Model Comparison
o4-mini (high)
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 12 benchmarks · OpenAI, Google
Recommended Pick
Go Gemini 3.1 Pro Preview 11 metric wins Strongest on: TTFT, Latency, Intelligence
Best Value
o4-mini (high)
100.0 value score
71.9 reasoning / $1.93/1M
Lowest Price
o4-mini (high)
$1.10/1M input price
Best Reasoning
o4-mini (high)
71.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Pro Preview
55.5 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
o4-mini (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
o4-mini (high) is 1.8x cheaper on input tokens than Gemini 3.1 Pro Preview.
Speed gap
o4-mini (high) generates about 1.2x as many tokens per second as Gemini 3.1 Pro Preview.
Reasoning gap
o4-mini (high) leads Gemini 3.1 Pro Preview by 6.6 points on reasoning.
Coding gap
Gemini 3.1 Pro Preview leads o4-mini (high) by 29.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o4-mini (high)
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
—
Gemini 3.1 Pro Preview
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op o4-mini (high) | Top Pick Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $2.00/1M |
| Output Cost | $4.40/1M | $12.00/1M |
| Blended (3:1) | $1.93/1M | $4.50/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Apr 16, 2025 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | 159.9 tok/s | 132.2 tok/s |
| TTFT | 28620ms | 24249ms |
| Latency | 28620ms | 24249ms |
| Composite Indices | ||
| Value Score | 100.0 | 38.9 |
| Reasoning Score | 71.9 | 65.3 |
| Intelligence | 33.1 | 57.2 |
| Coding | 25.6 | 55.5 |
| Math | 90.7 | — |
| Standard Benchmarks | ||
| GPQA | 78.4% | 94.1% |
| MMLU Pro | 83.2% | — |
| HLE | 17.5% | 44.7% |
| LiveCodeBench | 85.9% | — |
| MATH 500 | 98.9% | — |
| AIME 2025 | 90.7% | — |
| AIME (Original) | 94.0% | — |
| SciCode | 46.5% | 58.9% |
| LCR | 55.0% | 72.7% |
| IFBench | 68.7% | 77.1% |
| TAU-bench v2 | 55.6% | 95.6% |
| TerminalBench Hard | 15.2% | 53.8% |
Key Takeaways
o4-mini (high) offers the best value at $1.10/1M, making it ideal for high-volume applications and cost-conscious projects.
o4-mini (high) has the strongest reasoning profile with a 71.9 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Pro Preview reaches a 55.5 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
o4-mini (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Gemini 3.1 Pro Preview
- Code generation
- Software development
