โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

DeepSeek V3.1 vs GPT-5.6 Terra

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 V3.1 and GPT-5.6 Terra.

DeepSeek

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View Full Specs
OpenAI

GPT-5.6 Terra

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

View Full Specs

Technical Specifications

SpecificationDeepSeek V3.1GPT-5.6 Terra
ProviderDeepSeekOpenAI
Context Window163,840 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 Date2025-08-212026-07-09

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.1

$0.21

GPT-5.6 Terra

$2.50

Output Price per Million Tokens

DeepSeek V3.1

$0.79

GPT-5.6 Terra

$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 V3.1 Quirks & Gotchas

No developer gotchas reported.

GPT-5.6 Terra Quirks & Gotchas

No developer gotchas reported.