Context Window
16,384
Input tokens
Full-context input ≈ $0.00
Model Cost Profile
Developer: meta-llama· Tokenizer: Llama3 · Instruct: llama3 · Quantization: fp8
Canonical ID: meta-llama/llama-3.1-8b-instruct
Pricing updated Apr 24, 2026
Live Pricing
Input: $0.0200
Output: $0.0500
Last synced Apr 24, 2026 · MMLU score via public benchmark data
Meta: Llama 3.1 8B Instruct is designed for applications requiring extensive context, making it ideal for complex conversational agents, content generation, and data analysis tasks. With a context window of 16,384 tokens, teams can efficiently handle longer inputs and outputs, enhancing the model's ability to maintain coherence in extended dialogues. The pricing structure, at $0.02 per million tokens for input and $0.05 for output, allows teams to budget effectively based on their usage patterns while optimizing costs for high-volume applications.
Context Window
16,384
Input tokens
Full-context input ≈ $0.00
Max Output
16,384
Completion tokens
Input Price / 1M
$0.0200
Prompt tokens
Output Price / 1M
$0.0500
Completion tokens
Top Benchmark
47.6
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for Meta: Llama 3.1 8B Instruct. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.0200
Current Output / 1M
$0.0500
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
99.9%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0200 |
| Output (Completion) | $0.0500 |
Estimate monthly spend for Meta: Llama 3.1 8B Instruct based on your workload.
Estimated Monthly Cost
$1.10
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.