Bedrock
100.00%Context128K
Max output8.2K
p50 latency228 ms
Throughput—
Input price$0.24
Output price$0.97
Zero retentionNo training
Model directory
Baseer model profileLanguage model
meta/llama-4-maverick
Llama 4 Maverick 17B Instruct
As a general purpose LLM, Llama 4 Maverick contains 17 billion active parameters, 128 experts, and 400 billion total parameters, offering high quality at a lower price compared to Llama 3.3 70B.
Input / 1M tokens$0.2
Output / 1M tokens$0.8
Maximum context131.1K
Inference providers2
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
Deepinfra
99.95%Context131.1K
Max output8.2K
p50 latency259 ms
Throughput57.5 t/s
Input price$0.2
Output price$0.8
Zero retentionNo training
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Bedrock | 128K | 8.2K | 228 ms | — | 100.000% | $0.24 | $0.97 | |
Deepinfra | 131.1K | 8.2K | 259 ms | 57.5 t/s | 99.946% | $0.2 | $0.8 |
What can this model do?
Available modalities and capabilities across inference providers.
TextImageTool useVisionTools
Technical profile
- Model type
- Language model
- Release date
- Apr 5, 2025
- Knowledge cutoff
- 2024-08
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
meta/llama-4-maverickModel profile updated: Sep 12, 2026, 1:46 PM
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