Model Comparison
GLM-5.3 (max)
vs. K3 (max)
Comparing 2 AI models · 0 benchmarks · Z AI, Kimi
Recommended Pick
Z GLM-5.3 (max)9 metric winsStrongest on: Value, Input price, Output price
Best Value
GLM-5.3 (max)
100.0 value score
44.9 reasoning / $2.15/1M
Lowest Price
GLM-5.3 (max)
$1.40/1M input price
Best Reasoning
GLM-5.3 (max)
44.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
K3 (max)
76.2 coding index
Differences That Matter
Best value
GLM-5.3 (max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-5.3 (max) is 2.1x cheaper on input tokens than K3 (max).
Speed gap
GLM-5.3 (max) generates about 1.7x as many tokens per second as K3 (max).
Reasoning gap
GLM-5.3 (max) leads K3 (max) by 1.1 points on reasoning.
Coding gap
K3 (max) leads GLM-5.3 (max) by 1.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.3 (max)
Z AI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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K3 (max)
Kimi
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Z GLM-5.3 (max) | Ki K3 (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $3.00/1M |
| Output Cost | $4.40/1M | $15.00/1M |
| Blended (3:1) | $2.15/1M | $6.00/1M |
| Specifications | ||
| Organization | Z AI | Kimi |
| Release Date | Aug 18, 2026 | Jul 16, 2026 |
| Performance & Speed | ||
| Throughput | 66.1 tok/s | 38.1 tok/s |
| TTFT | 3150ms | 3760ms |
| Latency | 33420ms | 56310ms |
| Composite Indices | ||
| Value Score | 100.0 | 35.0 |
| Reasoning Score | 44.9 | 43.8 |
| Intelligence | 44.9 | 43.8 |
| Coding | 74.8 | 76.2 |
Key Takeaways
GLM-5.3 (max) offers the best value at $1.40/1M,making it ideal for high-volume applications and cost-conscious projects.
GLM-5.3 (max) has the strongest reasoning profile with a 44.9 reasoning score,combining the available reasoning-heavy benchmarks.
K3 (max) reaches a 76.2 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-5.3 (max)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
K3 (max)
- Code generation
- Software development
