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DeepSeek V4 vs Gemini 2.5 Flash

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

Verdict

DeepSeek V4 leads on LMSYS ELO (1334 vs 1312). DeepSeek V4 is ~3.0× cheaper on a 3:1 input:output blend. DeepSeek V4 is open-weights, the other is proprietary.

DeepSeek

DeepSeek V4

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

Unbeatable $/qualityOpen weightsGreat at code

Google DeepMind

Gemini 2.5 Flash

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

Pricing

Input / 1M$0.14$0.30

Output / 1M$0.28$1.20

Context128K1.0M

Max output16K32K

LicenseOpen weightsProprietary

Released2026-02-202026-02-05

Benchmarks

LMSYS ELO1334.01312.0

MMLU Pro85.482.1

HumanEval91.585.8

SWE-Bench54.1—

MATH88.784.2

MMMU—74.6

IFEval85.886.1

Per-task cost

Summarize a 1-hour meeting transcript$0.0022$0.0051

Review a 500-line pull request$0.0017$0.0048

Answer a customer support ticket$0.0006$0.0019

Extract structured data from a resume$0.0010$0.0027

Debug a stack trace with context$0.0014$0.0042

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

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