Model Comparison

Qwen3 32B vs Qwen SEA-LION v4 32B

Compare the listed model data for Qwen3 32B by Qwen and Qwen SEA-LION v4 32B by AI Singapore. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

Qwen3 32B: 128K tokens; Qwen SEA-LION v4 32B: 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; Qwen SEA-LION v4 32B is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Computed differences from catalog data

  • The listed context windows are 128K tokens and 128K tokens; the larger is 1× the smaller.
  • No shared benchmark labels are present in both catalog records.
  • The first listed parameter quantities are 32B and 32B; the larger quantity is 1× the smaller. Total and active MoE parameters are not directly equivalent.
  • A release-date gap cannot be calculated from the catalog values (Qwen3 32B: April 2025; Qwen SEA-LION v4 32B: 2025).

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose Qwen3 32B if…

Choose Qwen3 32B when your task aligns with catalog-listed uses or strengths such as Production coding assistants for enterprise software teams, Mathematical reasoning and data science, Complex document analysis and long-form reporting, Multilingual enterprise applications.

Choose Qwen SEA-LION v4 32B if…

Choose Qwen SEA-LION v4 32B when your task aligns with catalog-listed uses or strengths such as Southeast Asian enterprise applications across all ASEAN member states, Indonesian, Thai, Vietnamese government AI, ASEAN multilingual customer service, Education technology for Southeast Asian students.

Qwen3 32B

Browse Qwen models

32B dense Qwen3 — excels at complex coding, mathematics, and deep multi-step reasoning. Top performer in its size class.

Parameters: 32B

Context: 128K tokens

Catalog pricing: Open source — free. Third-party API ~$0.14-0.30/MTok

Qwen Coding · Reasoning · Agentic · Long Context Open Source

View Qwen3 32B model profile

Qwen SEA-LION v4 32B

Browse AI Singapore models

Qwen-based SEA-LION — stronger baseline with Qwen2.5 backbone for Southeast Asian languages and code.

Parameters: 32B

Context: 128K tokens

Catalog pricing: Apache 2.0 — free

AI Singapore General Purpose Open Source

View Qwen SEA-LION v4 32B model profile

Feature Comparison — Qwen3 32B vs Qwen SEA-LION v4 32B

Catalog specifications for Qwen3 32B and Qwen SEA-LION v4 32B
Specification Qwen3 32B Qwen SEA-LION v4 32B
Provider Qwen AI Singapore
Parameters 32B 32B
Context window 128K tokens 128K tokens
Maximum output Not listed Not listed
Catalog pricing Open source — free. Third-party API ~$0.14-0.30/MTok Apache 2.0 — free
Listed input/output cost per 1M tokens input $0.3, output $0.7 per 1M tokens Separate numeric input/output rates not listed
License Apache 2.0 Apache 2.0
Coding support Listed Not listed
Reasoning support Listed Not listed
Vision input Not listed Not listed
Multimodal Not listed Not listed
Open weights Yes Yes

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between Qwen3 32B and Qwen SEA-LION v4 32B?
Qwen3 32B: 128K tokens; Qwen SEA-LION v4 32B: 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; Qwen SEA-LION v4 32B is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Qwen3 32B and Qwen SEA-LION v4 32B?
No shared benchmark labels are listed in these model records. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Qwen3 32B: 128K tokens; Qwen SEA-LION v4 32B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 32B and Qwen SEA-LION v4 32B?
Qwen3 32B: input $0.3, output $0.7 per 1M tokens (Open source — free. Third-party API ~$0.14-0.30/MTok). Qwen SEA-LION v4 32B: Separate numeric input/output rates not listed (Apache 2.0 — free). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Qwen3 32B and Qwen SEA-LION v4 32B?
The catalog lists Qwen3 32B as April 2025 and Qwen SEA-LION v4 32B as 2025; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Qwen3 32B and Qwen SEA-LION v4 32B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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