MiMo-V2.6-Flash Intelligence, Performance & Price Analysis
Model summary
MiMo-V2.6-Flash is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also slower than average and very verbose. The model supports text and image input, outputs text, and has a 1M tokens context window.
MiMo-V2.6-Flash scores 38 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 18). When evaluating the Intelligence Index, it generated 240M tokens, which is very verbose in comparison to the median of 140M.
Pricing for MiMo-V2.6-Flash is $0.14 per 1M input tokens (moderately priced, median: $0.30) and $0.28 per 1M output tokens (moderately priced, median: $1.16). On average, it costs $0.06 per task to evaluate MiMo-V2.6-Flash on the Intelligence Index.
At 59 tokens per second, MiMo-V2.6-Flash is slower than average (85).
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 by Open Weights / Proprietary
Intelligence Evaluations
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-Flash
MiMo-V2.6-Flash was released on September 21, 2026.
MiMo-V2.6-Flash was created by Xiaomi.
MiMo-V2.6-Flash scores 38 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 18).
MiMo-V2.6-Flash generates output at 59.2 tokens per second (based on Xiaomi's API), which is below average compared to other open weight models of similar size (median: 85.4 t/s).
MiMo-V2.6-Flash has a time to first token (TTFT) of 3.58s (based on Xiaomi's API), which is at the higher end compared to other open weight models of similar size (median: 2.06s).
MiMo-V2.6-Flash costs $0.14 per 1M input tokens (very competitive, median: $0.44) and $0.28 per 1M output tokens (very competitive, median: $1.68), based on Xiaomi's API.
MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 per 1M output tokens (based on Xiaomi's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.06 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, MiMo-V2.6-Flash generated 240M output tokens, which is at the higher end compared to other open weight models of similar size (median: 140M).
Yes, MiMo-V2.6-Flash 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-Flash supports text and image input.
MiMo-V2.6-Flash supports text output.
Yes, MiMo-V2.6-Flash supports image input and can analyze, describe, and answer questions about images.
Yes, MiMo-V2.6-Flash is multimodal. It can process text and image input and generate text output.
MiMo-V2.6-Flash 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-Flash is open weights. The model weights are publicly available and can be downloaded for self-hosting.
MiMo-V2.6-Flash has 309 billion parameters (15 billion active).
MiMo-V2.6-Flash is a Mixture of Experts (MoE) model with 309 billion total parameters, but only 15 billion active parameters are used during inference.
MiMo-V2.6-Flash is released under the MIT license. This license allows commercial use.
MiMo-V2.6-Flash achieves a score of 38 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.