Llama 3 8B Instruct Pricing
FastMeta · 8K tokens context
Llama 3 8B Instruct from Meta costs $0.140 per 1 million input tokens and $0.140 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 8,192-token context window (approximately 6,144 words) with a 8K-token maximum output. A typical 1,000-token request costs $0.0001 in input charges; a 10,000-token request costs $0.0014.
| Input price | $0.140 / 1M tokens |
|---|---|
| Output price | $0.140 / 1M tokens |
| Output / input ratio | 1.0× |
| Context window | 8,192 tokens (~6,144 words) |
| Maximum output | 8,192 tokens |
| Cost per 1K tokens (input) | $0.0001 |
| Tier | Fast |
| Last verified |
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases.
Input Price
$0.140
per 1 million tokens
Output Price
$0.140
per 1 million tokens
Context Window
8K tokens
max 8K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000187 | $0.000056 |
| 10-page document (2,500 words) | 3,333 | $0.000467 | $0.00014 |
| 1,000 lines of code | 5,000 | $0.0007 | $0.00021 |
| 100K token document | 100,000 | $0.014 | $0.0042 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.140/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Cost-effective at scale
Limitations
- –Less capable than flagship models on complex reasoning
- –Smaller 8K-token context limits long-document use
Best Use Cases
Calculate Llama 3 8B Instruct Costs
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Open Calculator →Llama 3 8B Instruct — FAQ
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