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Llama 4 Behemoth vs DeepSeek V4

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

Verdict

Llama 4 Behemoth leads on LMSYS ELO (1342 vs 1334). DeepSeek V4 is ~22.1× cheaper on a 3:1 input:output blend.

Meta

Meta’s open-weights flagship. 405B params, fully open license, runs on every major inference provider.

Best open-weights modelRuns anywhereTransparent training

DeepSeek

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

Unbeatable $/qualityOpen weightsGreat at code

Pricing

Input / 1M$2.50$0.14

Output / 1M$8.00$0.28

Context256K128K

Max output16K16K

LicenseOpen weightsOpen weights

Released2025-12-102026-02-20

Benchmarks

LMSYS ELO1342.01334.0

MMLU Pro87.185.4

HumanEval89.391.5

SWE-Bench52.454.1

MATH81.588.7

GPQA56.2—

IFEval88.085.8

Per-task cost

Summarize a 1-hour meeting transcript$0.041$0.0022

Review a 500-line pull request$0.036$0.0017

Answer a customer support ticket$0.014$0.0006

Extract structured data from a resume$0.021$0.0010

Debug a stack trace with context$0.031$0.0014

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

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