| Signal | Gemini 3.1 Pro Preview | Delta | o4 Mini |
|---|---|---|---|
Capabilities | 83 | -17 | |
Pricing | 12 | +8 | |
Context window size | 96 | +11 | |
Recency | 100 | +28 | |
Output Capacity | 80 | -3 | |
| Overall Result | 3 wins | of 5 | 2 wins |
8
days ranked higher
4
days
18
days ranked higher
OpenAI
o4 Mini saves you $470.00/month
That's $5640.00/year compared to Gemini 3.1 Pro Preview at your current usage level of 100K calls/month.
| Metric | Gemini 3.1 Pro Preview | o4 Mini | Winner |
|---|---|---|---|
| Overall Score | 89 | 89 | -- |
| Rank | #28 | #32 | Gemini 3.1 Pro Preview |
| Quality Rank | #28 | #32 | Gemini 3.1 Pro Preview |
| Adoption Rank | #28 | #32 | Gemini 3.1 Pro Preview |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 200K | Gemini 3.1 Pro Preview |
| Pricing | $2.00/$12.00/M | $1.10/$4.40/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 100 | o4 Mini |
| Pricing | 12 | 4 | Gemini 3.1 Pro Preview |
| Context window size | 96 | 84 | Gemini 3.1 Pro Preview |
| Recency | 100 | 72 | Gemini 3.1 Pro Preview |
| Output Capacity | 80 | 83 | o4 Mini |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 89/100 (rank #28), placing it in the top 91% of all 290 models tracked.
Scores 89/100 (rank #32), placing it in the top 89% of all 290 models tracked.
With only a 0-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.
o4 Mini offers 61% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with o4 Mini vs $210.00/month with Gemini 3.1 Pro Preview — a $127.50 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. o4 Mini 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 ($4.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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 o4 Mini are extremely close in overall performance (only 0 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
o4 Mini
61% 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 | o4 Mini |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
o4 Mini saves you $10.74/month
That's 60% cheaper than Gemini 3.1 Pro Preview 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 | o4 Mini |
|---|---|---|
| Context Window | 1.0M | 200K |
| Max Output Tokens | 65,536 | 100,000 |
| Open Source | No | No |
| Created | Feb 19, 2026 | Apr 16, 2025 |
Both Gemini 3.1 Pro Preview and o4 Mini score 89/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Gemini 3.1 Pro Preview is ranked #28 and o4 Mini is ranked #32 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
o4 Mini is cheaper at $4.40/M output tokens vs Gemini 3.1 Pro Preview's $12.00/M output tokens — 2.7x more expensive. Input token pricing: Gemini 3.1 Pro Preview at $2.00/M vs o4 Mini at $1.10/M.
Gemini 3.1 Pro Preview has a larger context window of 1,048,576 tokens compared to o4 Mini's 200,000 tokens. A larger context window means the model can process longer documents and conversations.