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GPT-5 Mini vs DeepSeek R2

OpenAI vs DeepSeek. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

GPT-5 Mini is ~1.1× cheaper on a 3:1 input:output blend. DeepSeek R2 is open-weights, the other is proprietary.

OpenAI

GPT-5’s smaller, cheaper sibling. Optimized for chat and lightweight agent tasks.

Very low latencyCheap enough for mass consumer apps

DeepSeek

DeepSeek’s reasoning variant. Competes with o4 on math at a fraction of the cost.

Frontier math at open-weights pricingLong CoT traces

Pricing

Input / 1M$0.50$0.55

Output / 1M$2.00$2.19

Context256K128K

Max output16K64K

LicenseProprietaryOpen weights

Released2026-01-212026-01-15

Benchmarks

LMSYS ELO1288.0—

MMLU Pro78.587.8

HumanEval85.590.1

MATH79.894.1

GPQA—71.2

IFEval85.4—

Per-task cost

Summarize a 1-hour meeting transcript$0.0085$0.0093

Review a 500-line pull request$0.0080$0.0088

Answer a customer support ticket$0.0031$0.0034

Extract structured data from a resume$0.0045$0.0049

Debug a stack trace with context$0.0070$0.0077

Per-call cost using published token counts for each task. Real-world prompts vary.

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