Model Comparison
Gemini 2.5 Flash (Non-reasoning)
vs. GLM-4.5-Air
Comparing 2 AI models · 12 benchmarks · Google, Z AI
Recommended Pick
Z GLM-4.5-Air 18 metric wins Strongest on: Value, Input price, Output price
Best Value
GLM-4.5-Air
100.0 value score
61.2 reasoning / $0.37/1M
Lowest Price
GLM-4.5-Air
$0.17/1M input price
Best Reasoning
GLM-4.5-Air
61.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-4.5-Air
23.8 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
GLM-4.5-Air has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-4.5-Air is 1.8x cheaper on input tokens than Gemini 2.5 Flash (Non-reasoning).
Speed gap
Gemini 2.5 Flash (Non-reasoning) generates about 2.4x as many tokens per second as GLM-4.5-Air.
Reasoning gap
GLM-4.5-Air leads Gemini 2.5 Flash (Non-reasoning) by 10.1 points on reasoning.
Coding gap
GLM-4.5-Air leads Gemini 2.5 Flash (Non-reasoning) by 6.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.5 Flash (Non-reasoning)
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-4.5-Air
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?
Full Comparison
| Metric | Go Gemini 2.5 Flash (Non-reasoning) | Top Pick Z GLM-4.5-Air |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $0.17/1M |
| Output Cost | $2.50/1M | $0.98/1M |
| Blended (3:1) | $0.85/1M | $0.37/1M |
| Specifications | ||
| Organization | Z AI | |
| Release Date | May 20, 2025 | Jul 28, 2025 |
| Performance & Speed | ||
| Throughput | 200.6 tok/s | 82.9 tok/s |
| TTFT | 518ms | 1578ms |
| Latency | 518ms | 25703ms |
| Composite Indices | ||
| Value Score | 36.6 | 100.0 |
| Reasoning Score | 51.1 | 61.2 |
| Intelligence | 20.6 | 23.2 |
| Coding | 17.8 | 23.8 |
| Math | 60.3 | 80.7 |
| Standard Benchmarks | ||
| GPQA | 68.3% | 73.3% |
| MMLU Pro | 80.9% | 81.5% |
| HLE | 5.1% | 6.8% |
| LiveCodeBench | 49.5% | 68.4% |
| MATH 500 | 93.2% | 96.5% |
| AIME 2025 | 60.3% | 80.7% |
| AIME (Original) | 50.0% | 67.3% |
| SciCode | 29.1% | 30.6% |
| LCR | 45.9% | 43.7% |
| IFBench | 39.0% | 37.6% |
| TAU-bench v2 | 14.9% | 46.5% |
| TerminalBench Hard | 12.1% | 20.5% |
Key Takeaways
GLM-4.5-Air offers the best value at $0.17/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-4.5-Air has the strongest reasoning profile with a 61.2 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-4.5-Air reaches a 23.8 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
Gemini 2.5 Flash (Non-reasoning)
- General-purpose AI
- Versatile applications
GLM-4.5-Air
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
