Model Comparison
Gemma 3n E4B Instruct
vs. GPT-5.5 (high)
Comparing 2 AI models · 12 benchmarks · Google, OpenAI
Recommended Pick
Op GPT-5.5 (high) 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
Gemma 3n E4B Instruct
100.0 value score
22.8 reasoning / $0.03/1M
Lowest Price
Gemma 3n E4B Instruct
$0.02/1M input price
Best Reasoning
GPT-5.5 (high)
65.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (high)
58.5 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Gemma 3n E4B Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemma 3n E4B Instruct is 250x cheaper on input tokens than GPT-5.5 (high).
Speed gap
GPT-5.5 (high) generates about 1.2x as many tokens per second as Gemma 3n E4B Instruct.
Reasoning gap
GPT-5.5 (high) leads Gemma 3n E4B Instruct by 42.2 points on reasoning.
Coding gap
GPT-5.5 (high) leads Gemma 3n E4B Instruct by 54.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 3n E4B Instruct
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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GPT-5.5 (high)
OpenAI
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?
Full Comparison
| Metric | Go Gemma 3n E4B Instruct | Top Pick Op GPT-5.5 (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.02/1M | $5.00/1M |
| Output Cost | $0.04/1M | $30.00/1M |
| Blended (3:1) | $0.03/1M | $11.25/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Jun 26, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 43.4 tok/s | 54.1 tok/s |
| TTFT | 431ms | 14695ms |
| Latency | 431ms | 14695ms |
| Composite Indices | ||
| Value Score | 100.0 | 0.6 |
| Reasoning Score | 22.8 | 65.0 |
| Intelligence | 6.4 | 58.9 |
| Coding | 4.2 | 58.5 |
| Math | 14.3 | — |
| Standard Benchmarks | ||
| GPQA | 29.6% | 93.2% |
| MMLU Pro | 48.8% | — |
| HLE | 4.4% | 43.0% |
| LiveCodeBench | 14.6% | — |
| MATH 500 | 77.1% | — |
| AIME 2025 | 14.3% | — |
| AIME (Original) | 13.7% | — |
| SciCode | 8.1% | 55.9% |
| LCR | 0.0% | 73.3% |
| IFBench | 27.9% | 71.6% |
| TAU-bench v2 | 5.0% | 93.0% |
| TerminalBench Hard | 2.3% | 59.8% |
Key Takeaways
Gemma 3n E4B Instruct offers the best value at $0.02/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (high) has the strongest reasoning profile with a 65.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (high) reaches a 58.5 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 3n E4B Instruct
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
