--- title: "mimo-v2.5 - Model Details & Comparison" description: "mimo-v2.5 from Novita: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/novita/mimo-v2.5" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/novita/mimo-v2.5.md" --- # mimo-v2.5 - Model Details & Comparison > mimo-v2.5 from Novita: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## 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 mimo-v2.5 mimo-v2.5 is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.17 per 1M input tokens and $0.34 per 1M output tokens, ranking 843 out of 3648 chat models by cost and cheaper than 77% of models in this category. mimo-v2.5 supports vision, function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 11% among chat models. ## Specifications - **Novita Provider.** - **Chat Mode.** - **1,048,576 Max Input Tokens.** - **131,072 Max Output Tokens.** - **131,072 Max Tokens.** - **$0.17 / 1M tokens Input Price.** - **$0.34 / 1M tokens Output Price.** ## Capabilities mimo-v2.5 supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema, Tool Choice. ## mimo-v2.5 Pricing Overview At $0.17 per 1M input tokens and $0.34 per 1M output tokens, mimo-v2.5 ranks 843 out of 3648 chat models by input cost. It is more affordable compared to the median of $0.57 for chat models, and is cheaper than 77% of models in this category. mimo-v2.5 is one of 130 Novita chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 11% of chat models. ## Models to Compare Alternatives to mimo-v2.5 with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | gpt-5.4-nano | Azure | $0.20 | $1.25 | | gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | | gpt-5.6-luna | Azure | $0.20 | $1.20 | | gpt-5.6-luna-2026-07-09 | Azure | $0.20 | $1.20 | | GLM-5.3-Flash | FriendliAI | $0.15 | $0.50 | - [Compare gpt-5.4-nano](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.4-nano.md) - [Compare gpt-5.4-nano-2026-03-17](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.4-nano-2026-03-17.md) - [Compare gpt-5.6-luna](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.6-luna.md) - [Compare gpt-5.6-luna-2026-07-09](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.6-luna-2026-07-09.md) - [Compare GLM-5.3-Flash](https://www.getmaxim.ai/bifrost/model-library/compare/friendliai/glm-5.3-flash.md) ## Related Resources - [Calculate mimo-v2.5 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/novita/model/mimo-v2.5.md) - [All Novita pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/novita.md) ## FAQ ### Is mimo-v2.5 cheaper than gpt-5.4-nano? Yes. mimo-v2.5 costs $0.17 per 1M input tokens compared to gpt-5.4-nano's $0.20 per 1M input tokens, making it 19% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output. ### How does mimo-v2.5 pricing compare to the average chat model? mimo-v2.5 input pricing is $0.17 per 1M tokens, which is 70% below the median of $0.57 for chat models. It ranks 843 out of 3648 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.34 per 1M tokens compared to the median of $1.65. ### What makes mimo-v2.5 different from other Novita models? Among Novita's 130 chat models, mimo-v2.5 ranks 45 by input cost. ### What are the best alternatives to mimo-v2.5? The most comparable chat models to mimo-v2.5 are: gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-5.6-luna from Azure ($0.20/1M input tokens); gpt-5.6-luna-2026-07-09 from Azure ($0.20/1M 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 mimo-v2.5's context window? mimo-v2.5 supports up to 1,048,576 input tokens, placing it in the top 11% of chat models by context window size (rank 257 of 3577). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate mimo-v2.5 costs? mimo-v2.5 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 $0.17 and generating 1M output tokens costs $0.34. ## Related Resources - [Novita models](https://www.getmaxim.ai/bifrost/model-library/provider/novita.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) - [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/model-library/compare/novita/mimo-v2.5](https://www.getmaxim.ai/bifrost/model-library/compare/novita/mimo-v2.5) for AI/LLM consumption.*