Model Comparison
Gemma 4 E4B (Non-reasoning)
vs. GLM-5.1 (Non-reasoning)
Comparing 2 AI models · 7 benchmarks · Google, Z AI
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemma 4 E4B (Non-reasoning)
$0.00/1M input price
Best Reasoning
GLM-5.1 (Non-reasoning)
48.3 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Gemma 4 E4B (Non-reasoning) is ∞x cheaper on input tokens than GLM-5.1 (Non-reasoning).
Reasoning gap
GLM-5.1 (Non-reasoning) leads Gemma 4 E4B (Non-reasoning) by 25.5 points on reasoning.
Top-pick rationale
GLM-5.1 (Non-reasoning) wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 E4B (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-5.1 (Non-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?
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Full Comparison
| Metric | Go Gemma 4 E4B (Non-reasoning) | Top Pick Z GLM-5.1 (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $1.40/1M |
| Output Cost | $0.00/1M | $4.40/1M |
| Blended (3:1) | — | $2.15/1M |
| Specifications | ||
| Organization | Z AI | |
| Release Date | Apr 3, 2026 | Apr 7, 2026 |
| Performance & Speed | ||
| Throughput | — | 59.9 tok/s |
| TTFT | — | 920ms |
| Latency | — | 920ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 22.8 | 48.3 |
| Intelligence | 8.9 | 35.4 |
| Standard Benchmarks | ||
| GPQA | 54.9% | 83.9% |
| HLE | 4.7% | 25.6% |
| SciCode | 3.9% | 36.1% |
| LCR | 18.0% | 44.3% |
| IFBench | 40.5% | 52.0% |
| TAU-bench v2 | 26.0% | 97.1% |
| TerminalBench Hard | 7.6% | 35.6% |
Key Takeaways
Gemma 4 E4B (Non-reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GLM-5.1 (Non-reasoning) has the strongest reasoning profile with a 48.3 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemma 4 E4B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
GLM-5.1 (Non-reasoning)
- Complex reasoning tasks
- Research & analysis