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GPT-4o-mini vs DeepSeek V3.1

Detailed technical comparison between GPT-4o-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-4o-mini: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

DeepSeek V3.1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4o-mini

$0.15 / MTok
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-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-4o-miniDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window128,000 tokens163,840 tokens๐Ÿ†
Agent Suitability82/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-182025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-4o-mini

$0.60

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: GPT-4o-mini is 1.7x cheaper per input token than DeepSeek V3.1.

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
82.0%vs80.0%+2.0% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
84.0%vs78.2%+5.8% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
70.2%vs55.4%+14.8% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
45.0%vs40.8%+4.2% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
84.7%vs83.0%+1.7% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
8.6%vs8.6%+0.0% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
DeepSeek V3.1

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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