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GPT-5 Turbo vs Llama 4 Scout

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

Verdict

GPT-5 Turbo leads on LMSYS ELO (1398 vs 1265). Llama 4 Scout is ~22.7× cheaper on a 3:1 input:output blend. Llama 4 Scout is open-weights, the other is proprietary.

OpenAI

GPT-5 Turbo

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

Native multimodalStrong math and scienceHuge ecosystem

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$6.00$0.35

Output / 1M$24.00$0.80

Context400K128K

Max output32K8K

LicenseProprietaryOpen weights

Released2026-01-212025-12-10

Benchmarks

LMSYS ELO1398.01265.0

MMLU Pro91.277.2

HumanEval93.082.4

SWE-Bench65.8—

MATH91.572.5

GPQA68.1—

MMMU78.8—

IFEval88.984.1

Per-task cost

Summarize a 1-hour meeting transcript$0.102$0.0057

Review a 500-line pull request$0.096$0.0044

Answer a customer support ticket$0.037$0.0017

Extract structured data from a resume$0.054$0.0026

Debug a stack trace with context$0.084$0.0037

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

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