Model Comparison
GLM-5.1 (Non-reasoning)
vs. Kimi K2 Thinking
Comparing 2 AI models · 10 benchmarks · Z AI, MoonshotAI
Recommended Pick
Mo Kimi K2 Thinking 10 metric wins Strongest on: Value, Input price, Output price
Best Value
Kimi K2 Thinking
100.0 value score
67.3 reasoning / $1.07/1M
Lowest Price
Kimi K2 Thinking
$0.60/1M input price
Best Reasoning
Kimi K2 Thinking
67.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.1 (Non-reasoning)
35.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Kimi K2 Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Kimi K2 Thinking is 2.3x cheaper on input tokens than GLM-5.1 (Non-reasoning).
Speed gap
Kimi K2 Thinking generates about 2.1x as many tokens per second as GLM-5.1 (Non-reasoning).
Reasoning gap
Kimi K2 Thinking leads GLM-5.1 (Non-reasoning) by 16.2 points on reasoning.
Coding gap
GLM-5.1 (Non-reasoning) leads Kimi K2 Thinking by 1.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.1 (Non-reasoning)
Z AI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Kimi K2 Thinking
MoonshotAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Z GLM-5.1 (Non-reasoning) | Top Pick Mo Kimi K2 Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $0.60/1M |
| Output Cost | $4.40/1M | $2.50/1M |
| Blended (3:1) | $2.15/1M | $1.07/1M |
| Specifications | ||
| Organization | Z AI | MoonshotAI |
| Release Date | Apr 7, 2026 | Nov 6, 2025 |
| Performance & Speed | ||
| Throughput | 59.7 tok/s | 127.6 tok/s |
| TTFT | 1023ms | 922ms |
| Latency | 1023ms | 16595ms |
| Composite Indices | ||
| Value Score | 38.0 | 100.0 |
| Reasoning Score | 51.1 | 67.3 |
| Intelligence | 43.8 | 40.9 |
| Coding | 35.8 | 34.8 |
| Math | — | 94.7 |
| Standard Benchmarks | ||
| GPQA | 83.9% | 83.8% |
| MMLU Pro | — | 84.8% |
| HLE | 25.6% | 22.3% |
| LiveCodeBench | — | 85.3% |
| AIME 2025 | — | 94.7% |
| SciCode | 36.1% | 42.4% |
| LCR | 44.3% | 66.3% |
| IFBench | 52.0% | 68.1% |
| TAU-bench v2 | 97.1% | 93.0% |
| TerminalBench Hard | 35.6% | 31.1% |
Key Takeaways
Kimi K2 Thinking offers the best value at $0.60/1M, making it ideal for high-volume applications and cost-conscious projects.
Kimi K2 Thinking has the strongest reasoning profile with a 67.3 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-5.1 (Non-reasoning) reaches a 35.8 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GLM-5.1 (Non-reasoning)
- Code generation
- Software development
Kimi K2 Thinking
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
