Nous-Hermes-2-Yi-34B

Name: Nous-Hermes-2-Yi-34B
Brand: Together AI
Price: 0.800000 USD

Fine-tuned

Open-weights Yi-34B fine-tuned for chat. The model that put 01.AI on the open-weights map in 2023.

Nous-Hermes-2-Yi-34B is a frontier AI model from Together AI. It costs $0.800 per million input tokens and $0.800 per million output tokens (blended $0.800/M), with a 4,000-token context window.

Profile inherited from upstream Yi-34B ↗ — this is a hosted variant of the same open-weights model.

Released Nov 2023Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →

INPUT

$0.800/M

per million input tokens

OUTPUT

$0.800/M

per million output tokens

BLENDED 70/30

$0.800/M

unchanged

default reference rate · how it is calculated →

CONTEXT

4,000

tokens

What it is good at

Open weights
Bilingual EN/ZH
32K context

Typical use cases

Self-hosted bilingual chat
Fine-tune base

Benchmarks

vs. best public score

Scores inherited from Yi-34B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.

MMLU73%

Multitask academic knowledge across 57 subjects.

HumanEval56%

Python function synthesis from docstrings.

Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Nous-Hermes-2-Yi-34B cost?

Nous-Hermes-2-Yi-34B costs $0.800 per million input tokens and $0.800 per million output tokens, for a blended reference rate of $0.800 per million tokens.

What is Nous-Hermes-2-Yi-34B's context window?

Nous-Hermes-2-Yi-34B supports up to 4,000 tokens of context in a single request.

What is Nous-Hermes-2-Yi-34B best for?

Nous-Hermes-2-Yi-34B is well suited to Open weights, Bilingual EN/ZH and 32K context.

Who makes Nous-Hermes-2-Yi-34B?

Nous-Hermes-2-Yi-34B is developed and served by Together AI. It was released in Nov 2023.

Terms used on this page

Full glossary →

Token Input tokens Output tokens Price per million tokens Context window Prompt caching Batch API Blended cost