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Gemini 2.5 Flash vs o4

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

Verdict

Gemini 2.5 Flash is ~50.0× cheaper on a 3:1 input:output blend.

Google DeepMind

Google’s price/performance darling. 1M context at $0.30/M input — nobody comes close on throughput-per-dollar.

Absurd cost-to-context ratioFast multimodalFree tier via AI Studio

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

Pricing

Input / 1M$0.30$15.00

Output / 1M$1.20$60.00

Context1.0M200K

Max output32K100K

LicenseProprietaryProprietary

Released2026-02-052026-02-18

Benchmarks

LMSYS ELO1312.0—

MMLU Pro82.193.8

HumanEval85.892.3

SWE-Bench—68.0

MATH84.296.2

GPQA—82.5

MMMU74.6—

IFEval86.1—

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.255

Review a 500-line pull request$0.0048$0.240

Answer a customer support ticket$0.0019$0.093

Extract structured data from a resume$0.0027$0.135

Debug a stack trace with context$0.0042$0.210

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

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