Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Updated 24 min ago · first seen 11 Sept 2026
model_01M294WWHM1DPMKRSB9W30YSAT
- Context
- 1M tokens
- T2 · 24 min ago
- Released
- 5 Apr 2025
- T2 · 2 h ago
- Knowledge cutoff
- Aug 2024
- T2 · 2 h ago
Specification
- Release date
- 5 Apr 2025
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Openness
- open-weights
Source:Artificial AnalysisT2observed 24 min agomedium
- Context window
- 1M tokens
Source:Artificial AnalysisT2observed 24 min agomedium
- Max output
- 115.2K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
- Aug 2024
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Input modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tokenizer
- Llama4
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Hugging Face repo
- meta-llama/Llama-4-Maverick-17B-128E-Instruct
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Aa median output tokens per second
- 89.9
Source:Artificial AnalysisT2observed 24 min agomedium
- Openrouter id
- meta-llama/llama-4-maverick
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Supported parameters
- frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
18
Source tiers
T218
Freshest observation
24 min ago
Conflicts
None
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 1M tokens
Source:Artificial AnalysisT2observed 24 min agomedium
- Max output
- 115.2K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
- Aug 2024
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tokenizer
- Llama4
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 17.84% | pass^1 | aa_slug=llama-4-maverick · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Aider polyglot | 99.1% | percent_cases_well_formed | date=2025-04-06 · command=aider --model nvidia_nim/meta/llama-4-maverick-17b-128e-instruct · dirname=2025-04-06-08-39-52--llama-4-maverick-17b-128e-instruct-polyglot-whole · versions=0.81.2.dev | 6 Apr 2025 | aider.chatT2 |
| Aider polyglot | 15.6% | pass_rate_2 | date=2025-04-06 · command=aider --model nvidia_nim/meta/llama-4-maverick-17b-128e-instruct · dirname=2025-04-06-08-39-52--llama-4-maverick-17b-128e-instruct-polyglot-whole · versions=0.81.2.dev | 6 Apr 2025 | aider.chatT2 |
| Artificial Analysis Intelligence Index | 9.3 | index | aa_slug=llama-4-maverick · version=4.3 · estimated=false | — | artificialanalysis.aiT2 |
| GPQA | 67.07% | accuracy | aa_slug=llama-4-maverick · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 4.91% | accuracy | aa_slug=llama-4-maverick · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 42.99% | accuracy | aa_slug=llama-4-maverick · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| MMMU-Pro | 62.14% | accuracy | aa_slug=llama-4-maverick · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| SciCode | 31.71% | accuracy | aa_slug=llama-4-maverick · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 0% | accuracy | aa_slug=llama-4-maverick · variant=v4.0 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 6.82% | accuracy | aa_slug=llama-4-maverick · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 7.87% | accuracy | aa_slug=llama-4-maverick · variant=v2.1 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRoutermeta-llama/llama-4-maverick | $0.20 | $0.696 | — | — | 128K | 29 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Tokenizer
Tokenizertokenizer1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Llama4 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Llama 4 Maverick scores 6.82% on Terminal-Bench
artificial_analysisLlama 4 Maverick scores 7.87% on Terminal-Bench
artificial_analysisLlama 4 Maverick scores 0% on Terminal-Bench
artificial_analysisLlama 4 Maverick scores 17.84% on τ²-bench
artificial_analysisLlama 4 Maverick scores 62.14% on MMMU-Pro
artificial_analysisLlama 4 Maverick scores 42.99% on IFBench
artificial_analysisLlama 4 Maverick scores 31.71% on SciCode
artificial_analysisLlama 4 Maverick scores 4.91% on Humanity's Last Exam
artificial_analysisLlama 4 Maverick scores 67.07% on GPQA
artificial_analysisLlama 4 Maverick scores 9.3 on Artificial Analysis Intelligence Index
artificial_analysisLlama 4 Maverick: context length changed from 1048576 to 1000000
Context window1.05M tokens→1M tokensartificial_analysisLlama 4 Maverick scores 99.1% on Aider polyglot
aider_leaderboardLlama 4 Maverick scores 15.6% on Aider polyglot
aider_leaderboardOpenRouter lists Llama 4 Maverick at $0.2 in / $0.696 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 24 min ago | 1 |
| Aider polyglot leaderboard (data file on GitHub) | raw.githubusercontent.com/Aider-AI/aider/main/aider/website/_data/polyglot_leaderboard.yml | leaderboard | T2· Quality secondary | 24 min ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 29 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.