Model Comparison
Gemma 4 E2B (Reasoning)
vs. GPT-4o (ChatGPT)
Comparing 2 AI models · 10 benchmarks · Google, OpenAI
Recommended Pick
Op GPT-4o (ChatGPT) 4 metric wins Strongest on: Reasoning, GPQA, SciCode
Lowest Price
Gemma 4 E2B (Reasoning)
$0.00/1M input price
Best Reasoning
GPT-4o (ChatGPT)
31.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 E2B (Reasoning)
9.0 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
GPT-4o (ChatGPT) leads Gemma 4 E2B (Reasoning) by 10.7 points on reasoning.
Top-pick rationale
GPT-4o (ChatGPT) wins 4 measurable categories, including Reasoning, GPQA, SciCode, LCR.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 E2B (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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GPT-4o (ChatGPT)
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 4 E2B (Reasoning) | Top Pick Op GPT-4o (ChatGPT) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Apr 2, 2026 | Feb 15, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 21.1 | 31.8 |
| Intelligence | 15.2 | 14.1 |
| Coding | 9.0 | — |
| Standard Benchmarks | ||
| GPQA | 43.3% | 51.1% |
| MMLU Pro | — | 77.3% |
| HLE | 4.8% | 3.7% |
| MATH 500 | — | 79.7% |
| AIME (Original) | — | 10.3% |
| SciCode | 20.9% | 33.4% |
| LCR | 15.0% | 53.0% |
| IFBench | 38.0% | — |
| TAU-bench v2 | 20.8% | — |
| TerminalBench Hard | 3.0% | — |
Key Takeaways
Gemma 4 E2B (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-4o (ChatGPT) has the strongest reasoning profile with a 31.8 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 E2B (Reasoning) reaches a 9.0 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 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
GPT-4o (ChatGPT)
- Complex reasoning tasks
- Research & analysis
