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DeepSeek V4 vs Llama 4 Behemoth

DeepSeek vs Meta. 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.

DeepSeek

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

Unbeatable $/qualityOpen weightsGreat at code

Meta

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

Best open-weights modelRuns anywhereTransparent training

Pricing

Input / 1M$0.14$2.50

Output / 1M$0.28$8.00

Context128K256K

Max output16K16K

LicenseOpen weightsOpen weights

Released2026-02-202025-12-10

Benchmarks

LMSYS ELO1334.01342.0

MMLU Pro85.487.1

HumanEval91.589.3

SWE-Bench54.152.4

MATH88.781.5

GPQA—56.2

IFEval85.888.0

Per-task cost

Summarize a 1-hour meeting transcript$0.0022$0.041

Review a 500-line pull request$0.0017$0.036

Answer a customer support ticket$0.0006$0.014

Extract structured data from a resume$0.0010$0.021

Debug a stack trace with context$0.0014$0.031

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

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