Xiaomi MiMo V2.6 Pro
With 1.02 trillion total parameters, MiMo-V2.6-Pro-RL by Xiaomi is currently the largest model with fully open weights. Approximately 42 billion parameters activate per token, trained in a single mixed reinforcement learning run across coding, agent, and safety tasks; the accompanying live dashboard of the training process provided unusual transparency. Omnimodal for text, image, video, and audio, context up to 1 million tokens, MIT license.
- Open Weights
- Frontier
- OpenRouter
- Text
- Vision
- Video
- Audio
- Instruction-Tuned
- Agentic Orchestrator
- Batch
Sovereign Risk: MEDIUM Xiaomi releases MiMo-V2.6-Pro-RL under MIT with fully open weights, which significantly improves operational provenance for local deployment. As a Chinese developer, however, Xiaomi remains subject to national laws, which remains relevant when using the model via Xiaomi’s own API platform; with local self-hosting, the operational risk is substantially reduced.[448][444]
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 78.34
- Routine
- 47.04
- Reasoning
- 31.3
- LLM Judge Avg
- 3.98 / 5
- 100 Coverage
- Avg Task Duration
- 87.82s
- Batch
- Token Rate
- 27.08tok/s
- Output Rate
- P95 Latency
- 324.98s
- Top 5 %
- Total Tokens
- 163700
- Output Volume
- Cost per 1K
- $0.0009
- USD / 1K Requests
- Benchmark Cost
- $0.14
- Total · 163700 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze / Standard).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.