All models

Alibaba (Qwen)

Qwen3 30B A3B Instruct 2507 fastruns locally

alibaba/qwen3-30b-a3b-instruct-2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

Input / 1M

$0.10

USD per million tokens

Output / 1M

$0.30

USD per million tokens

Est. cost / token

$0.00000015

$0.15 per 1M, 3:1 mix

Context window

262K

max output 236K

Major features

Open weightsCachingJSON schemaTools

Task suitability (heuristic 1–5, not a benchmark)

  • coding3
  • reasoning2
  • math2
  • summarization4
  • extraction4
  • classification4
  • chat3
  • creative3
  • translation4
  • vision1
  • long context3
  • agentic3

Run it locally

Will it run on my machine? →
ollama run qwen3:30b
QuantizationQualityMemory needed (8K ctx)
Q2_Kpoor15.9 GB
Q3_K_Mfair18.1 GB
Q4_K_Mrecommendedgood22.1 GB
Q5_K_Mvery good25.3 GB
Q6_Kexcellent28.7 GB
Q8_0near-lossless36.5 GB
F16lossless66.5 GB

Estimates. Mixture-of-experts: memory covers all parameters; only the active ones are used per token, so it runs faster than its size suggests.

Price history

RecordedInputOutputCachedSource
2026-11-05 03:20$0.10$0.30$0.10openrouter

A row is added whenever a sync detects a price change. Vendor pricing source

Pricing (USD per 1M tokens)

Input
$0.10
Output
$0.30
Cached input
$0.10
Blended (3:1)
$0.15

Details

Company
Alibaba (Qwen)
Version
3
Family
Qwen
Released
2025-07-29
Parameters
30.5B (3B active)
Max output
236K
Open weights
Yes
Inputs
text
Last synced
25 min ago