aisingapore · Open weights

Qwen SEA-LION v4 32B

Added Oct 15, 2026Open weights

AI Singapore’s Qwen-based multilingual model, adapted for Southeast Asian languages and cultural contexts. Supports text chat and tool calling with a 128K context window.

Tools

Input: Text
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.30
Output: $0.60

Reference prices as published by the model provider. API example

Specifications

Context window: 131.1K
Max output: —

Side by side

Qwen SEA-LION v4 32B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Qwen SEA-LION v4 32BaisingaporeThis model	Gemma SEA-LION v4 27BaisingaporeRemove
Provider	aisingapore	aisingapore
Discovery tier	Open weights	Efficient
Added	Oct 15, 2026	Oct 15, 2026
Context window	131.07K	131.07K
Pricing, USD per 1M tokens
Input	$0.30	$0.24Best
Output	$0.60	$0.48Best
Capabilities
Tools	Yes	No
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "aisingapore/qwen-sea-lion-v4-32b-it",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="aisingapore/qwen-sea-lion-v4-32b-it",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

aisingapore

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