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Head-to-head comparison

EXAONE 4.0.1 32B vs gpt-oss-120b

EXAONE 4.0.1 32B (LGAI EXAONE) and gpt-oss-120b (OpenAI) 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, EXAONE 4.0.1 32B holds the stronger ModelCap Index position (#122 vs #124); and gpt-oss-120b ships open weights.

Which should you choose?

Choose EXAONE 4.0.1 32B if…

  • you want the stronger overall ModelCap Index position — #122 against #124 (36.9 vs 36.2 points).

Choose gpt-oss-120b if…

  • you want to self-host: gpt-oss-120b ships open weights while EXAONE 4.0.1 32B is restricted license.
  • you want provider choice — 19 listed API providers against 0.
  • you want the more recently listed model — gpt-oss-120b was listed 5 August 2025, EXAONE 4.0.1 32B 29 July 2025.

EXAONE 4.0.1 32B vs gpt-oss-120b: specs, pricing and context

Specification comparison of EXAONE 4.0.1 32B and gpt-oss-120b
FieldEXAONE 4.0.1 32BLGAI EXAONEgpt-oss-120bOpenAI
ModelCap Index position#122#124
Index score36.936.2
EvidenceEstimatedMeasured
Input price / 1M tokensUnlisted$0.037
Output price / 1M tokensUnlisted$0.17
Context window— tokens131K tokens
Max output tokens118K
API providers listed019
Weight accessRestricted licenseOpen weights
Input modalitiesTextText
First listed29 July 20255 August 2025
PublisherLGAI EXAONEOpenAI

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 · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: EXAONE 4.0.1 32B vs gpt-oss-120b

Public benchmark boards where EXAONE 4.0.1 32B or gpt-oss-120b has a published result
BoardEXAONE 4.0.1 32Bgpt-oss-120bLeads
Arena codingArena (LMArena)13911383–1398Only one result
SWE-benchSWE-bench (Princeton / SWE-agent team)26.0%Only one result
AA Intelligence IndexArtificial Analysis12.3intelligence-index:v4.3:highOnly one result
AA Terminal-Bench 2.1Artificial Analysis26.2%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="gpt-oss-120b (high)":reasoning=trueOnly one result
AA τ²-Bench TelecomArtificial Analysis65.8%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="gpt-oss-120b (high)":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis19.6%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="gpt-oss-120b (high)":reasoning=trueOnly 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.

EXAONE 4.0.1 32B vs gpt-oss-120b: common questions

Is EXAONE 4.0.1 32B better than gpt-oss-120b?

EXAONE 4.0.1 32B ranks higher on the ModelCap Index as of 13 September 2026: #122 against #124. 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 gpt-oss-120b?

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 gpt-oss-120b?

Both publish a —-token context window.

Which is better for coding, EXAONE 4.0.1 32B or gpt-oss-120b?

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 gpt-oss-120b open-weight models?

EXAONE 4.0.1 32B: Restricted license. gpt-oss-120b: 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 gpt-oss-120b?

ModelCap currently lists 0 API providers for EXAONE 4.0.1 32B and 19 for gpt-oss-120b, 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 gpt-oss-120b 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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