Model Cost Profile

NousResearch: Hermes 2 Pro - Llama-3 8B

Developer: nousresearch

Pricing updated Mar 11, 2026

Input rank: #109Output rank: #52

Live Pricing

Input: $0.1400

Output: $0.1400

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

NousResearch's Hermes 2 Pro - Llama-3 8B model offers a substantial context window of 8192 tokens, making it suitable for complex applications such as document summarization and conversational AI. With an input and output pricing of $0.14 per million tokens, teams can effectively manage costs while scaling their usage for projects that require extensive data processing. This model is ideal for businesses looking to integrate advanced language capabilities into their products without incurring prohibitive expenses.

๐Ÿ“‹ Structured Output

Context Window

8,192

Tokens

Input Price / 1M

$0.1400

Prompt tokens

Output Price / 1M

$0.1400

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

NousResearch: Hermes 2 Pro - Llama-3 8B Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1400$0.1400$0.1400Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1400

Current Output / 1M

$0.1400

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FAQ

Common pricing and benchmark questions for NousResearch: Hermes 2 Pro - Llama-3 8B.

How much does NousResearch: Hermes 2 Pro - Llama-3 8B cost per 1M input tokens?

NousResearch: Hermes 2 Pro - Llama-3 8B input pricing is $0.1400 per 1M tokens based on the latest synced provider data.

How much does NousResearch: Hermes 2 Pro - Llama-3 8B cost per 1M output tokens?

NousResearch: Hermes 2 Pro - Llama-3 8B output pricing is $0.1400 per 1M tokens based on the latest synced provider data.

What context window does NousResearch: Hermes 2 Pro - Llama-3 8B support?

NousResearch: Hermes 2 Pro - Llama-3 8B supports a context window of 8,192 tokens.

How can I compare NousResearch: Hermes 2 Pro - Llama-3 8B with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.