RankingLlama 4 Maverick

Llama 4 Maverick

Data updated 12 Sept 2026

8 published benchmark measures · 6 benchmark families contribute across 5 task areas. 4 capability estimates available in the full profile. See all results ↓ · Compare published benchmarks →

Model evidence summary

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A model-wide score would mix effort settings. This page summarizes published evidence; only identified configurations receive leaderboard ranks.

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The capability chart summarizes evidence across reported settings, not a runnable configuration or a leaderboard rank.

Performance profile

Capabilities

Adjusted comparison score · 0–100

Filled points are supported; hollow points are preliminary. Lines stop at unknown capabilities. Exact values and sources follow below.

Agentic1 families · 1 with independent evidence · Preliminary0.1

1 core families; 40 direct opponents across 18 labs. Needs broader benchmark and opponent support

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: No supported estimate; 11/11 scenarios unsupported. Without one publisher: No supported estimate; 15/15 unsupported. Smoothing check: No supported estimate; 3/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: family and publisher holdouts improved on neutral predictions within evaluated coverage; source sensitivity still requires inspection. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

GDPval: 0.0 observed win share
artificialanalysis.ai · Source 1

Hard reasoning2 families · 2 with independent evidence · Supported5.1

2 core families; 51 direct opponents across 10 labs.

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: 4.0–5.3; 2/7 scenarios unsupported. Without one publisher: 3.3–5.4; 2/16 unsupported. Smoothing check: 1.0–17.1; 0/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: family and publisher holdouts improved on neutral predictions within evaluated coverage. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

ARC-AGI: 4.3 observed win share
arcprize.org · Source 1
Humanity’s Last Exam: 28.6 observed win share
scale.com · Source 1

Coding1 families · 1 with independent evidence · Preliminary0.1

1 core families; 18 direct opponents across 8 labs. Needs broader benchmark and opponent support

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: No supported estimate; 7/7 scenarios unsupported. Without one publisher: No supported estimate; 20/20 unsupported. Smoothing check: No supported estimate; 3/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: family and publisher holdouts improved on neutral predictions within evaluated coverage. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

SWE-bench Verified: 0.0 observed win share
swebench.com · Source 1

Human pref1 families · 1 with independent evidence · Supported3.2

1 core families; 114 direct opponents across 19 labs.

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: No supported estimate; 1/1 scenarios unsupported. Without one publisher: No supported estimate; 1/1 unsupported. Smoothing check: 0.5–13.0; 0/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: cross-family and cross-publisher predictions could not be evaluated from the available comparison network. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

Human preference (Arena): 29.8 observed win share
lmarena.ai · Source 1

Knowledge1 families · 1 with independent evidence · PreliminaryUnknown

1 core families; 51 direct opponents across 12 labs. No connected comparison to the complete reference panel

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: No supported estimate; 4/4 scenarios unsupported. Without one publisher: No supported estimate; 5/5 unsupported. Smoothing check: No supported estimate; 3/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: almost no publisher-held-out comparisons remained estimable. Cross-source validity is unresolved. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

MMLU-Pro: 58.8 observed win share
huggingface.co · Source 1

MultimodalNo comparable evidenceUnknown

0 core families; 0 direct opponents across 0 labs. No admitted core comparisons

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: No supported estimate; 8/8 scenarios unsupported. Without one publisher: No supported estimate; 8/8 unsupported. Smoothing check: No supported estimate; 3/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: limited publisher-held-out coverage. Cross-source validity is unresolved. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

Long contextNo comparable evidenceUnknown

0 core families; 0 direct opponents across 0 labs. No admitted core comparisons

Estimated against the same complete panel: gpt-5.6-sol claude-opus-4-8 gemini-3.1-pro . Indirect comparisons assume performance can be summarized by one strength within this capability.

Refit without one family: No supported estimate; 5/5 scenarios unsupported. Without one publisher: No supported estimate; 5/5 unsupported. Smoothing check: No supported estimate; 3/3 unsupported. These are sensitivity checks, not confidence intervals.

Audit: family and publisher holdouts underperformed neutral predictions. Treat this as an exploratory estimate. Validation audit.

Matched family win shares below describe source evidence; they are not averaged to produce the adjusted score.

Scores estimate outcomes against a shared reference panel; they are not accuracy percentages. Sparse or disconnected evidence cannot qualify an overall profile. Open a capability to inspect its evidence.

Compare 1 effort levels across 24 benchmark/harness combinations →

Reported effort · Not specified

Settings reported in this model's published benchmark results, including results outside the aggregate. Effort names are provider-specific. These are not API defaults or equal compute budgets.

Not specified: 8 observations

Mixed settings means multiple settings occur in the evidence. Best across efforts means the source selected its best reported result across settings; it does not mean Max. Unspecified settings stay unknown. This model-summary chart combines reported settings. The leaderboard keeps identified configurations separate and excludes unknown effort.

Inspect each result and its source ↓ · Download effort evidence

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Score contributions and missing evidence

6 contributing families across 5 capabilities. Fixed reference panels do not change when the catalog expands.

Capability is fitted jointly across families. Capability estimates below describe different task areas; their weighted sum is not the Capability score.

Results without reviewed compatibility or a reference match remain in the raw evidence below. Coverage counts only contributing results.

Model information & shareable badge

Lab: Meta
Catalog status: open-weights-available
Availability: Open weights available for self-hosting
Family: Llama 4
Released: —
Context: —
License: —
Model card: https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct
Default Capability family coverage: /badge/llama-4-maverick.svg

Benchmark scores & sources

Original results, evaluation harnesses, and evidence behind this model.

Benchmark	Bucket	Score	Harness	Evidence	Source-recorded date
ARC-AGI-2	Hard reasoning	0%	ARC Prize verified Effort: Not specified contributes to capability	official board	2025-04-05
GDPval-AA	Agentic	-45	Artificial Analysis GDPval-AA Effort: Not specified contributes to capability	official board	2026-09-12
GPQA Diamond	Hard reasoning	69.8%	GPQA Diamond reported Effort: Not specified	lab self-report Legacy self-report lacks a reviewed comparison configuration	2025-04-05
Humanity's Last Exam	Hard reasoning	5.68%	HLE no tools Effort: Not specified contributes to capability	official board	2025-04-10
LiveCodeBench	Coding	43.4%	LiveCodeBench pass@1 Effort: Not specified	lab self-report Legacy self-report lacks a reviewed comparison configuration	2025-04-05
LMArena Text Arena	Human pref	1327	LMArena Text Effort: Not specified contributes to capability	official board	2026-09-11
MMLU-Pro	Knowledge	80.5%	MMLU-Pro reported Effort: Not specified contributes to capability	official board	2026-09-11
SWE-bench Verified	Coding	21.04%	SWE-bench Verified official Effort: Not specified contributes to capability	official board	2025-07-20
DeepSWE v1.1	Agentic	—	—	—	—
OSWorld-Verified	Agentic	—	—	—	—
SWE-bench Pro	Agentic	—	—	—	—
Terminal-Bench 2.1	Agentic	—	—	—	—