---
title: "Meta: Llama 4 Maverick — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/meta-llama__llama-4-maverick/
description: "Meta: Llama 4 Maverick: $0.200/M in, $0.800/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Meta: Llama 4 Maverick — price, capability and what beats it · Undominated.ai

> Meta: Llama 4 Maverick: $0.200/M in, $0.800/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Meta

# Llama 4 Maverick

Meta · released 2025-04-05 · llama-4-community

 $0.350 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## MiMo-V2.5 is both better and cheaper.

It scores **+23.5** higher and costs **50% less** ($0.175/M against $0.350/M) on this workload — and it does everything this model does.

[DeepSeek V4 Flash 0731](/models/deepseek__deepseek-v4-flash-0731) is cheaper still (70% less) but drops no image input.

## Our take

 editorial — not a measurement

Now the legacy option in Meta's lineup, superseded by the Muse line, but still the one with weights you can actually download and a licence you can read. $0.20/$0.80 on OpenRouter's default endpoint with a 1M window. The Llama community licence is not OSI-open — it carries field-of-use and scale restrictions — so check it against your deployment before assuming Apache-style freedom. For genuinely unrestricted weights, gpt-oss-120b or the Apache-licensed Qwen and Granite models are cleaner choices.

### Strengths

 - Genuinely downloadable weights with a published licence
- $0.20/$0.80 at the default hosted endpoint
- 1M context window, vision-capable
- Broad third-party hosting — real price competition

### Weaknesses

 - Llama community licence has field-of-use and scale restrictions
- Superseded by the Muse line on capability
- 16k max output is restrictive
- No caching support at the listed endpoint

### Reach for it when

 - Self-hosted deployment within licence terms
- Vision tasks at low cost
- Fine-tuning bases

### Avoid it if

 - The Llama licence restrictions bind you
- You need long outputs

Sources: openrouter.ai

### Every price dimension

| Input | $0.200 /M |
| --- | --- |
| Output | $0.800 /M |

### Independent scores

| Intelligence | 14.5 |
| --- | --- |
| Coding | 16.3 |
| Agentic | 1.2 |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

### Capability

| Context window | 1.0M |
| --- | --- |
| Max output | 16K |
| Input modes | text, image |
| Tool use | yes |
| Reasoning | no |
| Knowledge cutoff | 2024-08-31 |
| Open weights | yes |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | verified |
| Cross-checked | vendor page |

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...