Llama 3.1 8B Instruct Turbo API
Pricing & Specs

Meta · $0.18 input / $0.18 output per 1M tokens · 131.072K context window

No longer offered on OpenMark

$0.18
per 1M input tokens
$0.18
per 1M output tokens
131.072K
context window (tokens)

Llama 3.1 8B Instruct Turbo API is no longer offered on OpenMark (deprecated or superseded upstream). Its specs are kept here for reference — if you're still running it in production, it's worth benchmarking current alternatives: newer models are often cheaper AND better on the same task.

Llama 3.1 8B Instruct Turbo API API Pricing

TokensPrice
Input$0.18 / 1M tokens
Output$0.18 / 1M tokens

50% discount available for batch API requests. Batch API pricing is available via Together at 50%; cache pricing is not published.

What that means in practice

1x One typical task (1K input + 500 output tokens): $0.0003
1K 1,000 runs of that task: $0.27
💡 Real cost depends on how verbose the model is on YOUR prompts — benchmark to measure actual tokens, not estimates.

Llama 3.1 8B Instruct Turbo API Specs

SpecValue
Context window131.072K tokens
Input modalitiestext
Output modalitiestext
Latency (measured by OpenMark)~508ms median response
Reasoning modelNo
Tool / function callingYes
JSON modeYes
StreamingYes
Prompt cachingNo
Batch APIYes

Capabilities

chat streaming structured outputs function calling

Notes

Scheduled for deprecation on Together AI: March 06, 2026.

FAQ

How much does Llama 3.1 8B Instruct Turbo API cost?

Llama 3.1 8B Instruct Turbo API costs $0.18 per 1M input tokens and $0.18 per 1M output tokens.

What is Llama 3.1 8B Instruct Turbo API's context window?

Llama 3.1 8B Instruct Turbo API has a 131.072K-token context window.

Can I test Llama 3.1 8B Instruct Turbo API on my own task?

Llama 3.1 8B Instruct Turbo API is no longer offered on OpenMark, but you can benchmark its current alternatives from Meta and other providers on your own task — free tier available.

Still using Llama 3.1 8B Instruct Turbo API?

It's been superseded. Benchmark its current alternatives on your actual
workload — you'll likely find something cheaper AND better. Free tier available.

Test Current Alternatives — Free →