Model Comparison
Gemma 4 26B A4B (Reasoning)
vs. GLM-4.5V (Reasoning)
Comparing 2 AI models · 10 benchmarks · Google, Z AI
Recommended Pick
Go Gemma 4 26B A4B (Reasoning) 15 metric wins Strongest on: Value, Input price, Output price
Best Value
Gemma 4 26B A4B (Reasoning)
100.0 value score
42.9 reasoning / $0.20/1M
Lowest Price
Gemma 4 26B A4B (Reasoning)
$0.13/1M input price
Best Reasoning
GLM-4.5V (Reasoning)
47.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 26B A4B (Reasoning)
22.4 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
Gemma 4 26B A4B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemma 4 26B A4B (Reasoning) is 4.6x cheaper on input tokens than GLM-4.5V (Reasoning).
Reasoning gap
GLM-4.5V (Reasoning) leads Gemma 4 26B A4B (Reasoning) by 4.2 points on reasoning.
Coding gap
Gemma 4 26B A4B (Reasoning) leads GLM-4.5V (Reasoning) by 11.5 points on coding.
Top-pick rationale
Gemma 4 26B A4B (Reasoning) wins 15 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.
Gemma 4 26B A4B (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-4.5V (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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Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemma 4 26B A4B (Reasoning) | Z GLM-4.5V (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.13/1M | $0.60/1M |
| Output Cost | $0.40/1M | $1.80/1M |
| Blended (3:1) | $0.20/1M | $0.90/1M |
| Specifications | ||
| Organization | Z AI | |
| Release Date | Apr 2, 2026 | Aug 11, 2025 |
| Performance & Speed | ||
| Throughput | — | 31.0 tok/s |
| TTFT | — | 1201ms |
| Latency | — | 65726ms |
| Composite Indices | ||
| Value Score | 100.0 | 24.1 |
| Reasoning Score | 42.9 | 47.1 |
| Intelligence | 31.2 | 15.1 |
| Coding | 22.4 | 10.9 |
| Math | — | 73.0 |
| Standard Benchmarks | ||
| GPQA | 79.2% | 68.4% |
| MMLU Pro | — | 78.8% |
| HLE | 18.3% | 5.9% |
| LiveCodeBench | — | 60.4% |
| AIME 2025 | — | 73.0% |
| SciCode | 40.0% | 22.1% |
| LCR | 55.7% | 0.0% |
| IFBench | 72.4% | 34.2% |
| TAU-bench v2 | 43.6% | 22.5% |
| TerminalBench Hard | 13.6% | 5.3% |
Key Takeaways
Gemma 4 26B A4B (Reasoning) offers the best value at $0.13/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-4.5V (Reasoning) has the strongest reasoning profile with a 47.1 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 26B A4B (Reasoning) reaches a 22.4 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
Gemma 4 26B A4B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
GLM-4.5V (Reasoning)
- Complex reasoning tasks
- Research & analysis
