Fireworks AI specializes in high-throughput open-model inference powered by its custom FireAttention kernel, delivering token generation speeds that routinely beat other hosting platforms. With HIPAA compliance and a broad catalog spanning Llama, DeepSeek, Qwen, and Mistral models, it is built for latency-sensitive production applications at scale.
Llama 3.1 8B inference pricing
- Developer
- Meta
- Quality rank
- #70
- Elo
- 1180
- Context
- 128K
- Weights
- Open
- Lowest output
- $0.050
Lowest output
$0.050
Median
$0.130
Highest
$0.200
4 results
| Provider | Plan | Price | Regions | Visit | |||
|---|---|---|---|---|---|---|---|
|
|
Llama 3.1 8B | $0.050 | $0.030 | 128K |
$0.050
/M tokens
Input $0.030/1M tokens
Blended $0.035
Verified
|
Global | Visit → |
|
|
Llama 3.1 8B Instant | $0.080 | $0.050 | 128K |
$0.080
/M tokens
Input $0.050/1M tokens
Blended $0.058
Verified
|
Global | Visit → |
|
|
Llama 3.1 8B Turbo | $0.180 | $0.180 | 128K |
$0.180
/M tokens
Input $0.180/1M tokens
Blended $0.180
Verified
|
Global | Visit → |
| Fireworks AI | Llama 3.1 8B | $0.200 | $0.200 | 128K |
$0.200
/M tokens
Input $0.200/1M tokens
Blended $0.200
Verified
|
Global | Visit → |
Providers serving this model
Together AI provides blazing-fast hosted inference for open-weight models including Llama 3.1 (8B through 405B), DeepSeek V3, Qwen 2.5, and Mistral - all at prices far below closed-model APIs. Its optimized serving infrastructure and free tier for experimentation make it the go-to platform for teams that prefer open models without self-hosting overhead.
Groq runs inference on custom LPU (Language Processing Unit) silicon rather than GPUs, delivering unmatched tokens-per-second throughput that can make even 70B models feel instant. With ultra-low pricing on Llama and DeepSeek models and a free tier for experimentation, it is the speed leader in the inference market.
DeepInfra offers rock-bottom priced hosted inference across a wide catalog of open-weight models, often undercutting competitors by 50-80%. With per-token billing as low as $0.03/M input on small models and aggressive pricing on DeepSeek V3 and Llama 70B, it is the cost champion for high-volume, budget-sensitive inference workloads.
Frequently asked questions
How much does Llama 3.1 8B cost per million tokens?
The lowest input price we track for Llama 3.1 8B is $0.030 per million tokens. Output tokens cost more; the table shows input, output, and blended pricing for every inference provider.
What is the cheapest Llama 3.1 8B API provider?
Sort the table by output or blended price to find the cheapest Llama 3.1 8B endpoint. Prices for the same model vary widely between providers, so the cheapest provider can be several times less than the most expensive.
Which providers serve the Llama 3.1 8B API?
Every provider with a published Llama 3.1 8B endpoint appears above, with input and output token pricing, context window, and throughput.
What is Llama 3.1 8B's context window?
Llama 3.1 8B supports a 128K context window. A larger context window lets you pass more tokens (documents, code, history) in a single request.
Is Llama 3.1 8B open weight or closed source?
Llama 3.1 8B is an open-weight model, so you can self-host it on any GPU provider, which usually beats managed API pricing at scale.
What is blended LLM cost?
Blended cost weights input and output token prices by a typical 3:1 ratio so you can rank providers by one number instead of comparing two prices separately.