Model Comparison
Gemma 4 E2B (Non-reasoning)
vs. Qwen Chat 14B
Comparing 2 AI models · 7 benchmarks · Google, Alibaba
Recommended Pick
Go Gemma 4 E2B (Non-reasoning) 2 metric wins Strongest on: Reasoning, Intelligence
Lowest Price
Gemma 4 E2B (Non-reasoning)
$0.00/1M input price
Best Reasoning
Gemma 4 E2B (Non-reasoning)
19.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 E2B (Non-reasoning)
8.3 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Gemma 4 E2B (Non-reasoning) leads Qwen Chat 14B by 11.6 points on reasoning.
Top-pick rationale
Gemma 4 E2B (Non-reasoning) wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 E2B (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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Qwen Chat 14B
Alibaba
TTFT
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Time
—
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 E2B (Non-reasoning) | Al Qwen Chat 14B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | Apr 2, 2026 | Sep 25, 2023 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 19.0 | 7.4 |
| Intelligence | 12.1 | 7.4 |
| Coding | 8.3 | — |
| Standard Benchmarks | ||
| GPQA | 40.5% | — |
| HLE | 4.5% | — |
| SciCode | 20.4% | — |
| LCR | 15.0% | — |
| IFBench | 33.6% | — |
| TAU-bench v2 | 22.2% | — |
| TerminalBench Hard | 2.3% | — |
Key Takeaways
Gemma 4 E2B (Non-reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemma 4 E2B (Non-reasoning) has the strongest reasoning profile with a 19.0 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 E2B (Non-reasoning) reaches a 8.3 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 E2B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen Chat 14B
- General-purpose AI
- Versatile applications
