Model Comparison
Gemma 4 12B (Reasoning)
vs. Gemma 4 E4B (Reasoning)
Comparing 2 AI models · 7 benchmarks · Google
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemma 4 E4B (Reasoning)
$0.00/1M input price
Best Reasoning
Gemma 4 12B (Reasoning)
37.4 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 (Reasoning) is ∞x cheaper on input tokens than Gemma 4 12B (Reasoning).
Reasoning gap
Gemma 4 12B (Reasoning) leads Gemma 4 E4B (Reasoning) by 12.8 points on reasoning.
Top-pick rationale
Gemma 4 12B (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 12B (Reasoning)
TTFT
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Tokens
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Cost
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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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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Go Gemma 4 12B (Reasoning) | Go Gemma 4 E4B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.00/1M |
| Output Cost | $0.30/1M | $0.00/1M |
| Blended (3:1) | $0.15/1M | — |
| Specifications | ||
| Organization | ||
| Release Date | Jun 3, 2026 | Apr 3, 2026 |
| Performance & Speed | ||
| Throughput | 166.1 tok/s | — |
| TTFT | 1387ms | — |
| Latency | 13431ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 37.4 | 24.6 |
| Intelligence | 22.0 | 12.5 |
| Standard Benchmarks | ||
| GPQA | 75.3% | 57.6% |
| HLE | 14.8% | 3.7% |
| SciCode | 38.2% | 24.4% |
| LCR | 55.3% | 30.7% |
| IFBench | 73.5% | 44.2% |
| TAU-bench v2 | 36.3% | 20.8% |
| TerminalBench Hard | 18.2% | 8.3% |
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.
Gemma 4 12B (Reasoning) has the strongest reasoning profile with a 37.4 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 12B (Reasoning)
- Complex reasoning tasks
- Research & analysis
Gemma 4 E4B (Reasoning)
- Cost-sensitive applications
- High-volume processing