Executive Summary
🏆 GLM-4.5
- • Quality Index: 66/70
- • Best Price: $0.88/M tokens (SiliconFlow)
- • Context: Up to 131K tokens
- • Parameters: 355B total, 32B active
- • Special: Hybrid reasoning (thinking/non-thinking)
- • License: MIT (fully open)
🚀 Kimi-K2
- • Quality Index: 57-58/70
- • Best Price: $1.00/M tokens (Novita)
- • Context: 128K tokens
- • Parameters: 1T total, 32B active
- • Special: MuonClip optimizer, agentic focus
- • License: Modified MIT
Bottom Line: GLM-4.5 leads in overall quality and pricing, while Kimi-K2 excels in specialized agentic tasks and coding benchmarks. Both are purpose-built for intelligent agents.
Model Architecture & Specifications
GLM-4.5
Kimi-K2
🔍 Architecture Deep Dive
Both models represent different approaches to massive MoE architectures. GLM-4.5 uses a more compact 355B parameter design with depth-first optimization, while Kimi-K2 scales to 1T parameters with 384 experts. GLM-4.5 focuses on hybrid reasoning modes, while Kimi-K2 emphasizes pure agentic intelligence with specialized MuonClip optimization for unprecedented scale training stability.
Performance Benchmarks
Quality Index Comparison
GLM-4.5
Kimi-K2
Detailed Performance Metrics
| Benchmark | GLM-4.5 | Kimi-K2 | Winner |
|---|---|---|---|
| MATH 500 | 98.2% | 97.4% | 🏆 GLM-4.5 |
| AIME24 | 91.0% | 69.6% | 🏆 GLM-4.5 |
| LiveCodeBench v6 | ~45-50 | 53.7 | 🏆 Kimi-K2 |
| SWE-bench Verified | 64.2 | 65.8 | 🏆 Kimi-K2 |
| Tool Use Success Rate | 90.6% | ~85-90% | 🏆 GLM-4.5 |
| MMLU | ~85-88 | 89.5 | 🏆 Kimi-K2 |
📊 Performance Analysis
GLM-4.5 dominates in mathematical reasoning (MATH 500: 98.2%, AIME24: 91.0%) and tool use reliability (90.6% success rate). Kimi-K2 excels in coding tasks (LiveCodeBench: 53.7, SWE-bench: 65.8) and general knowledge (MMLU: 89.5). Both models show complementary strengths, with GLM-4.5 being more reliable for reasoning and Kimi-K2 stronger in practical coding.
Pricing Analysis
GLM-4.5 Pricing
Kimi-K2 Pricing
💰 Cost Efficiency Analysis
GLM-4.5 offers better value proposition with both lower costs and higher quality scores. The price difference is moderate, but GLM-4.5's superior performance metrics make it more cost-effective.
Speed & Latency Performance
GLM-4.5 Speed Metrics
Kimi-K2 Speed Metrics
⚡ Speed Analysis
GLM-4.5 delivers significantly faster throughput (115 tok/sec peak vs 89 tok/sec) and more consistent performance across providers. Kimi-K2 shows extreme variance, with most providers offering only 20 tok/sec but Baseten achieving much better speeds. For production workloads requiring consistent performance, GLM-4.5 is the clear winner.
Agentic Capabilities & Intelligence
🎯 GLM-4.5 Agentic Features
Hybrid Reasoning Modes
Switches between thinking mode for complex tasks and non-thinking mode for quick responses.
Tool Use Success: 90.6%
Industry-leading reliability in tool calling and function execution.
Multi-Domain Excellence
Builds games, creates presentations, handles web scraping, and packages deliverables cleanly.
Stable Long-Context
Maintains performance during extended multi-turn conversations with tools.
🎯 Kimi-K2 Agentic Features
Pure Agentic Focus
Specifically designed for autonomous problem-solving and tool use from the ground up.
Superior Coding Agents
SWE-bench Verified: 65.8% (beats most models in agentic coding tasks).
MuonClip Training
Novel optimization at unprecedented scale ensures stable agentic behavior.
Specialized Intelligence
384 experts with 8 active per token, optimized for complex reasoning workflows.
Agentic Benchmark Comparison
| Agentic Task | GLM-4.5 | Kimi-K2 | Winner |
|---|---|---|---|
| Tool Use Success Rate | 90.6% | ~85-90% | 🏆 GLM-4.5 |
| SWE-bench Verified (Agentic) | 64.2 | 65.8 | 🏆 Kimi-K2 |
| Web Browsing (BrowseComp) | ~75-80 | ~70-75 | 🏆 GLM-4.5 |
| Terminal-Bench | 37.5 | 30.0 | 🏆 GLM-4.5 |
| Multi-turn Stability | Excellent | Good | 🏆 GLM-4.5 |
🤖 Agentic Intelligence Analysis
Both models excel at different aspects of agentic intelligence. GLM-4.5 offers superior tool use reliability and multi-turn stability, making it ideal for production agent deployments. Kimi-K2 specializes in complex coding tasks and autonomous problem-solving, excelling where deep reasoning meets code generation. Choose GLM-4.5 for reliable, consistent agents; choose Kimi-K2 for cutting-edge coding intelligence.
Use Cases & Recommendations
🎯 GLM-4.5 Best For
Production AI Agents
90.6% tool use success rate makes it ideal for reliable, customer-facing agents.
Multi-Modal Creation
Excels at creating presentations, games, posters, and full-stack applications.
Mathematical & Scientific Tasks
MATH 500: 98.2%, AIME24: 91.0% - best for STEM applications.
Enterprise Integration
MIT license, consistent performance, and hybrid reasoning modes.
🎯 Kimi-K2 Best For
Advanced Coding Agents
SWE-bench: 65.8%, LiveCodeBench: 53.7% - superior for software development.
Research & Experimentation
1T parameter scale with cutting-edge MuonClip optimization.
Autonomous Problem Solving
Purpose-built for independent reasoning and decision-making.
Specialized Agentic Workflows
384 experts enable highly specialized task handling.
🏆 Final Verdict
Overall Winner
GLM-4.5
Better quality, price, and reliability
Coding Champion
Kimi-K2
Superior software development
Value Winner
GLM-4.5
$0.88/M tokens + higher quality
Conclusion
The battle between GLM-4.5 and Kimi-K2 showcases two different philosophies in agentic AI development, each with distinct strengths that cater to different use cases.
GLM-4.5 emerges as the overall winner, delivering superior quality scores (66 vs 57-58), better pricing ($0.88 vs $1.00+ per million tokens), and exceptional reliability with its 90.6% tool use success rate. Its hybrid reasoning modes and consistent performance across providers make it the ideal choice for production deployments and enterprise applications.
Kimi-K2 shines in specialized domains, particularly software development where it achieves 65.8% on SWE-bench Verified and 53.7% on LiveCodeBench. Its massive 1T parameter architecture with 384 experts provides unmatched specialization capabilities, making it perfect for cutting-edge coding agents and research applications.
Quick Decision Matrix
Choose GLM-4.5 if you need:
- ✅ Production-ready reliability (90.6% tool success)
- ✅ Better cost efficiency ($0.88/M tokens)
- ✅ Mathematical and scientific excellence
- ✅ Multi-modal content creation
- ✅ Consistent performance across providers
Choose Kimi-K2 if you need:
- ✅ Advanced software development (65.8% SWE-bench)
- ✅ Cutting-edge research capabilities
- ✅ Specialized expert knowledge (384 experts)
- ✅ Autonomous coding agents
- ✅ Maximum parameter scale (1T total)
Both models represent significant achievements in agentic AI, but they serve different markets. GLM-4.5 is the pragmatic choice for businesses needing reliable, cost-effective agents that work consistently in production. Kimi-K2 is the research-oriented choice for developers pushing the boundaries of what's possible in autonomous software development and specialized reasoning tasks.
Related Resources
Kimi-K2 Resources
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