Skip to content
ModelCap

Llama 4 Maverick

Arena #252Official publisher releaseGated access6.9d #214 → #223

Meta·#223 of 352 on the current board·cheaper than #192 GPT-4o (2024-08-06)

Llama 4 Maverick is a language model from Meta. It ranks #223 of 352 on ModelCap's current board, with an Index score of 33.0, measured on 3 public benchmarks. Its score range of 28.2–37.8 spans positions #187–#248. It is listed at $0.35 per million input tokens and $1.00 per million output tokens across 3 providers. It reads up to 524K tokens of context, and its weights are downloadable after an access request.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
33.0#223
Measured on 3 public benchmarks · range 28.2–37.8
Evidence as of 6 Nov 2026, 19:11 UTC
Market Gravity
37.3Increased by 0.1
Secondary market signal
Input
$0.35
per 1M tokens
Output
$1.00
per 1M tokens
Context
524K
tokens
Providers
3
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DigitalOceanCheapest$0.188$0.652128K—100.0%
Parasailfp8$0.35$1.00524Kfp8100.0%
Googleus-east5$0.35$1.15524K——

Reported evaluation leads (6)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
none
—5.68
Unpinned
not published
Reported
Quarantined
google/physical-engineerings-last-exam
overall-score
—0.7
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
open_question
—47.25
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
mcq_4_choices
—49.1
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
—5.24
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—80.5
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
33.0
Measured on 3 public benchmarks
Current board
#223 of 352
Score range
28.2–37.8
Rank range
#187–#248
Evidence as of
6 Nov 2026, 19:11 UTC
Benchmarks used
ARC-AGI-2 Verified, Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 3 public benchmark observations across 3 boards
Index support
64.7% · strong
Identity binding
Exact catalogue product · meta-llama/meta-llama/llama-4-maverick · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata meta-llama/Llama-4-Maverick-17B-128E-Instruct@73d14711bcc77c16df3470856949c3764056b617 (not the evaluation revision)
Index observations used
3
Qualified Index evidence point
33.0
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
33.0
Evidence status
confirmed · 87% mass
General preference
33.5
Coding
35.2
Agents & tools
—
Reasoning
9.5
Evidence breadth
95%
Evidence coverage
65%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
14.5
Liquidity (providers × uptime)
85.1
Open reach (HF downloads)
—
Surface (context / tools / modalities)
70.3
Freshness
11.0
  • · OpenRouter popularity #146
  • · 3 live providers
  • · Catalogue: context 524288, tools, modalities Text/Image
  • · First seen 2025-04-05

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
89.0
strong · 93% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
68.3
Deployability
100.0
Evaluation provenance
76.5

Not yet published: a link to the licence terms, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
37.3
OpenRouter weekly popularity
#146 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#252 of 419
Rating
1327.0
95% confidence interval
1323–1331
Votes
39K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
14.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
85.1

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
11.0

Time since first public availability, on a six-month half-life.

Specification

Model ID
meta-llama/llama-4-maverick
Context window
524K tokens
Declared output cap
33K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image
Outputs
Text
Tokenizer
Llama4
Cached input tokens
$0.17 / 1M
First seen on OpenRouter
5 Apr 2025
Knowledge cutoff
2024-08-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Gated access. The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution.

Access
Gated access
Licence
llama4
Pinned revision
73d14711bcc7
Parameters
401.6B
Architecture
Llama4ForConditionalGeneration
Model type
llama4
Hugging Face downloads (30d)
12K
Downloads (all time)
756K
Likes
520
Repository updated
22 May 2025, 23:46 UTC

Compare Llama 4 Maverick with

Pick any model

Benchmark leaderboards featuring Llama 4 Maverick

All leaderboards
Public benchmark boards on which Llama 4 Maverick has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13271323–1331#252 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)13721365–1380#244 of 414Default28 Oct 2026
ARC-AGI-2 leaderboardARC Prize Foundation0.0%#263 of 281Default6 Nov 2026

Alternatives to Llama 4 Maverick, by the numbers

Ranked neighbours

Models within 3 places of #223 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Meta models

The same publisher's other current models with a public Index position.

Llama 4 Maverick: common questions

How does Llama 4 Maverick rank among AI models?

Llama 4 Maverick holds ModelCap Index position #223 of 352 ranked language models as of 6 November 2026, with an Index score of 33.0 (interval 28.2–37.8); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Llama 4 Maverick cost per 1M tokens?

Llama 4 Maverick is listed at $0.35 per 1M input tokens and $1.00 per 1M output tokens as of 6 November 2026; the lowest output price among 3 providers is $0.652 on DigitalOcean. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.20 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Llama 4 Maverick?

Llama 4 Maverick has a published context window of 524K tokens (524,288). The snapshot lists a 32,768 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Llama 4 Maverick open-weight?

Gated access (llama4). The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution. The repository is meta-llama/Llama-4-Maverick-17B-128E-Instruct on Hugging Face.

Which API providers serve Llama 4 Maverick?

3 providers serve Llama 4 Maverick through OpenRouter as of 6 November 2026: DigitalOcean, Parasail and Google. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Llama 4 Maverick been evaluated on?

Llama 4 Maverick has published results on 3 public boards tracked by ModelCap as of 6 November 2026: Arena text 1327 (#252 of 419), Arena coding 1372 (#244 of 414) and ARC-AGI-2 0.0% (#263 of 281). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Llama 4 Maverick compare with Llama 4 Scout?

Llama 4 Maverick ranks #223 (Index 33.0) and Llama 4 Scout ranks #232 (Index 31.3) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Llama 4 Maverick released?

Llama 4 Maverick first appeared in the catalogue on 5 Apr 2025, with a published knowledge cutoff of 2024-08-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.