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GPT-4.1 Nano vs DeepSeek V3.1

Detailed technical comparison between GPT-4.1 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-4.1 Nano: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

GPT-4.1 Nano

1,047,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4.1 Nano

$0.10 / MTok
OpenAIactive

GPT-4.1 Nano

For tasks that demand low latency, GPTโ€‘4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

View GPT-4.1 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-4.1 NanoDeepSeek V3.1
ProviderOpenAIDeepSeek
Context Window1,047,576 tokens๐Ÿ†163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-04-142025-08-21

API Pricing Comparison

Input Price per Million Tokens

GPT-4.1 Nano

$0.10

DeepSeek V3.1

$0.25

Output Price per Million Tokens

GPT-4.1 Nano

$0.40

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: GPT-4.1 Nano is 2.5x 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
80.4%vs80.0%+0.4% GPT-4.1 Nano
GPT-4.1 Nano ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
78.6%vs78.2%+0.4% GPT-4.1 Nano
GPT-4.1 Nano ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
55.8%vs55.4%+0.4% GPT-4.1 Nano
GPT-4.1 Nano ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
41.2%vs40.8%+0.4% GPT-4.1 Nano
GPT-4.1 Nano ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
83.4%vs83.0%+0.4% GPT-4.1 Nano
GPT-4.1 Nano ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
8.6%vs8.6%+0.0% GPT-4.1 Nano
GPT-4.1 Nano ๐Ÿ†
DeepSeek V3.1

GPT-4.1 Nano Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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