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aisingapore · Efficient

Gemma SEA-LION v4 27B

Added Oct 15, 2026

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Use in the app

AI Singapore’s Gemma-based model for text chat in Southeast Asian languages, with a 128K context window. Open weights under the Gemma license; this route supports text input only.

Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.24
Output
$0.48

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
—

Side by side

Gemma SEA-LION v4 27B compared

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

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Gemma SEA-LION v4 27BaisingaporeThis modelGPT 5.1 Codex MiniOpenAIRemove
ProvideraisingaporeOpenAI
Discovery tierEfficientEfficient
AddedOct 15, 2026Nov 13, 2025
Limits
Context window131.07K400KBest
Max output—128K
Average output—136 tokens
Pricing, USD per 1M tokens
Input$0.24Best$0.25
Output$0.48Best$2.00
Cache read—$0.025
Benchmark indexes
Intelligence Index—20.4
Math Index—91.7
Capabilities
ReasoningNoYes
VisionNoYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Gemma SEA-LION v4 27B
  • GPT 5.1 Codex Mini

Intelligence Index

  • Gemma SEA-LION v4 27B—
  • GPT 5.1 Codex Mini20.4
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 91.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 66.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 18.5%

  • GPQA Diamond

    Graduate-level science questions

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 81.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 82.0%

  • IFBench

    Following precise output instructions

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 67.9%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 83.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 91.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 33.3%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 62.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemma SEA-LION v4 27B: —
    • GPT 5.1 Codex Mini: 66.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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/gemma-sea-lion-v4-27b-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/gemma-sea-lion-v4-27b-it",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

aisingapore

Other aisingapore models, starting with the same family.