Llama 4 Maverick Chat: pricing, context window and benchmarks
Llama 4 Maverick Chat is a multimodal model from Meta AI. It offers a 128,000-token context window, costs $5.09 per million input tokens and $23.20 per million output tokens, and averages 79.7 across the index's benchmark suite.
Pricing
Llama 4 Maverick Chat costs $5.09 per million input tokens and $23.20 per million output tokens. A blended 3:1 input-to-output mix works out to about $9.62 per million tokens. Cached input is listed at $0.49 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $5.09 | per 1M tokens |
| Output | $23.20 | per 1M tokens |
| Cached input | $0.49 | per 1M tokens |
| Blended 3:1 | $9.62 | estimate per 1M tokens |
| 1M in + 1M out | $28.29 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.5 | 169 | 72th | |
| GPQA Diamond | 73.0 | 199 | 67th | |
| SWE-bench Verified | 66.6 | 177 | 71th | |
| HumanEval | 83.2 | 157 | 74th | |
| MATH-500 | 84.8 | 113 | 81th | |
| AIME 2025 | 78.9 | 102 | 83th | |
| LiveCodeBench | 76.3 | 80 | 87th | |
| IFEval | 87.4 | 123 | 80th | |
| TruthfulQA | 81.5 | 142 | 76th | |
| HellaSwag | 88.8 | 119 | 80th | |
| MMMU | 75.4 | 155 | 74th | |
| Arena Elo | 1419.9 | 150 | 75th |
What Llama 4 Maverick Chat is good for
Llama 4 Maverick Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $5.09 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Magistral | Mistral AI | 200000 | $4.75 | 79.8 |
| Qwen3 Instruct | Alibaba Cloud | 1000000 | $5.06 | 79.8 |
| Doubao 1.5 Pro | ByteDance | 200000 | $13.65 | 79.7 |
| ERNIE 4.5 Turbo | Baidu | 128000 | $13.75 | 79.7 |
| Llama 4 Maverick Chat | Meta AI | 128000 | $5.09 | 79.7 |
| Sonar Pro Pro | Perplexity | 200000 | $13.59 | 79.7 |
FAQ
How much does Llama 4 Maverick Chat cost?
Llama 4 Maverick Chat is listed at $5.09 per million input tokens and $23.20 per million output tokens. Cached input is $0.49 per million tokens. A blended 3:1 input-to-output mix is about $9.62 per million tokens.
What is the context window of Llama 4 Maverick Chat?
Llama 4 Maverick Chat has a context window of 128,000 tokens and can emit up to 32,768 output tokens per request in this index.
Is Llama 4 Maverick Chat open weights?
Yes. Llama 4 Maverick Chat is listed as an open-weight model under a open weights licence.
How does Llama 4 Maverick Chat score on benchmarks?
Llama 4 Maverick Chat averages 79.7 across the scored benchmarks in this index, ranking #130 of 600 models. Its strongest relative result is Arena Elo at 1419.9.
What is Llama 4 Maverick Chat best for?
Llama 4 Maverick Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $5.09 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.