L LLM Cloud Hub
Side-by-side comparison

Trinity Mini vs Qwen3 Coder 30B A3B Instruct

Arcee AI

Trinity Mini

πŸ”§ Tools {} JSON
Input / 1M
$0.0450
Output / 1M
$0.1500
View Trinity Mini β†’
Qwen

Qwen3 Coder 30B A3B Instruct

πŸ”§ Tools {} JSON
Input / 1M
$0.0700
Output / 1M
$0.2700
View Qwen3 Coder 30B A3B Instruct β†’
Trinity MiniQwen3 Coder 30B A3B Instruct
Provider Arcee AI Qwen
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 131,072 160,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). tools, json_mode tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.0450 0.0700
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.1500 0.2700

Frequently asked questions

Which is cheaper, Trinity Mini or Qwen3 Coder 30B A3B Instruct?

Trinity Mini is cheaper than Qwen3 Coder 30B A3B Instruct on a 50/50 input/output blend by about $0.0725 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, Trinity Mini or Qwen3 Coder 30B A3B Instruct?

Qwen3 Coder 30B A3B Instruct has the larger context window at 160k tokens versus 131k tokens for Trinity Mini. That means Qwen3 Coder 30B A3B Instruct can ingest about 1.2x as much text per request.

What is the difference between Trinity Mini and Qwen3 Coder 30B A3B Instruct?

Trinity Mini comes from Arcee AI; Qwen3 Coder 30B A3B Instruct comes from Qwen. They differ in pricing, context window, and supported capabilities β€” 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.