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GPT-5 Nano vs DeepSeek V3.1

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

GPT-5 Nano

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-5 Nano

$0.05 / MTok
OpenAIactive

GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

View GPT-5 Nano 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 NanoDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window400,000 tokens๐Ÿ†163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/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 Nano

$0.05

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-5 Nano

$0.40

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: GPT-5 Nano is 5.0x 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
90.8%vs80.0%+10.8% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
92.0%vs78.2%+13.8% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
79.2%vs55.4%+23.8% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
57.6%vs40.8%+16.8% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
89.8%vs83.0%+6.8% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.2%vs8.6%+0.7% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
DeepSeek V3.1

GPT-5 Nano Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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