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GPT-5 vs DeepSeek V3.1

Detailed technical comparison between GPT-5 (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: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

GPT-5

400,000 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

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

View GPT-5 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-5DeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window400,000 tokensπŸ†163,840 tokens
Agent Suitability92/100 (est.)Not yet benchmarked
Time to First Token (TTFT)320 ms (est.)No public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-08-072025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5

$1.25

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-5

$10.00

DeepSeek V3.1

$0.95

πŸ’‘ Cost Ratio: DeepSeek V3.1 is 5.0x cheaper per input token than GPT-5.

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
92.1%vs80.0%+12.1% GPT-5
GPT-5 πŸ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
94.0%vs78.2%+15.8% GPT-5
GPT-5 πŸ†
DeepSeek V3.1
MATHComplex mathematical problem solving
89.5%vs55.4%+34.1% GPT-5
GPT-5 πŸ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
79.5%vs40.8%+38.7% GPT-5
GPT-5 πŸ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
98.5%vs83.0%+15.5% GPT-5
GPT-5 πŸ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.5%vs8.6%+0.9% GPT-5
GPT-5 πŸ†
DeepSeek V3.1

GPT-5 Quirks & Gotchas

  • β–ΈReliable all-rounder β€” use as default for most production workflows
  • β–ΈNot recommended for advanced reasoning chains β€” use o3-mini instead

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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