DeepSeek V3.2 vs GPT-5.6 Sol (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. GPT-5.6 Sol
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Overview
DeepSeek V3.2 was released 7 months before GPT-5.6 Sol.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 1.1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 128K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | July 9, 2026 17 days ago July 9th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | February 16, 2026 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | GPT-5.6 Sol | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📁File🖼️Image📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Enabled by defaultEffort: Max, Extra High, High, Medium, Low, NoneDefault: Medium |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
DeepSeek V3.2 is roughly 0.05x less expensive compared to GPT-5.6 Sol for input tokens and roughly 0.01x less expensive for output tokens.
Short Context Pricing Base rates before a long-context threshold applies | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $5.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $30.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | $0.50 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | Not specified | $6.25 per million tokens |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $10.00 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $45.00 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $1.00 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | Not specified | $12.50 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and GPT-5.6 Sol.
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | 58.9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | 77.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | 54 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,200 Elo (#55 in Website (50.1% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.2 and GPT-5.6 Sol unique.
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