o1-pro Paid vs 
Gemini 3.1 Pro Preview Paid
o1-pro vs Gemini 3.1 Pro Preview compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
o1-pro — full profile › · Gemini 3.1 Pro Preview — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$600 /M outputManaged API (no infra to run)
$12 /M outputManaged API (no infra to run)
o1-pro vs Gemini 3.1 Pro Preview specs
| Spec | o1-pro | Gemini 3.1 Pro Preview | Winner |
|---|---|---|---|
| Maker | OpenAI | – | |
| Type | Proprietary | Proprietary | – |
| Context window | 200K tokens | 1M tokens | |
| Input price | $150/M | $2/M | |
| Output price | $600/M | $12/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | No | Yes | |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Gemini 3.1 Pro Preview is ~50× cheaper than o1-pro on output tokens ($12 vs $600 per M tokens).
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You need the longer 1M context window
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | o1-pro | Gemini 3.1 Pro Preview |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✗ | ✓ |
| 1M+ context window | ✗ | ✓ |
Benchmarks: o1-pro vs Gemini 3.1 Pro Preview
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How o1-pro and Gemini 3.1 Pro Preview score
| Criterion | o1-pro | Gemini 3.1 Pro Preview |
|---|---|---|
| Cost-efficiency | 2.0 | 3.5 |
| Context window | 4.0 | 5.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
o1-pro Paid
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Gemini 3.1 Pro Preview Paid
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation.
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
o1-pro vs Gemini 3.1 Pro Preview — which is cheaper?
Gemini 3.1 Pro Preview is cheaper on output ($12/M vs $600/M).
Which has the larger context window?
Gemini 3.1 Pro Preview offers the larger context window (1M tokens).
o1-pro vs Gemini 3.1 Pro Preview — which should I pick in 2026?
Choose Gemini 3.1 Pro Preview for the lower output price ($12/M vs $600/M). It also gives you the larger 1M context window.
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