Model Comparison
Gemma 4 E2B (Non-reasoning)
vs. Qwen2.5 Instruct 32B
Comparing 2 AI models · 11 benchmarks · Google, Alibaba
Recommended Pick
Al Qwen2.5 Instruct 32B 4 metric wins Strongest on: Reasoning, Intelligence, GPQA
Lowest Price
Gemma 4 E2B (Non-reasoning)
$0.00/1M input price
Best Reasoning
Qwen2.5 Instruct 32B
31.0 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
Qwen2.5 Instruct 32B leads Gemma 4 E2B (Non-reasoning) by 12.0 points on reasoning.
Top-pick rationale
Qwen2.5 Instruct 32B wins 4 measurable categories, including Reasoning, Intelligence, GPQA, SciCode.
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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Qwen2.5 Instruct 32B
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 | Go Gemma 4 E2B (Non-reasoning) | Top Pick Al Qwen2.5 Instruct 32B |
|---|---|---|
| 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 19, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 19.0 | 31.0 |
| Intelligence | 12.1 | 13.2 |
| Coding | 8.3 | — |
| Standard Benchmarks | ||
| GPQA | 40.5% | 46.6% |
| MMLU Pro | — | 69.7% |
| HLE | 4.5% | 3.8% |
| LiveCodeBench | — | 24.8% |
| MATH 500 | — | 80.5% |
| AIME (Original) | — | 11.0% |
| SciCode | 20.4% | 22.9% |
| 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.
Qwen2.5 Instruct 32B has the strongest reasoning profile with a 31.0 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
- Code generation
- Software development
Qwen2.5 Instruct 32B
- Complex reasoning tasks
- Research & analysis
