Model Comparison
GLM-5.3-Flash
vs. Large 4 Preview
Comparing 2 AI models · 0 benchmarks · Z AI, Mistral
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
GLM-5.3-Flash
100.0 value score
41.8 reasoning / $0.24/1M
Lowest Price
GLM-5.3-Flash
$0.15/1M input price
Best Reasoning
GLM-5.3-Flash
41.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.3-Flash
71.5 coding index
Differences That Matter
Best value
GLM-5.3-Flash has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-5.3-Flash is 9.1x cheaper on input tokens than Large 4 Preview.
Speed gap
Large 4 Preview generates about 1.5x as many tokens per second as GLM-5.3-Flash.
Reasoning gap
GLM-5.3-Flash leads Large 4 Preview by 3.4 points on reasoning.
Top-pick rationale
GLM-5.3-Flash wins 6 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.3-Flash
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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Large 4 Preview
Mistral
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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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Z GLM-5.3-Flash | Mi Large 4 Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $1.36/1M |
| Output Cost | $0.50/1M | $4.18/1M |
| Blended (3:1) | $0.24/1M | $2.06/1M |
| Specifications | ||
| Organization | Z AI | Mistral |
| Release Date | Aug 26, 2026 | Oct 6, 2026 |
| Performance & Speed | ||
| Throughput | 77.8 tok/s | 114.1 tok/s |
| TTFT | 2720ms | 1550ms |
| Latency | 28420ms | 19080ms |
| Composite Indices | ||
| Value Score | 100.0 | 10.6 |
| Reasoning Score | 41.8 | 38.4 |
| Intelligence | 41.8 | 38.4 |
| Coding | 71.5 | — |
Key Takeaways
GLM-5.3-Flash offers the best value at $0.15/1M,making it ideal for high-volume applications and cost-conscious projects.
GLM-5.3-Flash has the strongest reasoning profile with a 41.8 reasoning score,combining the available reasoning-heavy benchmarks.
GLM-5.3-Flash reaches a 71.5 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-Flash
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Large 4 Preview
- General-purpose AI
- Versatile applications