Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.
DeepSeek
ELO Arena
1425
Intelligence Index
24.7
Coding Index
75.7
4 criteria won
View full profile →| Critério | DeepSeek V3.2 | Gemini 3.1 Flash Lite |
|---|---|---|
| Chatbot Arena ELO | 1425 ✓ | — |
| Intelligence Index (AA) | 24.7 | 25.0 ✓ |
| Coding Index (AA) | 75.7 ✓ | 68.5 |
| GPQA Diamond | 75.0% | 82.2% ✓ |
| Input price ($/1M tok) | $0.28 | $0.25 ✓ |
| Output price ($/1M tok) | $0.42 ✓ | $1.50 |
| Context window | 164K tokens | 1.0M tokens ✓ |
| Speed (tokens/s) | — ✓ | — |
✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly
Choosing between DeepSeek V3.2 and Gemini 3.1 Flash Lite 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
DeepSeek V3.2 and Gemini 3.1 Flash Lite are evenly matched in this comparison. Choose based on the criterion most important for your project.
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.
No. Gemini 3.1 Flash Lite is cheaper: $0.25/1M input tokens vs $0.28/1M tokens for DeepSeek V3.2 — a 12% difference. For high-volume projects, Gemini 3.1 Flash Lite can reduce costs substantially.
Gemini 3.1 Flash Lite 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.