Overview
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...
Our take
The practical headache this model removes is paying flagship rates for multimodal, long-context work. It is a high-capacity mixture-of-experts model with 128 experts and 17 billion active parameters per pass, and it lists at $0.15 per 1M input tokens, cheaper than roughly three-quarters of comparable models. With a 1,048,576-token context window, vision, tool and function calling and structured JSON output, it fits a team building a document-understanding pipeline that ingests long PDFs with embedded charts, reads the images, and returns parseable JSON, all without a premium per-token bill. Unlike Claude Sonnet 5 or ChatGPT, which are polished paid assistants, this leans on an open MoE architecture and aggressive pricing to deliver multimodal long-context capability at low cost; its knowledge cutoff is August 2024. The main caveat is no free tier, so usage is metered from the first token. Ideal for developers and analysts who need affordable multimodal reasoning over large inputs and value structured output for automation. Choose it when cost-efficient vision plus long context is the priority; look to the higher-end commercial assistants if you need maximum reasoning quality, or to a free option if any per-token charge is a dealbreaker.
How Meta: Llama 4 Maverick stacks up
Among the 368 chatbots & llms tools in our directory, it ranks #81 of 355 on quality (8.7/10), 9% above the 355-tool average of 8.0, and its $0.2/1M input-token rate is in the budget end — 87% cheaper than the 345-model average of $1.58/1M.
Weighing quality against cost, Meta: Llama 4 Maverick's cost-per-quality-point of $0.02 places it in the top 27% for value among chatbots & llms tools.
Meta: Llama 4 Maverick in depth
Meta: Llama 4 Maverick, built by Meta, sits in the chatbots & llms space and is a paid tool starting at $0.20/1M tokens. Our editors rate it 8.7 out of 10 based on capability, ecosystem and value. It handles a context window of 1,048,576 tokens.
On the feature side, Meta: Llama 4 Maverick brings 1,048,576-token context window, vision (image input), tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is large 1,048,576-token context window, bigger than most models listed here, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.
Meta: Llama 4 Maverick is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓1,048,576-token context window
- ✓Vision (image input)
- ✓Tool / function calling
- ✓Structured (JSON) outputs
- ✓Knowledge cutoff 2024-08-31
Pricing
Pros
- +Large 1,048,576-token context window, bigger than most models listed here
- +Accepts images as input (vision-capable)
- +Supports tool / function calling for agent-style workflows
- +Can return structured JSON output for reliable parsing
Cons
- −No free tier — usage is billed per token
Who should use Meta: Llama 4 Maverick
- →Anyone looking for a chatbots & llms tool from Meta.
- →Teams and individuals focused on research and writing.
- →People who value large 1,048,576-token context window, bigger than most models listed here.
- →Workflows that need a 1,048,576 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
- →Those for whom no free tier — usage is billed per token is a dealbreaker.
Best for
10 Best Meta: Llama 4 Maverick Alternatives in 2026
Meta: Llama 4 Maverick is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Meta: Llama 4 Maverick, ranked and compared.
Anthropic
Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…
OpenAI
ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…
Google DeepMind
Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…
Meta
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.
Qwen
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…
Qwen
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…
Anthropic
Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing…
Anthropic
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.
Meta: Llama 4 Maverick vs top alternatives
A side-by-side look at how Meta: Llama 4 Maverick stacks up against its closest rivals.
| Feature | Meta: Llama 4 MaverickMeta | ClaudeAnthropic | ChatGPTOpenAI | GeminiGoogle DeepMind |
|---|---|---|---|---|
| Quality score | 8.7 / 10 | 9.6 / 10 | 9.5 / 10 | 9.2 / 10 |
| Starting price | $0.20/1M tokens | $20/mo | $20/mo | $20/mo |
| Free tier | No | Yes — Free tier available | Yes — Free tier available | Yes — Free tier available |
| API input price | $0.2 / 1M tokens | $10 / 1M tokens | $0.1 / 1M tokens | $0.1875 / 1M tokens |
| API output price | $0.8 / 1M tokens | $50 / 1M tokens | $0.6 / 1M tokens | $0.9375 / 1M tokens |
| Speed | — | Fast | Fast | Fast |
| Context window | 1,048,576 tokens | 200K tokens | 128K tokens | 1M-2M tokens |
| Categories | Chatbots & LLMs | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing |
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Frequently asked questions
Q. Is Meta: Llama 4 Maverick free?
No — Meta: Llama 4 Maverick is a paid tool, starting at $0.20/1M tokens.
Q. How much does Meta: Llama 4 Maverick cost?
Meta: Llama 4 Maverick starts at $0.20/1M tokens. API usage is around $0.2 per 1M input tokens and $0.8 per 1M output tokens.
Q. What is Meta: Llama 4 Maverick best for?
Meta: Llama 4 Maverick is best suited to research and writing, within the chatbots & llms category.
Q. What are the best Meta: Llama 4 Maverick alternatives?
Popular alternatives to Meta: Llama 4 Maverick include Claude, ChatGPT, Gemini and Google: Gemini 3.7 Flash (batch). Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to Meta: Llama 4 Maverick?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from Meta: Llama 4 Maverick?
Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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