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Gemini 2.5 Flash vs Llama 4 Scout

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

Verdict

Gemini 2.5 Flash leads on LMSYS ELO (1312 vs 1265). Llama 4 Scout is ~1.1× cheaper on a 3:1 input:output blend. Llama 4 Scout is open-weights, the other is proprietary.

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

Meta

Llama 4 Scout

The 70B workhorse open-weight. Fits on a single H100, beloved by self-hosters.

Single-GPU deployableDirt cheap on aggregatorsStrong fine-tuning base

Pricing

Input / 1M$0.30$0.35

Output / 1M$1.20$0.80

Context1.0M128K

Max output32K8K

LicenseProprietaryOpen weights

Released2026-02-052025-12-10

Benchmarks

LMSYS ELO1312.01265.0

MMLU Pro82.177.2

HumanEval85.882.4

MATH84.272.5

MMMU74.6—

IFEval86.184.1

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.0057

Review a 500-line pull request$0.0048$0.0044

Answer a customer support ticket$0.0019$0.0017

Extract structured data from a resume$0.0027$0.0026

Debug a stack trace with context$0.0042$0.0037

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

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