Model Comparison
Gemma 4 E4B (Reasoning)
vs. Qwen3.5 9B (Reasoning)
Comparing 2 AI models · 7 benchmarks · Google, Alibaba
Recommended Pick
Al Qwen3.5 9B (Reasoning) 10 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemma 4 E4B (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3.5 9B (Reasoning)
39.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 9B (Reasoning)
28.7 coding index
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 (Reasoning) is ∞x cheaper on input tokens than Qwen3.5 9B (Reasoning).
Reasoning gap
Qwen3.5 9B (Reasoning) leads Gemma 4 E4B (Reasoning) by 15.0 points on reasoning.
Top-pick rationale
Qwen3.5 9B (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 (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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Qwen3.5 9B (Reasoning)
Alibaba
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 (Reasoning) | Top Pick Al Qwen3.5 9B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.10/1M |
| Output Cost | $0.00/1M | $0.15/1M |
| Blended (3:1) | — | $0.11/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | Apr 3, 2026 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | — | 61.2 tok/s |
| TTFT | — | 1119ms |
| Latency | — | 33822ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 24.6 | 39.6 |
| Intelligence | 12.5 | 25.0 |
| Coding | — | 28.7 |
| Standard Benchmarks | ||
| GPQA | 57.6% | 80.6% |
| HLE | 3.7% | 13.3% |
| SciCode | 24.4% | 27.5% |
| LCR | 30.7% | 59.0% |
| IFBench | 44.2% | 66.7% |
| TAU-bench v2 | 20.8% | 86.8% |
| TerminalBench Hard | 8.3% | 24.2% |
Key Takeaways
Gemma 4 E4B (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 9B (Reasoning) has the strongest reasoning profile with a 39.6 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.5 9B (Reasoning) reaches a 28.7 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 E4B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Qwen3.5 9B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
