Model Comparison
Gemini 3.7 Flash (high)
vs. GLM-5.2 (max)
Comparing 2 AI models · 7 benchmarks · Google, Z AI
Recommended Pick
GoGemini 3.7 Flash (high)13 metric winsStrongest on: Value, Input price, Output price
Best Value
Gemini 3.7 Flash (high)
100.0 value score
66.1 reasoning / $1.50/1M
Lowest Price
Gemini 3.7 Flash (high)
$0.75/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 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
Gemini 3.7 Flash (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemini 3.7 Flash (high) is 1.9x cheaper on input tokens than GLM-5.2 (max).
Speed gap
Gemini 3.7 Flash (high) generates about 4.9x as many tokens per second as GLM-5.2 (max).
Reasoning gap
Gemini 3.7 Flash (high) leads GLM-5.2 (max) by 5.1 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads GLM-5.2 (max) by 7.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 3.7 Flash (high)
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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GLM-5.2 (max)
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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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Go Gemini 3.7 Flash (high) | Z GLM-5.2 (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.75/1M | $1.40/1M |
| Output Cost | $3.75/1M | $4.40/1M |
| Blended (3:1) | $1.50/1M | $2.15/1M |
| Specifications | ||
| Organization | Z AI | |
| Release Date | Aug 13, 2026 | Jun 16, 2026 |
| Performance & Speed | ||
| Throughput | 515.0 tok/s | 104.4 tok/s |
| TTFT | 6354ms | 886ms |
| Latency | 6354ms | 20038ms |
| Composite Indices | ||
| Value Score | 100.0 | 64.4 |
| Reasoning Score | 66.1 | 61.1 |
| Intelligence | 56.0 | 52.6 |
| Coding | 76.1 | 68.8 |
| Standard Benchmarks | ||
| GPQA | 94.5% | 89.5% |
| HLE | 47.9% | 41.1% |
| SciCode | 56.8% | 50.5% |
| LCR | 80.0% | 76.7% |
| IFBench | — | 73.3% |
| TAU-bench v2 | — | 99.1% |
| TerminalBench Hard | — | 50.8% |
Key Takeaways
Gemini 3.7 Flash (high) offers the best value at $0.75/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 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
Gemini 3.7 Flash (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
GLM-5.2 (max)
- General-purpose AI
- Versatile applications
