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ModelCap

Llama 4 Maverick

Current board #166Arena #236Official publisher releaseGated access7d #154 → #166

Meta·meta-llama/llama-4-maverick

Llama 4 Maverick is ModelCap current-board rank #166 with Index 30.1 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Llama 4 Maverick listed OpenRouter input price is $0.188 per 1M tokens and listed output price is $0.652 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Llama 4 Maverick has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Llama 4 Maverick has 5 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Llama 4 Maverick weight access is gated access, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
30.1#166
Measured · 65% support · score interval 25.3–34.9
Evidence as of 21 Sept 2026, 17:21 UTC
Market Gravity
40.3Increased by 0.3
Secondary market signal
Input
$0.188
per 1M tokens
Output
$0.652
per 1M tokens
Context
1M
tokens
Providers
5
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DigitalOceanCheapest$0.188$0.652128K100.0%
DeepInfrabase$0.20$0.801Mfp899.89%
Novitafp8$0.27$0.851Mfp899.89%
Parasailfp8$0.35$1.00524Kfp8100.0%
Googleus-east5$0.35$1.15524K

Reported evaluation leads (5)

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
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
30.1
Measured · 3 public benchmark observations across 3 boards
Current board
#166
Public rank basis
Measured (measured)
Index support
64.7% · strong
Index interval
25.3–34.9
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
21 Sept 2026, 17:21 UTC
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
30.1
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
30.1
Evidence status
confirmed · 87% mass
General preference
30.7
Coding
30.4
Agents & tools
Reasoning
13.6
Evidence breadth
95%
Evidence coverage
65%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
15.7
Liquidity (providers × uptime)
93.9
Open reach (HF downloads)
Surface (context / tools / modalities)
75.0
Freshness
13.1
  • · OpenRouter popularity #130
  • · 5 live providers
  • · Catalogue: context 1048576, 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

Missing: accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
40.3
OpenRouter weekly popularity
#130 of 322

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
#236 of 402
Rating
1326.9
95% confidence interval
1323–1331
Votes
39K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
15.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
93.9

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%
13.1

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

Specification

Context window
1M tokens
Max output
16K tokens
Inputs
Text, Image
Outputs
Text
Tokenizer
Llama4
Cached input tokens
Not offered
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)
10K
Downloads (all time)
738K
Likes
511
Repository updated
22 May 2025, 23:46 UTC

Compare Llama 4 Maverick with

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Benchmark leaderboards featuring Llama 4 Maverick

All leaderboards
Public benchmark boards on which Llama 4 Maverick has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)13731365–1380#227 of 397Default13 Sept 2026
ARC-AGI-2 leaderboardARC Prize Foundation0.0%#197 of 214Default21 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis17.8%#366 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Llama 4 Maverick":reasoning=false5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis4.9%#442 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Llama 4 Maverick":reasoning=false5 Sept 2026

Alternatives to Llama 4 Maverick, by the numbers

Ranked neighbours

Models within 3 places of #166 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 #166 of 248 ranked language models as of 22 September 2026, with an Index score of 30.1 (interval 25.3–34.9); 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 $0.188 per 1M input tokens and $0.652 per 1M output tokens as of 22 September 2026 across 5 providers. 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 $0.701 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 1M tokens (1,048,576) and a maximum output of 16K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own 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?

5 providers serve Llama 4 Maverick through OpenRouter as of 22 September 2026: DigitalOcean, DeepInfra, Novita, 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 4 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1373 (#227 of 397), ARC-AGI-2 0.0% (#197 of 214), AA τ²-Bench Telecom 17.8% (#366 of 436) and AA Humanity's Last Exam 4.9% (#442 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Llama 4 Maverick compare with Granite 4.2 8B?

Llama 4 Maverick ranks #166 (Index 30.1) and Granite 4.2 8B ranks #165 (Index 30.2) on the ModelCap Index as of 22 September 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.