Model Comparison
Gemma 4 31B (Reasoning)
vs. gpt-oss-20B (low)
Comparing 2 AI models · 10 benchmarks · Google, OpenAI
Recommended Pick
Go Gemma 4 31B (Reasoning) 12 metric wins Strongest on: Input price, Output price, Reasoning
Lowest Price
Gemma 4 31B (Reasoning)
$0.00/1M input price
Best Reasoning
Gemma 4 31B (Reasoning)
49.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 31B (Reasoning)
38.7 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 31B (Reasoning) is ∞x cheaper on input tokens than gpt-oss-20B (low).
Speed gap
gpt-oss-20B (low) generates about 7.9x as many tokens per second as Gemma 4 31B (Reasoning).
Reasoning gap
Gemma 4 31B (Reasoning) leads gpt-oss-20B (low) by 6.9 points on reasoning.
Coding gap
Gemma 4 31B (Reasoning) leads gpt-oss-20B (low) by 24.3 points on coding.
Top-pick rationale
Gemma 4 31B (Reasoning) wins 12 measurable categories, including Input price, Output price, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 31B (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-oss-20B (low)
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 | Top Pick Go Gemma 4 31B (Reasoning) | Op gpt-oss-20B (low) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.06/1M |
| Output Cost | $0.00/1M | $0.20/1M |
| Blended (3:1) | — | $0.10/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Apr 2, 2026 | Aug 5, 2025 |
| Performance & Speed | ||
| Throughput | 34.6 tok/s | 273.8 tok/s |
| TTFT | 1022ms | 469ms |
| Latency | 51172ms | 7772ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 49.2 | 42.3 |
| Intelligence | 39.2 | 20.8 |
| Coding | 38.7 | 14.4 |
| Math | — | 62.3 |
| Standard Benchmarks | ||
| GPQA | 85.7% | 61.1% |
| MMLU Pro | — | 71.8% |
| HLE | 22.7% | 5.1% |
| LiveCodeBench | — | 65.2% |
| AIME 2025 | — | 62.3% |
| SciCode | 43.4% | 34.0% |
| LCR | 62.0% | 31.0% |
| IFBench | 75.6% | 57.8% |
| TAU-bench v2 | 59.9% | 50.3% |
| TerminalBench Hard | 36.4% | 4.5% |
Key Takeaways
Gemma 4 31B (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemma 4 31B (Reasoning) has the strongest reasoning profile with a 49.2 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 31B (Reasoning) reaches a 38.7 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 31B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
gpt-oss-20B (low)
- General-purpose AI
- Versatile applications
