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ModelCap

Head-to-head comparison

EXAONE 4.0.1 32B vs Fara1.5 4B

EXAONE 4.0.1 32B (LGAI EXAONE) and Fara1.5 4B (Microsoft) 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 13 September 2026

As of 13 September 2026, Fara1.5 4B holds the stronger ModelCap Index position (#119 vs #122); and Fara1.5 4B ships open weights.

Which should you choose?

Choose EXAONE 4.0.1 32B if…

  • ModelCap publishes no field on which EXAONE 4.0.1 32B leads Fara1.5 4B for this pair.

Choose Fara1.5 4B if…

  • you want the stronger overall ModelCap Index position — #119 against #122 (37.5 vs 36.9 points).
  • you want to self-host: Fara1.5 4B ships open weights while EXAONE 4.0.1 32B is restricted license.
  • you want the more recently listed model — Fara1.5 4B was listed 17 July 2026, EXAONE 4.0.1 32B 29 July 2025.

EXAONE 4.0.1 32B vs Fara1.5 4B: specs, pricing and context

Specification comparison of EXAONE 4.0.1 32B and Fara1.5 4B
FieldEXAONE 4.0.1 32BLGAI EXAONEFara1.5 4BMicrosoft
ModelCap Index position#122#119
Index score36.937.5
EvidenceEstimatedInherited
Input price / 1M tokensUnlistedUnlisted
Output price / 1M tokensUnlistedUnlisted
Context window— tokens— tokens
Max output tokens
API providers listed00
Weight accessRestricted licenseOpen weights
Input modalitiesTextText, Image
First listed29 July 202517 July 2026
PublisherLGAI EXAONEMicrosoft

Evidence: global-corpus-prior over 186 held-out anchors (9%); launch card against 7 resolved peers on 8 rows (91%); optimism haircut 0 from cross-lab-probe; shrunk 1.5 up toward the measured corpus · finetune of Qwen/Qwen3.5-4B · finetune (100%). Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: EXAONE 4.0.1 32B vs Fara1.5 4B

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.

EXAONE 4.0.1 32B vs Fara1.5 4B: common questions

Is EXAONE 4.0.1 32B better than Fara1.5 4B?

Fara1.5 4B ranks higher on the ModelCap Index as of 13 September 2026: #119 against #122. 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 EXAONE 4.0.1 32B cheaper than Fara1.5 4B?

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, EXAONE 4.0.1 32B or Fara1.5 4B?

Both publish a —-token context window.

Which is better for coding, EXAONE 4.0.1 32B or Fara1.5 4B?

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 EXAONE 4.0.1 32B and Fara1.5 4B open-weight models?

EXAONE 4.0.1 32B: Restricted license. Fara1.5 4B: 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 EXAONE 4.0.1 32B and Fara1.5 4B?

ModelCap currently lists 0 API providers for EXAONE 4.0.1 32B and 0 for Fara1.5 4B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this EXAONE 4.0.1 32B vs Fara1.5 4B comparison?

Every figure comes from the sealed ModelCap dataset published 13 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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