Meta: Llama 4 Maverick
Analysis Summary
Llama 4 Maverick is Meta's multimodal model with a 1M token context window, vision, tool use, and function calling. Its measured general reasoning, instruction following, coding, and long-context results are useful for a value-oriented model, while the listed pricing supports broad experimentation and production volume.
It fits large brief analysis, document comparison, visual content processing, codebase context gathering, content transformation, and supervised tool workflows. The agentic measurement is limited, so it should not be trusted with broad autonomous permissions or complex multi-step execution without safeguards. Its context capacity is a major operational asset for consolidating extensive source material, but retrieval quality should still be tested in practice.
Adopt Maverick for affordable multimodal and long-context workloads. It is a strong secondary model for agency operations, while advanced reasoning systems remain preferable for difficult strategy and autonomous engineering.
Assessed August 9, 2026
Editorial notes
Llama 4 Maverick offers a 1M token context, vision, function calling, and low pricing, with useful reasoning and long-context measurements. Its agentic capability is limited, so it suits supervised document and content workflows more than autonomous agents.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 4 Maverick offers a 1M token context, vision, function calling, and low pricing, with useful reasoning and long-context measurements. Its agentic capability is limited, so it suits supervised document and content workflows more than autonomous agents.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.5 Intelligence Index·16.3 Coding Index·1.2 Agentic Index·19.3 Math Index
How Meta: Llama 4 Maverick compares
Meta: Llama 4 Maverick ranks #225 of 432 AI models we track for overall intelligence, #154 of 205 for coding, #174 of 187 for agentic tasks. Its 1M-token context window is larger than 94% of the models we list. At $0.20 per million input tokens it is cheaper than 57% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.70 | $0.000696 |
What would Meta: Llama 4 Maverick cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 4 Maverick for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: 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..
Frequently asked questions about Meta: Llama 4 Maverick
How much does Meta: Llama 4 Maverick cost?
Meta: Llama 4 Maverick costs $0.20 per million input tokens and $0.70 per million output tokens.
What is the context window of Meta: Llama 4 Maverick?
Meta: Llama 4 Maverick has a context window of 1,048,576 tokens (1M).
Is Meta: Llama 4 Maverick good for coding?
On our coding benchmark index, Meta: Llama 4 Maverick ranks #154 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can Meta: Llama 4 Maverick do?
Meta: Llama 4 Maverick supports image/vision input, tool use, and function calling.
Who created Meta: Llama 4 Maverick?
Meta: Llama 4 Maverick is developed by Meta and was released on April 5, 2025.