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DeepSeek V3.2 vs GPT-5.6 Terra Pro

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.2 and GPT-5.6 Terra Pro.

DeepSeek

DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

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OpenAI

GPT-5.6 Terra Pro

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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Technical Specifications

SpecificationDeepSeek V3.2GPT-5.6 Terra Pro
ProviderDeepSeekOpenAI
Context Window131,072 tokens1,050,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-12-012026-07-09

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.2

$0.21

GPT-5.6 Terra Pro

$2.50

Output Price per Million Tokens

DeepSeek V3.2

$0.32

GPT-5.6 Terra Pro

$15.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

DeepSeek V3.2 Quirks & Gotchas

No developer gotchas reported.

GPT-5.6 Terra Pro Quirks & Gotchas

No developer gotchas reported.