MiMo-v2.6-Pro: Intelligence, Performance and Price Analysis

Xiaomi's MiMo-V2.6-Pro scored 46 on the Artificial Analysis Intelligence Index, well above the median of 18 for comparable open weight models, according to Artificial Analysis. The reasoning model has 1.0T total parameters with 42B active per token, a 1M-token context window, supports text, image, speech, and video input, and is priced at $0.43 per 1M input tokens and $0.87 per 1M output tokens, with a total cost of $206.66 to evaluate on the Intelligence Index. MiMo-V2.6-Pro runs at 125 tokens per second and is released under an MIT license with weights on Hugging Face.

MiMo-V2.6-Pro Intelligence, Performance & Price Analysis Model summary MiMo-V2.6-Pro is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also notably fast, however somewhat verbose. The model supports text, image, speech, and video input, outputs text, and has a 1M tokens context window. MiMo-V2.6-Pro scores 46 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 18 . When evaluating the Intelligence Index, it generated 140M tokens, which is somewhat verbose in comparison to the median of 140M. Pricing for MiMo-V2.6-Pro is $0.43 per 1M input tokens somewhat expensive, median: $0.30 and $0.87 per 1M output tokens moderately priced, median: $1.13 . In total, it cost $206.66 to evaluate MiMo-V2.6-Pro on the Intelligence Index. At 125 tokens per second, MiMo-V2.6-Pro is notably fast 75 . | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text, image, speech, and video | | Output modality | Supports: text | | Context window | 1M ~1500 A4 pages of size 12 Arial font | | Total parameters | 1.0T | | Active parameters | 42B Number of parameters active per token during inference | | License | MIT | | Model weights | Hugging Face https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL | Metrics are compared against models of the same class: - Non-reasoning models → compared only with other non-reasoning models - Reasoning models → compared across both reasoning and non-reasoning - Open weights models → compared only with other open weights models of the same size class: - Tiny: ≤4B parameters - Small: 4B–40B parameters - Medium: 40B–150B parameters - Large: 150B parameters - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - $1 per 1M tokens Highlights IntelligenceUpdated Artificial Analysis Intelligence Index https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index Artificial Analysis Intelligence Index by Open Weights / Proprietary Measures the performance of models on specific capabilities and industries Artificial Analysis Finance & Accounting Index https://artificialanalysis.ai/models/capabilities/finance-and-accounting Intelligence Evaluations AA-Briefcase v1.1 https://artificialanalysis.ai/evaluations/aa-briefcase Updated Agentic knowledge work, Elo-500 /2000 GDPval-AA v2.1 https://artificialanalysis.ai/evaluations/gdpval-aa Updated Agentic real-world work tasks, Elo-500 /2000 AutomationBench-AA https://artificialanalysis.ai/evaluations/automationbench-aa Updated Agentic SaaS workflows Agentic coding & terminal use Coding Reasoning & knowledge GDP.pdf https://artificialanalysis.ai/evaluations/gdp-pdf New Professional document reasoning, All-pass Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Legal agentic work, criterion pass rate Agentic business operations Quantitative analysis on spreadsheets & documents Agentic tool use Kubernetes incident root-cause analysis Visual reasoning MLCR-AA https://artificialanalysis.ai/evaluations/mlcr-aa New Medical long context reasoning AA-Briefcase v1.1Updated AA-Briefcase Elo AA-Omniscience AA-Omniscience Index Openness Index Artificial Analysis Openness Index: Score Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Speed Measured by Output Speed tokens per second Output Speed Time per Intelligence Index Task Latency Measured by Time seconds to First Token Latency: Time To First Answer Token End-to-End Response Time Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed End-to-End Response Time Model Size Open Weights Models Only Model Size: Total and Active Parameters Frequently Asked Questions Common questions about MiMo-V2.6-Pro MiMo-V2.6-Pro was released on September 21, 2026. MiMo-V2.6-Pro was created by Xiaomi. MiMo-V2.6-Pro scores 46 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size median: 18 . MiMo-V2.6-Pro generates output at 124.5 tokens per second based on Xiaomi's API , which is well above average compared to other open weight models of similar size median: 74.8 t/s . MiMo-V2.6-Pro has a time to first token TTFT of 2.34s based on Xiaomi's API , which is better than average compared to other open weight models of similar size median: 2.33s . MiMo-V2.6-Pro costs $0.43 per 1M input tokens better than average, median: $0.45 and $0.87 per 1M output tokens very competitive, median: $1.68 , based on Xiaomi's API. MiMo-V2.6-Pro costs $0.43 per 1M input tokens and $0.87 per 1M output tokens based on Xiaomi's API . For a blended rate 7:2:1 cache hit/input/output ratio , this is $0.18 per 1M tokens. Pricing may vary by provider. Compare provider pricing https://artificialanalysis.ai/models/mimo-v2-6-pro/providers When evaluated on the Intelligence Index, MiMo-V2.6-Pro generated 140M output tokens, which is somewhat higher than average compared to other open weight models of similar size median: 140M . Yes, MiMo-V2.6-Pro is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. MiMo-V2.6-Pro supports text, image, speech, and video input. MiMo-V2.6-Pro supports text output. Yes, MiMo-V2.6-Pro supports image input and can analyze, describe, and answer questions about images. Yes, MiMo-V2.6-Pro is multimodal. It can process text, image, speech, and video input and generate text output. MiMo-V2.6-Pro has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request. Yes, MiMo-V2.6-Pro is open weights. The model weights are publicly available and can be downloaded for self-hosting. MiMo-V2.6-Pro has 1.0 trillion parameters 42 billion active . MiMo-V2.6-Pro is a Mixture of Experts MoE model with 1.0 trillion total parameters, but only 42 billion active parameters are used during inference. MiMo-V2.6-Pro is released under the MIT license. This license allows commercial use. MiMo-V2.6-Pro achieves a score of 46 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, MiMo-V2.6-Pro is available via API through 1 provider. Compare API providers https://artificialanalysis.ai/models/mimo-v2-6-pro/providers MiMo-V2.6-Pro is available through 1 API provider. Compare providers https://artificialanalysis.ai/models/mimo-v2-6-pro/providers