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Llama 4 Maverick 17B

As a general purpose LLM, Llama 4 Maverick contains 17 billion active parameters, 128 experts, and 400 billion total parameters, offering high quality at a lower price compared to Llama 3.3 70B.

text + image → text · made by Meta

$0.05$0.1per Mtok in / out
Lambda · 16 sellers

Sold by 24 ways

SellerLaneRate
AWS Bedrock cloudbatch$0.12per Mtok in$0.48per Mtok outaws.amazon.com · read 2026-08-24
Google Vertex AI 0 ways$0.17per Mtok in$0.57per Mtok out
Google Vertex AI cloudnot on the seller's list todaybatch$0.17per Mtok in$0.57per Mtok outcloud.google.com · read 2026-08-24
DigitalOcean cloudstandard$0.2per Mtok in$0.7per Mtok outmodels.dev · read 2026-09-16
AWS Bedrock cloudstandard$0.24per Mtok in$0.97per Mtok outaws.amazon.com · read 2026-08-24
Snowflake Cortex cloudstandard$0.24per Mtok in$0.97per Mtok outraw.githubusercontent.com · read 2026-09-16
Microsoft Azure AI cloudstandard$0.25per Mtok in$1per Mtok outmodels.dev · read 2026-09-16
Google Vertex AI 0 ways$0.35per Mtok in$1.15per Mtok out
Google Vertex AI cloudnot on the seller's list todaystandard$0.35per Mtok in$1.15per Mtok outcloud.google.com · read 2026-08-24
IBM watsonx cloudstandard$0.37per Mtok in$1.48per Mtok outmodels.dev · read 2026-09-16
IBM watsonx.ai cloudstandard$0.37per Mtok in$1.48per Mtok outibm.com · read 2026-08-25
Databricks cloudstandard$0.5per Mtok in$1.5per Mtok out$0.5per Mtok cached$0.5per Mtok cache writeraw.githubusercontent.com · read 2026-09-16
Oracle Cloud Infrastructure cloudstandard$0.72per Mtok in$0.72per Mtok outraw.githubusercontent.com · read 2026-09-16
Lambda aggregatorstandard$0.05per Mtok in$0.1per Mtok outraw.githubusercontent.com · read 2026-09-16
Nous Research aggregatorstandard$0.19per Mtok in$0.65per Mtok outinference-api.nousresearch.com · read 2026-09-15
OpenRouter 6 ways$0.19per Mtok in$0.65per Mtok out
OpenRouter aggregatorstandard$0.19per Mtok in$0.65per Mtok outopenrouter.ai · read 2026-09-15
OpenRouter aggregatordigitalocean$0.19per Mtok in$0.65per Mtok outopenrouter.ai · read 2026-09-15
OpenRouter aggregatordeepinfra/base$0.2per Mtok in$0.8per Mtok outopenrouter.ai · read 2026-08-31
OpenRouter aggregatornovita/fp8$0.27per Mtok in$0.85per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/us-east5$0.35per Mtok in$1.15per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatorparasail/fp8$0.35per Mtok in$1per Mtok out$0.17per Mtok cachedopenrouter.ai · read 2026-08-25
DeepInfra aggregatorstandard$0.2per Mtok in$0.8per Mtok outapi.deepinfra.com · read 2026-09-02
Vercel AI Gateway aggregatorstandard$0.24per Mtok in$0.97per Mtok outvercel.com · read 2026-08-25
Hugging Face Inference Providers aggregatornovita$0.27per Mtok in$0.85per Mtok outrouter.huggingface.co · read 2026-08-25
Novita AI aggregatorstandard$0.27per Mtok in$0.85per Mtok outapi.novita.ai · read 2026-09-02
Together AI aggregatorstandard$0.27per Mtok in$0.85per Mtok outraw.githubusercontent.com · read 2026-09-16

Measured 19 standings

PlaceBoardMetricScore
24thof 25SWE-Bench Pro (Public Dataset)Resolve Rate5.24
39thof 105Vectara Hallucination LeaderboardHallucination Rate8.2
42ndof 108Math level 5 — Epoch AImean_score73.017
61stof 69Aider polyglot coding leaderboardPercent correct15.6
64thof 81Forecastbench — Epoch AIOverall score57.5
93rdof 101FrontierMath (Tiers 1-3)mean_score0.69
111thof 112Ale bench — Epoch AIPerformance172.97
138thof 147Design Arena · 3d (models)Elo928
140thof 143Artificial Analysis · Agentic IndexIndex0.6
147thof 150Design Arena · uicomponent (models)Elo914
150thof 152Design Arena · dataviz (models)Elo896
153rdof 156Design Arena · codecategories (models)Elo895
154thof 155Design Arena · gamedev (models)Elo860
156thof 162Design Arena · website (models)Elo883
157thof 184Artificial Analysis · Coding IndexIndex16.3
184thof 313GPQA Diamondmean_score66.982
200thof 302Artificial Analysis · Intelligence IndexArtificial Analysis Intelligence Index9
230thof 290OTIS Mock AIME 2024-2025mean_score20.556
514thof 656Epoch capabilities index — Epoch AIECI Score132.22

About

Llama 4 Maverick 17B — a text model from Meta, sold by 16 companies from $0.05 in and $0.1 out per million tokens, placed 39th of 105 on Vectara Hallucination Leaderboard.

It takes text and images and returns text, with a context window of 128,000 tokens. It was published in January 2025, trained on material up to August 2024. Its sellers say it can call a tool. The catalogue files it under reasoning, code and agents. Sixteen companies sell it. The cheapest is $0.05 in and $0.1 out per million tokens at Lambda. Beside the standard rate there are batch, separately routed and regional lanes. It has been measured on 19 boards, and stands best at 39th of 105 on Vectara Hallucination Leaderboard.

Every current figure

Maker
Meta
Register
model
Takes
text + image
Returns
text
Context
128,000 tokens
Longest answer
65,536 tokens
Published
January 2025
Knowledge to
August 2024
Parameters
402 billion
Licence
not read
Sellers
16
Maker's own price
not read
Price
$0.05 in and $0.1 out per million tokens — Lambda
Boards
19
Best place
39th of 105 — Vectara Hallucination Leaderboard

Known as 7 names

llama4-maverick-17b-instructmeta.llama4-maverick-17b-instruct-v1:0meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8llama-4-maverick-17b-128e-instruct-fp8meta-llama/llama-4-maverickmeta/llama-4-maverickLlama 4 Maverick