Long Context
70
U2
62.3
GLM-5.1
62.7
DeepSeek-V4-Flash(High)
66.3
Hy3 Preview
69.5
Minimax M2.7
AA-LCR
Unisound U2
Native Agent model — faster, leaner, stronger
Redefining speed, cost, and reliable execution with dense intelligence
Unisound U2: Native Agent model — faster, leaner, stronger
Unisound launches Unisound U2, its next-generation flagship model built on high intelligence density, high Token value, and native agent capabilities. With refined knowledge encoding and dense semantic representation, U2 delivers strong capability at a smaller scale, higher value per Token, lower inference cost, and competitive performance versus much larger models. Native reasoning-path distillation enables autonomous task decomposition, execution, verification, and optimization — forming a full-loop foundation for the next generation of AI Agents.
Benchmarks
Multi-dimensional authoritative benchmarks focused on long-context reasoning and native Agent execution.
U2 modelOther models
Knowledge & Reasoning
87.9
U2
86.2
GLM-5.1
87.2
Hy3 Preview
87.4
DeepSeek-V4-Flash(High)
87.4
Minimax M2.7
GPQA Diamond
Instruction Following
77.3
U2
63.1
Hy3 Preview
73.5
DeepSeek-V4-Flash(High)
75.7
Minimax M2.7
76.3
GLM-5.1
IFBench
Agentic Capacity
75
U2
72.8
GLM-5
74.4
Hy3 Preview
78.6
DeepSeek-V4-Flash(High)
80.2
Minimax M2.5
SWE-Bench Verified
Agentic Capacity
72.9
U2
70.5
DeepSeek-V4-Flash(High)
74.1
Minimax M2.7
74.5
GLM-5.1
GDPval
Claw Specific
76.9
U2
55
Hy3 Preview
74
DeepSeek-V4-Flash(High)
74.4
Minimax M2.7
80.4
GLM-5.1
Claw-Eval(pass@3)
Core capabilities
Built on a sparse MoE architecture with 266B total parameters and 10B active, Token usage is about 25% of trillion-scale dense models, forming a systematic capability matrix across key technical paths.
Full-stack software engineering
From code generation to end-to-end delivery, with 92% output adoption
- Code generation & refactoring: high-quality code with proactive optimization
- Multi-file projects: cross-file coordination with consistent dependencies and APIs
- Long-horizon orchestration: autonomous multi-step workflows for complex goals
Agent tool ecosystem
From single-tool calls to autonomous orchestration across mainstream ecosystems
- Multi-Harness orchestration: flexible scheduling across execution frameworks
- Tool chaining: compose tools and break long goals into executable sub-tasks
- Environment & multi-agent collaboration: dynamic strategy and task handoff
Deep reasoning & decision-making
Low-variance execution with deeper thinking using fewer Tokens
- Decision planning: trade-offs under constraints for optimal execution paths
- Long-context reasoning: global understanding without losing key information
- Implicit chain-of-thought: internalized reasoning with fewer Tokens
Real-world cases
All cases below were generated by U2 Agent, spanning multiple domains — see Unisound U2 deliver autonomously from requirements to completion.
Sea Spirit
Immersive science interactive web pages from scratch — content, interaction logic, and visuals in one delivery
Unistgam Social Platform
Automatically generate quarterly business review reports, saving significant manual effort
New Energy Vehicle Industry Analysis Report
Auto-generate industry-grade deep analysis PPT — from data collection to insight extraction, fully autonomous
Low-Altitude Airspace Management & Safety Evolution
Long-form deep research with professional trend analysis reports completed autonomously
Classic Tetris
Complete interactive games from scratch — logic, rendering, and interaction in one step
Multi-Pendulum Chaos Simulator
Real-time simulation and visualization of complex physical systems with precise dynamic interaction
Business Analysis Report
Automatically generate business analysis reports — data insights replace manual compilation
BI Analytics Platform
Auto-generate data dashboards, replacing manual board setup — all dimensions at a glance
Flexible pricing, custom solutions, private deployment
Unisound U2: Native Agent model — faster, leaner, stronger
Unisound launches Unisound U2, its next-generation flagship model built on high intelligence density, high Token value, and native agent capabilities. With refined knowledge encoding and dense semantic representation, U2 delivers strong capability at a smaller scale, higher value per Token, lower inference cost, and competitive performance versus much larger models. Native reasoning-path distillation enables autonomous task decomposition, execution, verification, and optimization — forming a full-loop foundation for the next generation of AI Agents.
Benchmarks
Multi-dimensional authoritative benchmarks focused on long-context reasoning and native Agent execution.
U2 modelOther models
Long Context
70
U2
62.3
GLM-5.1
62.7
DeepSeek-V4-Flash(High)
66.3
Hy3 Preview
69.5
Minimax M2.7
AA-LCR
Knowledge & Reasoning
87.9
U2
86.2
GLM-5.1
87.2
Hy3 Preview
87.4
DeepSeek-V4-Flash(High)
87.4
Minimax M2.7
GPQA Diamond
Instruction Following
77.3
U2
63.1
Hy3 Preview
73.5
DeepSeek-V4-Flash(High)
75.7
Minimax M2.7
76.3
GLM-5.1
IFBench
Agentic Capacity
75
U2
72.8
GLM-5
74.4
Hy3 Preview
78.6
DeepSeek-V4-Flash(High)
80.2
Minimax M2.5
SWE-Bench Verified
Agentic Capacity
72.9
U2
70.5
DeepSeek-V4-Flash(High)
74.1
Minimax M2.7
74.5
GLM-5.1
GDPval
Claw Specific
76.9
U2
55
Hy3 Preview
74
DeepSeek-V4-Flash(High)
74.4
Minimax M2.7
80.4
GLM-5.1
Claw-Eval(pass@3)
Core capabilities
Built on a sparse MoE architecture with 266B total parameters and 10B active, Token usage is about 25% of trillion-scale dense models, forming a systematic capability matrix across key technical paths.
Full-stack software engineering
From code generation to end-to-end delivery, with 92% output adoption
- Code generation & refactoring: high-quality code with proactive optimization
- Multi-file projects: cross-file coordination with consistent dependencies and APIs
- Long-horizon orchestration: autonomous multi-step workflows for complex goals
Agent tool ecosystem
From single-tool calls to autonomous orchestration across mainstream ecosystems
- Multi-Harness orchestration: flexible scheduling across execution frameworks
- Tool chaining: compose tools and break long goals into executable sub-tasks
- Environment & multi-agent collaboration: dynamic strategy and task handoff
Deep reasoning & decision-making
Low-variance execution with deeper thinking using fewer Tokens
- Decision planning: trade-offs under constraints for optimal execution paths
- Long-context reasoning: global understanding without losing key information
- Implicit chain-of-thought: internalized reasoning with fewer Tokens
Real-world cases
All cases below were generated by U2 Agent, spanning multiple domains — see Unisound U2 deliver autonomously from requirements to completion.
Sea Spirit
Immersive science interactive web pages from scratch — content, interaction logic, and visuals in one delivery
Unistgam Social Platform
Automatically generate quarterly business review reports, saving significant manual effort
New Energy Vehicle Industry Analysis Report
Auto-generate industry-grade deep analysis PPT — from data collection to insight extraction, fully autonomous
Low-Altitude Airspace Management & Safety Evolution
Long-form deep research with professional trend analysis reports completed autonomously
Classic Tetris
Complete interactive games from scratch — logic, rendering, and interaction in one step
Multi-Pendulum Chaos Simulator
Real-time simulation and visualization of complex physical systems with precise dynamic interaction
Business Analysis Report
Automatically generate business analysis reports — data insights replace manual compilation
BI Analytics Platform
Auto-generate data dashboards, replacing manual board setup — all dimensions at a glance
Get Started
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