Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.
Overall winner (2026)
GPT-5.5
5 of 7 criteria won
| Critério | GPT-5.5 | DeepSeek V3.2 |
|---|---|---|
| Chatbot Arena ELO | — | — |
| Intelligence Index (AA) | 60.2 ✓ | 32.1 |
| Coding Index (AA) | 59.1 ✓ | 34.6 |
| GPQA Diamond | 94.0% ✓ | 75.0% |
| Input price ($/1M tok) | $5.00 | $0.50 ✓ |
| Output price ($/1M tok) | $30.00 | $1.60 ✓ |
| Context window | 1.1M tokens ✓ | 131K tokens |
| Speed (tokens/s) | 64 tok/s ✓ | — |
✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly
Choosing between GPT-5.5 and DeepSeek V3.2 depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.
OpenAI · Multimodal
DeepSeek · Text · Open Source
GPT-5.5 wins in 5 of 7 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.
No. DeepSeek V3.2 is cheaper: $0.5/1M input tokens vs $5/1M tokens for GPT-5.5 — a 900% difference. For high-volume projects, DeepSeek V3.2 can reduce costs substantially.
GPT-5.5 has the larger context window: 1.1M tokens vs 131K tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.