Gemini 3.1 Pro Preview Paid vs 
GPT-3.5 Turbo 16k Paid
Gemini 3.1 Pro Preview vs GPT-3.5 Turbo 16k compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Gemini 3.1 Pro Preview — full profile › · GPT-3.5 Turbo 16k — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$12 /M outputManaged API (no infra to run)
$4 /M outputManaged API (no infra to run)
Gemini 3.1 Pro Preview vs GPT-3.5 Turbo 16k specs
| Spec | Gemini 3.1 Pro Preview | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Maker | OpenAI | – | |
| Type | Proprietary | Proprietary | – |
| Context window | 1M tokens | 16K tokens | |
| Input price | $2/M | $3/M | |
| Output price | $12/M | $4/M | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
GPT-3.5 Turbo 16k is ~3.0× cheaper than Gemini 3.1 Pro Preview on output tokens ($4 vs $12 per M tokens).
- You want frontier performance through a managed API
- You need the longer 1M context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Gemini 3.1 Pro Preview | GPT-3.5 Turbo 16k |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: Gemini 3.1 Pro Preview vs GPT-3.5 Turbo 16k
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Gemini 3.1 Pro Preview and GPT-3.5 Turbo 16k score
| Criterion | Gemini 3.1 Pro Preview | GPT-3.5 Turbo 16k |
|---|---|---|
| Cost-efficiency | 3.5 | 4.0 |
| Context window | 5.0 | 2.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 5.0 | 3.5 |
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
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.
GPT-3.5 Turbo 16k Paid
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Gemini 3.1 Pro Preview vs GPT-3.5 Turbo 16k — which is cheaper?
GPT-3.5 Turbo 16k is cheaper on output ($4/M vs $12/M).
Which has the larger context window?
Gemini 3.1 Pro Preview offers the larger context window (1M tokens).
Gemini 3.1 Pro Preview vs GPT-3.5 Turbo 16k — which should I pick in 2026?
Choose GPT-3.5 Turbo 16k for the lower output price ($4/M vs $12/M). Choose Gemini 3.1 Pro Preview if you need the larger 1M context window.
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