GPT-4.1 mini vs DeepSeek R1

Performance benchmarks + pricing comparison — updated April 2026

GPT-4.1 mini

OpenAI

Cost-optimized GPT-4.1 variant. Strong coding capability at budget pricing, replacing GPT-4o mini for many use cases.

Input$0.400/M
Output$1.60/M
Context128K tokens
Best ForHigh-volume coding, cost-sensitive projects, automation
Benchmark68/100

DeepSeek R1

DeepSeek

DeepSeek's reasoning model. Open-weight model that rivals o1 for complex reasoning tasks.

Input$0.140/M
Output$0.550/M
Context128K tokens
Best ForMath, coding, science reasoning at low cost

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioGPT-4.1 miniDeepSeek R1Savings
Small Script (1K lines) $0.06 $0.02 DeepSeek R1 saves $0.04 (65%)
Medium Feature (10K lines) $0.46 $0.16 DeepSeek R1 saves $0.30 (65%)
Large Project (50K lines) $2.30 $0.80 DeepSeek R1 saves $1.51 (65%)
Code Review (5K lines) $0.11 $0.04 DeepSeek R1 saves $0.07 (65%)

Verdict

DeepSeek R1 wins on both price and performance — $0.140/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models