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GPT-5 Mini vs DeepSeek V3.1

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

GPT-5 Mini

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Tie

Equal Pricing
OpenAIactive

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

View GPT-5 Mini 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 MiniDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window400,000 tokens๐Ÿ†163,840 tokens
Agent Suitability85/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-5 Mini

$2.00

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: Both models offer identical input token pricing ($0.25 / MTok).

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
86.5%vs80.0%+6.5% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
88.0%vs78.2%+9.8% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
82.5%vs55.4%+27.1% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
68.0%vs40.8%+27.2% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
95.5%vs83.0%+12.5% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.0%vs8.6%+0.4% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
DeepSeek V3.1

GPT-5 Mini Quirks & Gotchas

  • โ–ธExcellent for high-frequency classification and routing tasks
  • โ–ธTool calling reliability drops on complex multi-step chains โ€” use GPT-5 for agentic workflows

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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