| Signal | Gemini 3.1 Pro | Delta | GPT-3.5 Turbo 16k |
|---|---|---|---|
Capabilities | 0 | -43 | |
Context window size | 0 | -67 | |
Output Capacity | 0 | -60 | |
Pricing Tier | 0 | -4 | |
Recency | 0 | -- | |
Versatility | 0 | -33 | |
| Overall Result | 0 wins | of 6 | 5 wins |
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Pricing unavailable
OpenAI
| Metric | Gemini 3.1 Pro | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Overall Score | 97 | 31 | Gemini 3.1 Pro |
| Rank | #1 | #271 | Gemini 3.1 Pro |
| Quality Rank | #1 | #271 | Gemini 3.1 Pro |
| Adoption Rank | #3 | #271 | Gemini 3.1 Pro |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 16K | Gemini 3.1 Pro |
| Pricing | -- | $3.00/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | -- | 43 | GPT-3.5 Turbo 16k |
| Context window size | -- | 67 | GPT-3.5 Turbo 16k |
| Output Capacity | -- | 60 | GPT-3.5 Turbo 16k |
| Pricing Tier | -- | 4 | GPT-3.5 Turbo 16k |
| Recency | -- | 0 | GPT-3.5 Turbo 16k |
| Versatility | -- | 33 | GPT-3.5 Turbo 16k |
Gemini 3.1 Pro clearly outperforms GPT-3.5 Turbo 16k with a significant 65.9-point lead. For most general use cases, Gemini 3.1 Pro is the stronger choice. However, GPT-3.5 Turbo 16k may still excel in niche scenarios.
Best for Quality
Gemini 3.1 Pro
Marginally better benchmark scores; both are excellent
Best for Reliability
Gemini 3.1 Pro
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.1 Pro
Stronger community support and better developer experience
Best for Production
Gemini 3.1 Pro
Wider enterprise adoption and proven at scale
by Google
Gemini 3.1 Pro currently scores higher (97 vs 31), but the best choice depends on your specific use case, budget, and requirements.
Gemini 3.1 Pro is ranked #1 and GPT-3.5 Turbo 16k is ranked #271. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Pricing information may not be available for both models. Check individual model pages for the latest pricing details.