L LLM Cloud Hub
Side-by-side comparison

Weaver (alpha) vs Hermes 2 Pro - Llama-3 8B

Mancer

Weaver (alpha)

{} JSON
Input / 1M
$0.7500
Output / 1M
$1.0000
View Weaver (alpha) →
Nous

Hermes 2 Pro - Llama-3 8B

{} JSON
Input / 1M
$0.1400
Output / 1M
$0.1400
View Hermes 2 Pro - Llama-3 8B →
Weaver (alpha)Hermes 2 Pro - Llama-3 8B
Provider Mancer Nous
Context window Maximum tokens (input + output) the model can process in a single request. Glossary → 8,000 8,192
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). json_mode json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → 0.7500 0.1400
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → 1.0000 0.1400

Frequently asked questions

Which is cheaper, Weaver (alpha) or Hermes 2 Pro - Llama-3 8B?

Hermes 2 Pro - Llama-3 8B is cheaper than Weaver (alpha) on a 50/50 input/output blend by about $0.735 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, Weaver (alpha) or Hermes 2 Pro - Llama-3 8B?

Hermes 2 Pro - Llama-3 8B has the larger context window at 8k tokens versus 8k tokens for Weaver (alpha). That means Hermes 2 Pro - Llama-3 8B can ingest about 1.0x as much text per request.

What is the difference between Weaver (alpha) and Hermes 2 Pro - Llama-3 8B?

Weaver (alpha) comes from Mancer; Hermes 2 Pro - Llama-3 8B comes from Nous. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.

Keyboard shortcuts

?
Show this overlay
/
Focus the first form field
g h
Go to / (home)
g b
Go to /best-llm-for
g c
Go to /cost
g s
Go to /self-hosted
g x
Go to /compliance
Esc
Close any overlay

Inspired by Linear and GitHub conventions. The two-key sequences (g then h) work within ~1 second.