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GPT-5.5 Pro vs DeepSeek V3.1

Detailed technical comparison between GPT-5.5 Pro (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.

⚑ Executive Summary & Verdict

Comparison Snapshot

GPT-5.5 Pro: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

GPT-5.5 Pro

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-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

View GPT-5.5 Pro Full Specs β†’
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 β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-5.5 ProDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window1,050,000 tokensπŸ†163,840 tokens
Agent Suitability98/100N/A
Time to First Token (TTFT)450 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-04-242025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5 Pro

$30.00

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-5.5 Pro

$180.00

DeepSeek V3.1

$0.95

πŸ’‘ Cost Ratio: DeepSeek V3.1 is 120.0x cheaper per input token than GPT-5.5 Pro.

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 (0–100%)

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

MMLUGeneral knowledge & multi-task understanding
96.5%vs80.0%+16.5% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
98.2%vs78.2%+20.0% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
DeepSeek V3.1
MATHComplex mathematical problem solving
96.0%vs55.4%+40.6% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
89.1%vs40.8%+48.3% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
99.4%vs83.0%+16.4% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.9%vs8.6%+1.3% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
DeepSeek V3.1

GPT-5.5 Pro Quirks & Gotchas

  • β–ΈBest-in-class instruction following for complex agentic chains
  • β–ΈPremium pricing β€” use GPT-5 for cost-sensitive workloads

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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