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GPT-5.6 Terra vs DeepSeek V3.1

Detailed technical comparison between GPT-5.6 Terra (OpenAI) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5.6 Terra: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

GPT-5.6 Terra

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
OpenAIactive

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 GPT-5.6 Terra Full Specs โ†’
DeepSeekactive

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 DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5.6 TerraDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window1,050,000 tokens๐Ÿ†163,840 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-092025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Terra

$2.50

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-5.6 Terra

$15.00

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 10.0x cheaper per input token than GPT-5.6 Terra.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
92.6%vs80.0%+12.6% GPT-5.6 Terra
GPT-5.6 Terra ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
93.8%vs78.2%+15.6% GPT-5.6 Terra
GPT-5.6 Terra ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
81.0%vs55.4%+25.6% GPT-5.6 Terra
GPT-5.6 Terra ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
59.4%vs40.8%+18.6% GPT-5.6 Terra
GPT-5.6 Terra ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
91.6%vs83.0%+8.6% GPT-5.6 Terra
GPT-5.6 Terra ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.4%vs8.6%+0.9% GPT-5.6 Terra
GPT-5.6 Terra ๐Ÿ†
DeepSeek V3.1

GPT-5.6 Terra Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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