Models · Meta
Llama 3.1 8B
Llama 3.1 8B is the most affordable model in the lineup, perfect for high-throughput, simple tasks. At just $0.05 per 1M input tokens, it's ideal when cost is the primary concern and tasks are straightforward.
Input $0.05 per 1M tokens
Output $0.08 per 1M tokens
Context 128K tokens · $0.13 combined per 1M
Benchmark performance
Source: Artificial Analysis. Updated 2026-09-20.
Key strengths
- — Extremely affordable pricing
- — Very high throughput
- — Good enough for simple tasks
- — Wide ecosystem support for fine-tuning
Best use cases
- High-volume text classification
- Simple Q&A and FAQ systems
- Pre-filtering and routing pipelines
- Edge and on-device deployments
Pricing details
| Input (per 1M tokens) | $0.05 |
| Output (per 1M tokens) | $0.08 |
| Context window | 128K tokens |
| Architecture | 8B-parameter dense transformer, 128K context, optimized for maximum throughput |
| Provider | Meta |
Ultra-cheap, via Groq
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Pricing data is sourced from official API documentation and updated weekly. Actual costs may vary based on prompt caching, batch processing, service tiers, and regional pricing. Inblix is not affiliated with Meta.