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Head-to-head comparison

Gemma SEA LION v4 4B VL vs Olmo 3.1 32B Think

Gemma SEA LION v4 4B VL (Aisingapore) and Olmo 3.1 32B Think (Allen Institute) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 10 September 2026

As of 10 September 2026, Gemma SEA LION v4 4B VL holds the stronger ModelCap Index position (#156 vs #159); and Olmo 3.1 32B Think ships open weights.

Which should you choose?

Choose Gemma SEA LION v4 4B VL if…

  • you want the stronger overall ModelCap Index position — #156 against #159 (18.8 vs 17.1 points).
  • you want the more recently listed model — Gemma SEA LION v4 4B VL was listed 5 February 2026, Olmo 3.1 32B Think 10 December 2025.

Choose Olmo 3.1 32B Think if…

  • you want to self-host: Olmo 3.1 32B Think ships open weights while Gemma SEA LION v4 4B VL is restricted license.

Gemma SEA LION v4 4B VL vs Olmo 3.1 32B Think: specs, pricing and context

Specification comparison of Gemma SEA LION v4 4B VL and Olmo 3.1 32B Think
FieldGemma SEA LION v4 4B VLAisingaporeOlmo 3.1 32B ThinkAllen Institute
ModelCap Index position#156#159
Index score18.817.1
EvidenceInheritedMeasured
Input price / 1M tokensUnlistedUnlisted
Output price / 1M tokensUnlistedUnlisted
Context window— tokens— tokens
Max output tokens——
API providers listed00
Weight accessRestricted licenseOpen weights
Input modalitiesText, ImageText
First listed5 February 202610 December 2025
PublisherAisingaporeAllen Institute

Evidence: finetune of google/gemma-3-4b-it · finetune (100%) · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Gemma SEA LION v4 4B VL vs Olmo 3.1 32B Think

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Gemma SEA LION v4 4B VL vs Olmo 3.1 32B Think: common questions

Is Gemma SEA LION v4 4B VL better than Olmo 3.1 32B Think?

Gemma SEA LION v4 4B VL ranks higher on the ModelCap Index as of 10 September 2026: #156 against #159. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Gemma SEA LION v4 4B VL cheaper than Olmo 3.1 32B Think?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, Gemma SEA LION v4 4B VL or Olmo 3.1 32B Think?

Both publish a —-token context window.

Which is better for coding, Gemma SEA LION v4 4B VL or Olmo 3.1 32B Think?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Gemma SEA LION v4 4B VL and Olmo 3.1 32B Think open-weight models?

Gemma SEA LION v4 4B VL: Restricted license. Olmo 3.1 32B Think: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Gemma SEA LION v4 4B VL and Olmo 3.1 32B Think?

ModelCap currently lists 0 API providers for Gemma SEA LION v4 4B VL and 0 for Olmo 3.1 32B Think, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Gemma SEA LION v4 4B VL vs Olmo 3.1 32B Think comparison?

Every figure comes from the sealed ModelCap dataset published 10 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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