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Nous: Hermes 3 70B Instruct API Pricing

Nous: Hermes 3 70B Instruct costs $0.700 per 1M input tokens and $0.700 per 1M output tokens. Context window: 131K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
2K
HF downloads
144
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
6.7
Intelligence index · top 93% of 288 scored
$0.7
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.700
Output / 1M tokens
$0.700
Context window
131K
Max output
16K
Knowledge cutoff
2023-12-31

Training data ends here — newer events require retrieval or web search.

What would Nous: Hermes 3 70B Instruct cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$8.40
Coding agent5,0008,000 / 2,000$35.00
RAG pipeline30,0004,000 / 500$94.50
Doc summarizer2,00020,000 / 1,000$29.40

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Nous: Hermes 3 70B Instruct

Hermes 3 is a generalist language model with many improvements over [Hermes 2](/models/nousresearch/nous-hermes-2-mistral-7b-dpo), including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...

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Frequently asked questions

How much does Nous: Hermes 3 70B Instruct cost?

Nous: Hermes 3 70B Instruct costs $0.700 per 1M input tokens and $0.700 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

131K tokens, with up to 16K output tokens per response. That's roughly 164 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 96% on a typical workload with comparable quality.

Official resources