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Head-to-head comparison

Olmo 3.1 32B Think vs Arcee SuperNova v1

Olmo 3.1 32B Think (Allen Institute) and Arcee SuperNova v1 (Arcee AI) 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 14 September 2026

As of 14 September 2026, Arcee SuperNova v1 holds the stronger ModelCap Index position (#173 vs #174); and Olmo 3.1 32B Think ships open weights.

Which should you choose?

Choose Olmo 3.1 32B Think if…

  • you want to self-host: Olmo 3.1 32B Think ships open weights while Arcee SuperNova v1 is restricted license.
  • you want the more recently listed model — Olmo 3.1 32B Think was listed 10 December 2025, Arcee SuperNova v1 10 June 2025.

Choose Arcee SuperNova v1 if…

  • you want the stronger overall ModelCap Index position — #173 against #174 (17.8 vs 17.7 points).

Olmo 3.1 32B Think vs Arcee SuperNova v1: specs, pricing and context

Specification comparison of Olmo 3.1 32B Think and Arcee SuperNova v1
FieldOlmo 3.1 32B ThinkAllen InstituteArcee SuperNova v1Arcee AI
ModelCap Index position#174#173
Index score17.717.8
EvidenceMeasuredInherited
Input price / 1M tokensUnlistedUnlisted
Output price / 1M tokensUnlistedUnlisted
Context window— tokens— tokens
Max output tokens
API providers listed00
Weight accessOpen weightsRestricted license
Input modalitiesTextText
First listed10 December 202510 June 2025
PublisherAllen InstituteArcee AI

Evidence: 2 public benchmark observations across 2 boards · finetune of meta-llama/llama-3.1-70b-instruct · finetune (100%). Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Olmo 3.1 32B Think vs Arcee SuperNova v1

Public benchmark boards where Olmo 3.1 32B Think or Arcee SuperNova v1 has a published result
BoardOlmo 3.1 32B ThinkArcee SuperNova v1Leads
Arena codingArena (LMArena)13401324–1356Only one result

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.

Olmo 3.1 32B Think vs Arcee SuperNova v1: common questions

Is Olmo 3.1 32B Think better than Arcee SuperNova v1?

Arcee SuperNova v1 ranks higher on the ModelCap Index as of 14 September 2026: #173 against #174. 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 Olmo 3.1 32B Think cheaper than Arcee SuperNova v1?

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, Olmo 3.1 32B Think or Arcee SuperNova v1?

Both publish a —-token context window.

Which is better for coding, Olmo 3.1 32B Think or Arcee SuperNova v1?

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 Olmo 3.1 32B Think and Arcee SuperNova v1 open-weight models?

Olmo 3.1 32B Think: Open weights. Arcee SuperNova v1: Restricted license. 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 Olmo 3.1 32B Think and Arcee SuperNova v1?

ModelCap currently lists 0 API providers for Olmo 3.1 32B Think and 0 for Arcee SuperNova v1, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Olmo 3.1 32B Think vs Arcee SuperNova v1 comparison?

Every figure comes from the sealed ModelCap dataset published 14 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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