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GPT-5 Turbo vs Gemini 2.5 Flash

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

Verdict

GPT-5 Turbo leads on LMSYS ELO (1398 vs 1312). Gemini 2.5 Flash is ~20.0× cheaper on a 3:1 input:output blend.

OpenAI

OpenAI’s flagship unified model. Handles text, vision, and audio natively. The generalist benchmark champion.

Native multimodalStrong math and scienceHuge ecosystem

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

Pricing

Input / 1M$6.00$0.30

Output / 1M$24.00$1.20

Context400K1.0M

Max output32K32K

LicenseProprietaryProprietary

Released2026-01-212026-02-05

Benchmarks

LMSYS ELO1398.01312.0

MMLU Pro91.282.1

HumanEval93.085.8

SWE-Bench65.8—

MATH91.584.2

GPQA68.1—

MMMU78.874.6

IFEval88.986.1

Per-task cost

Summarize a 1-hour meeting transcript$0.102$0.0051

Review a 500-line pull request$0.096$0.0048

Answer a customer support ticket$0.037$0.0019

Extract structured data from a resume$0.054$0.0027

Debug a stack trace with context$0.084$0.0042

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

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