Model
Model explorer

MiMo-V2.5-Pro

OPEN
Xiaomi · MiMo family · released Apr 22, 2026

Xiaomi's flagship coding/agentic model, 1.02T total / 42B active MoE, 1M context, fully open-sourced under MIT. Optimized for very long agentic trajectories (1,000+ tool calls); unlike sibling MiMo-V2.5, it is text-only (no native image/video/audio encoders).

ReasoningCodingVisionFunction callingTool useAgentic
2199.4
Elo · rank #45
Parameters
1020B
Active params
42B (MoE)
Context
1M tokens
Architecture
Sparse MoE (384 routed experts, 8/token), 70 layers (1 dense + 69 MoE), hybrid Sliding-Window+Global attention 6:1 with learnable attention-sink bias, 3x MTP modules; text-only (no native vision/audio encoders)
License
MIT
Languages
API price (in/out)
$0.435 / $0.87
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
Arena EloHuman preference1466#4
best: Claude Fable 5 · 1505
GDPval-AAAgents1581#10
best: Claude Fable 5 · 1932
GPQA DiamondReasoning86.6%#49
best: GPT-5.6 · 94.6%
Humanity's Last ExamReasoning33.8%#38
best: Claude Sonnet 5 · 57.4%
IFBenchReasoning79.9%#5
best: MiniMax M3 · 83.0%
LiveCodeBenchCoding81.3%#45
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MMLU-ProKnowledge84.6%#31
best: Claude Fable 5 · 91.5%
PinchBenchAgents87.5%#4
best: Trinity-Large-Thinking · 91.9%
SWE-bench ProCoding57.2%#18
best: Claude Fable 5 · 80.0%
SWE-bench VerifiedCoding74.0%#45
best: Claude Fable 5 · 95.0%
τ²-Bench TelecomAgents94.2%#15
best: Claude Opus 4.6 · 99.3%
τ³-BankingAgents8.7%#3
best: Grok 4.5 · 33.0%
Terminal-Bench 2.0Coding57.3%#36
best: GPT-5.6 · 88.8%
Run it locally
VRAM @ Q4
VRAM @ FP16
Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
MiMo family
Elo progression across releases
API price $0.435/$0.87 · each benchmark row carries its own source badge (see methodology)