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o4 vs DeepSeek V4

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

Verdict

DeepSeek V4 is ~150.0× cheaper on a 3:1 input:output blend. DeepSeek V4 is open-weights, the other is proprietary.

OpenAI

Deep-reasoning model. Spends more tokens thinking to crush math, science, and hard coding problems.

State-of-the-art math and scienceExtremely high-ceiling reasoning

DeepSeek

The shock-the-market moment of 2026. Frontier coding quality at 1/50th the price of Opus.

Unbeatable $/qualityOpen weightsGreat at code

Pricing

Input / 1M$15.00$0.14

Output / 1M$60.00$0.28

Context200K128K

Max output100K16K

LicenseProprietaryOpen weights

Released2026-02-182026-02-20

Benchmarks

LMSYS ELO—1334.0

MMLU Pro93.885.4

HumanEval92.391.5

SWE-Bench68.054.1

MATH96.288.7

GPQA82.5—

IFEval—85.8

Per-task cost

Summarize a 1-hour meeting transcript$0.255$0.0022

Review a 500-line pull request$0.240$0.0017

Answer a customer support ticket$0.093$0.0006

Extract structured data from a resume$0.135$0.0010

Debug a stack trace with context$0.210$0.0014

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

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