● Covered by 1 source · 1 reportLow impact1 neutral
MiMo-V2.6-Pro Model Analysis: Intelligence, Performance, and Pricing Detailed
Key points
- MiMo-V2.6-Pro scores 46 on the Artificial Analysis Intelligence Index.
- It supports text, image, speech, and video input, with text output.
- The model has a 1M token context window and processes 125 tokens/second.
- Input tokens cost $0.43/1M, output tokens cost $0.87/1M.
Model Overview and Intelligence
MiMo-V2.6-Pro is an open-weight model that supports text, image, speech, and video input, outputting text. It features a 1M token context window. The model achieved a score of 46 on the Artificial Analysis Intelligence Index, which is above the median score of 18 for similar models.
Performance Metrics
In terms of speed, MiMo-V2.6-Pro processes 125 tokens per second. During its evaluation on the Intelligence Index, the model generated 140M tokens, which is comparable to the median output for such evaluations.
Pricing Structure
The pricing for MiMo-V2.6-Pro is set at $0.43 per 1M input tokens, which is considered somewhat expensive compared to the median of $0.30. Output tokens are priced at $0.87 per 1M, which is moderately priced against a median of $1.13. The total cost to evaluate MiMo-V2.6-Pro on the Intelligence Index was $206.66.
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Primary sources
GitHub meta-llama/llama-models GitHub deepseek-ai/DeepSeek-V2 GitHub QwenLM/Qwen GitHub deepseek-ai/deepseek-LLM GitHub deepseek-ai/DeepSeek-Coder-V2 GitHub MiniMax-AI/MiniMax-M2Reporting from
An analysis of the MiMo-V2.6-Pro model shows it scores 46 on the Artificial Analysis Intelligence Index, placing it above the median of 18 for comparable models. The model supports multimodal input, has a 1M token context window, and processes 125 tokens per second, but its input token pricing is somewhat expensive at $0.43 per 1M tokens.