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Gemini 2.5 Flash vs Llama 4 Behemoth

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

Verdict

Llama 4 Behemoth leads on LMSYS ELO (1342 vs 1312). Gemini 2.5 Flash is ~7.4× cheaper on a 3:1 input:output blend. Llama 4 Behemoth 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 Behemoth

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$0.30$2.50

Output / 1M$1.20$8.00

Context1.0M256K

Max output32K16K

LicenseProprietaryOpen weights

Released2026-02-052025-12-10

Benchmarks

LMSYS ELO1312.01342.0

MMLU Pro82.187.1

HumanEval85.889.3

SWE-Bench—52.4

MATH84.281.5

GPQA—56.2

MMMU74.6—

IFEval86.188.0

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.041

Review a 500-line pull request$0.0048$0.036

Answer a customer support ticket$0.0019$0.014

Extract structured data from a resume$0.0027$0.021

Debug a stack trace with context$0.0042$0.031

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

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