Calculate the cost of using mimo-v2.6-flash from Xiaomi Mimo for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 131,072 tokens
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mimo-v2.6-flash is a chat model from Xiaomi Mimo, one of 2 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, ranking 634 out of 3501 chat models by cost and cheaper than 82% of models in this category. mimo-v2.6-flash supports vision, function calling, reasoning, audio input, prompt caching, structured output — one of only 9 chat models with this combination. Its 1,049K-token context window is in the top 13% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 131,072 tokens.
At $0.14 per 1M input tokens and $0.28 per 1M output tokens, mimo-v2.6-flash ranks 634 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 82% of models in this category.
mimo-v2.6-flash is one of 2 Xiaomi Mimo chat models, one of only 9 chat models combining audio input, function calling, prompt caching, reasoning, structured output, vision. its 1,049K-token context window places it in the top 13% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs mimo-v2.6-flash |
|---|---|---|---|---|
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | +7% |
| qwen3.8-omni-flash | Qwen Ai Platform | $0.15 | $0.47 | +7% |
| mimo-v2.5 | OpenRouter | $0.14 | $0.28 | 0% |
Similar chat models from other providers
Yes. mimo-v2.6-flash costs $0.14 per 1M input tokens compared to qwen3.8-omni-flash's $0.15 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, audio input, web search, prompt caching, structured output.
mimo-v2.6-flash input pricing is $0.14 per 1M tokens, which is 77% below the median of $0.60 for chat models. It ranks 634 out of 3501 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.71.
Among Xiaomi Mimo's 2 chat models, mimo-v2.6-flash ranks 1 by input cost. Its combination of audio input, function calling, prompt caching, reasoning, structured output, vision is shared by only 8 other chat models.
The most comparable chat models to mimo-v2.6-flash are: qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($0.15/1M input tokens); mimo-v2.5 from OpenRouter ($0.14/1M input tokens); gemini-2.5-flash:batch from OpenRouter ($0.15/1M 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.
mimo-v2.6-flash supports up to 1,048,576 input tokens, placing it in the top 13% of chat models by context window size (rank 325 of 3230). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
mimo-v2.6-flash 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 $0.14 and generating 1M output tokens costs $0.28.