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Gemini 2.5 Flash vs DeepSeek R2

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

Verdict

Gemini 2.5 Flash is ~1.8× cheaper on a 3:1 input:output blend. DeepSeek R2 is open-weights, the other is proprietary.

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

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$0.30$0.55

Output / 1M$1.20$2.19

Context1.0M128K

Max output32K64K

LicenseProprietaryOpen weights

Released2026-02-052026-01-15

Benchmarks

LMSYS ELO1312.0—

MMLU Pro82.187.8

HumanEval85.890.1

MATH84.294.1

GPQA—71.2

MMMU74.6—

IFEval86.1—

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.0093

Review a 500-line pull request$0.0048$0.0088

Answer a customer support ticket$0.0019$0.0034

Extract structured data from a resume$0.0027$0.0049

Debug a stack trace with context$0.0042$0.0077

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

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