library/provider/inferenceapis.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.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/model-library/compare/inferenceapis/minimax-m3](https://www.getmaxim.ai/bifrost/model-library/compare/inferenceapis/minimax-m3) for AI/LLM consumption.*