LLM Cost Calculator

R1 0528 vs o4-mini — LLM API Cost Comparison

Compare R1 0528 (DeepSeek) vs o4-mini (OpenAI) on cost per million tokens, context window, and monthly spend.

Prices verified 2026-06-06 · Pricing may change — use the calculator for current estimates

DeepSeek
R1 0528
Current
Input
$0.5/1M tokens
Output
$2.15/1M tokens
Context
164K tokens
Released
2025-05

DeepSeek R1 May-2025 snapshot; improved reasoning

OpenAI
o4-mini
Current
Input
$1.1/1M tokens
Output
$4.4/1M tokens
Context
200K tokens
Released
2025-04

Best-value reasoning model; chain-of-thought built in

Monthly Cost by Usage Tier (70% input / 30% output ratio)

UsageR1 0528o4-miniCheaper by
Light (1M tokens)$0.995$2.09R1 0528 (52%)
Moderate (10M tokens)$9.95$20.90R1 0528 (52%)
Heavy (100M tokens)$99.50$209R1 0528 (52%)
Very Heavy (1B tokens)$995$2,090R1 0528 (52%)

Frequently Asked Questions

Which is cheaper — R1 0528 or o4-mini?

For input tokens, R1 0528 is cheaper at $0.5/1M tokens — 2.2× less than $1.1/1M. For output tokens, R1 0528 wins at $2.15/1M vs $4.4/1M. At heavy workloads (100M tokens/month), the cost difference can be significant.

What is the context window difference between R1 0528 and o4-mini?

R1 0528 supports 163,840 tokens per request; o4-mini supports 200,000 tokens. o4-mini wins on context length, making it better for long documents, large codebases, or extended conversations without chunking.

When should I choose R1 0528 over o4-mini?

Choose R1 0528 (DeepSeek) if you prefer DeepSeek's ecosystem, tooling, or reliability track record. DeepSeek R1 May-2025 snapshot; improved reasoning. Choose o4-mini (OpenAI) if Best-value reasoning model; chain-of-thought built in. the price/performance fits your workload better. Use this calculator to find the break-even point for your exact token volume.

How much does 1 billion tokens cost on R1 0528 vs o4-mini?

At 700M input + 300M output tokens (1B total): R1 0528 costs $995; o4-mini costs $2090. The difference is $1095/billion tokens at this 70/30 input/output ratio.