Model Comparison

Aya Expanse 32B vs Qwen SEA-LION v4 32B

Compare the listed model data for Aya Expanse 32B by Cohere 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

Aya Expanse 32B: 128K tokens; Qwen SEA-LION v4 32B: 128K tokens. The listed context-window values are equal. Aya Expanse 32B is listed for no specific capability flags; 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.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

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 (Aya Expanse 32B: October 2024; 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 Aya Expanse 32B if…

Choose Aya Expanse 32B when your task aligns with catalog-listed uses or strengths such as Global AI applications in 23+ languages, Multilingual customer service AI, NGOs serving diverse language communities, 23-language model — one of the most multilingual open-weight models.

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.

Aya Expanse 32B

Browse Cohere models

Cohere's multilingual specialist — state-of-the-art performance in 23 languages. Ideal for global content generation.

Parameters: 32B

Context: 128K tokens

Catalog pricing: Research free via HuggingFace. Cohere API: $0.50/MTok for Aya models

Cohere General Purpose Open Source

View Aya Expanse 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 — Aya Expanse 32B vs Qwen SEA-LION v4 32B

Catalog specifications for Aya Expanse 32B and Qwen SEA-LION v4 32B
Specification Aya Expanse 32B Qwen SEA-LION v4 32B
Provider Cohere AI Singapore
Parameters 32B 32B
Context window 128K tokens 128K tokens
Maximum output Not listed Not listed
Catalog pricing Research free via HuggingFace. Cohere API: $0.50/MTok for Aya models Apache 2.0 — free
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed Separate numeric input/output rates not listed
License CC BY-NC 4.0 Apache 2.0
Coding support Not listed Not listed
Reasoning support Not 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 Aya Expanse 32B and Qwen SEA-LION v4 32B?
Aya Expanse 32B: 128K tokens; Qwen SEA-LION v4 32B: 128K tokens. The listed context-window values are equal. Aya Expanse 32B is listed for no specific capability flags; 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 Aya Expanse 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?
Aya Expanse 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 Aya Expanse 32B and Qwen SEA-LION v4 32B?
Aya Expanse 32B: Separate numeric input/output rates not listed (Research free via HuggingFace. Cohere API: $0.50/MTok for Aya models). 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 Aya Expanse 32B and Qwen SEA-LION v4 32B?
The catalog lists Aya Expanse 32B as October 2024 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 Aya Expanse 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.

Still deciding? Try both free — no commitment.

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