Model Comparison
Gemma 4 E4B (Reasoning)
vs. Qwen3 14B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Google, Alibaba
Recommended Pick
Go Gemma 4 E4B (Reasoning) 9 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Gemma 4 E4B (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
52.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 E4B (Reasoning)
13.7 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 14B (Reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads Gemma 4 E4B (Reasoning) by 25.4 points on reasoning.
Coding gap
Gemma 4 E4B (Reasoning) leads Qwen3 14B (Reasoning) by 0.6 points on coding.
Top-pick rationale
Gemma 4 E4B (Reasoning) wins 9 measurable categories, including Input price, Output price, TTFT, Latency.
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
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 14B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemma 4 E4B (Reasoning) | Al Qwen3 14B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.23/1M |
| Output Cost | $0.00/1M | $2.22/1M |
| Blended (3:1) | — | $0.73/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | Apr 3, 2026 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | 63.2 tok/s |
| TTFT | — | 1131ms |
| Latency | — | 32788ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 26.7 | 52.1 |
| Intelligence | 18.8 | 16.2 |
| Coding | 13.7 | 13.1 |
| Math | — | 55.7 |
| Standard Benchmarks | ||
| GPQA | 57.6% | 60.4% |
| MMLU Pro | — | 77.4% |
| HLE | 3.7% | 4.3% |
| LiveCodeBench | — | 52.3% |
| MATH 500 | — | 96.1% |
| AIME 2025 | — | 55.7% |
| AIME (Original) | — | 76.3% |
| SciCode | 24.4% | 31.6% |
| LCR | 30.7% | 0.0% |
| IFBench | 44.2% | 40.5% |
| TAU-bench v2 | 20.8% | 34.5% |
| TerminalBench Hard | 8.3% | 3.8% |
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 14B (Reasoning) has the strongest reasoning profile with a 52.1 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 E4B (Reasoning) reaches a 13.7 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
- Code generation
- Software development
Qwen3 14B (Reasoning)
- Complex reasoning tasks
- Research & analysis
