Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.
Overall winner (2026)
Gemini 3.1 Pro Preview
6 of 8 criteria won
DeepSeek
ELO Arena
1425
Intelligence Index
24.7
Coding Index
75.7
2 criteria won
View full profile →ELO Arena
1485
Intelligence Index
46.5
Coding Index
76.5
6 criteria won
View full profile →| Critério | DeepSeek V3.2 | Gemini 3.1 Pro Preview |
|---|---|---|
| Chatbot Arena ELO | 1425 | 1485 ✓ |
| Intelligence Index (AA) | 24.7 | 46.5 ✓ |
| Coding Index (AA) | 75.7 | 76.5 ✓ |
| GPQA Diamond | 75.0% | 94.0% ✓ |
| Input price ($/1M tok) | $0.28 ✓ | $2.00 |
| Output price ($/1M tok) | $0.42 ✓ | $12.00 |
| Context window | 164K tokens | 1.0M tokens ✓ |
| Speed (tokens/s) | — | 123 tok/s ✓ |
✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly
Choosing between DeepSeek V3.2 and Gemini 3.1 Pro Preview depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.
DeepSeek · Text · Open Source
Google · Multimodal
Gemini 3.1 Pro Preview wins in 6 of 8 criteria analyzed. Check the full table to choose based on your use case.
Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.
The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.
Yes. DeepSeek V3.2 costs $0.28/1M input tokens, while Gemini 3.1 Pro Preview costs $2/1M tokens — 614% more expensive. For high-volume projects, DeepSeek V3.2 represents significant savings. Total cost also depends on output pricing and your application's usage pattern.
Gemini 3.1 Pro Preview has the larger context window: 1.0M tokens vs 164K tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.