| Signal | Gemini 3.1 Pro Preview | Delta | o1-pro |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 79 | -2 | |
Pricing | 12 | -88 | |
Context window size | 96 | +11 | |
Recency | 100 | +36 | |
Output Capacity | 80 | -3 | |
| Overall Result | 3 wins | of 6 | 3 wins |
7
days higher
4
days
19
days higher
OpenAI
Gemini 3.1 Pro Preview saves you $44200.00/month
That's $530400.00/year compared to o1-pro at your current usage level of 100K calls/month.
| Metric | Gemini 3.1 Pro Preview | o1-pro | Winner |
|---|---|---|---|
| Overall Score | 80 | 81 | o1-pro |
| Rank | #24 | #22 | o1-pro |
| Quality Rank | #24 | #22 | o1-pro |
| Adoption Rank | #24 | #22 | o1-pro |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 200K | Gemini 3.1 Pro Preview |
| Pricing | $2.00/$12.00/M | $150.00/$600.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemini 3.1 Pro Preview |
| Benchmarks | 79 | 82 | o1-pro |
| Pricing | 12 | 100 | o1-pro |
| Context window size | 96 | 84 | Gemini 3.1 Pro Preview |
| Recency | 100 | 64 | Gemini 3.1 Pro Preview |
| Output Capacity | 80 | 83 | o1-pro |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 80/100 (rank #24), placing it in the top 92% of all 290 models tracked.
Scores 81/100 (rank #22), placing it in the top 93% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Gemini 3.1 Pro Preview offers 98% better value per quality point. At 1M tokens/day, you'd spend $210.00/month with Gemini 3.1 Pro Preview vs $11250.00/month with o1-pro - a $11040.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Gemini 3.1 Pro Preview also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($12.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Gemini 3.1 Pro Preview and o1-pro are extremely close in overall performance (only 0.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemini 3.1 Pro Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.1 Pro Preview
98% lower pricing; better value at scale
Best for Reliability
Gemini 3.1 Pro Preview
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.1 Pro Preview
Stronger community support and better developer experience
Best for Production
Gemini 3.1 Pro Preview
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 3.1 Pro Preview | o1-pro |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Gemini 3.1 Pro Preview saves you $972.00/month
That's 98% cheaper than o1-pro at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 3.1 Pro Preview | o1-pro |
|---|---|---|
| Context Window | 1.0M | 200K |
| Max Output Tokens | 65,536 | 100,000 |
| Open Source | No | No |
| Created | Feb 19, 2026 | Mar 19, 2025 |
o1-pro scores 81/100 (rank #22) compared to Gemini 3.1 Pro Preview's 80/100 (rank #24), giving it a 1-point advantage. o1-pro is the stronger overall choice, though Gemini 3.1 Pro Preview may excel in specific areas like cost efficiency.
Gemini 3.1 Pro Preview is ranked #24 and o1-pro is ranked #22 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemini 3.1 Pro Preview is cheaper at $12.00/M output tokens vs o1-pro's $600.00/M output tokens - 50.0x more expensive. Input token pricing: Gemini 3.1 Pro Preview at $2.00/M vs o1-pro at $150.00/M.
Gemini 3.1 Pro Preview has a larger context window of 1,048,576 tokens compared to o1-pro's 200,000 tokens. A larger context window means the model can process longer documents and conversations.