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Comparison of Intfloat: E5-Base-v2, Step-5-Preview, Nemotron-3-Embed-1B-BF16
3 modelsintfloatIntfloat: E5-Base-v2Remove ×stepfun-aiStep-5-PreviewRemove ×nvidiaNemotron-3-Embed-1B-BF16Remove ×
What’s differentThe e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as…600B total and 27B active parameters; accepts images and video, with FP8 and BF16 weights for deployment.Nemotron-3-Embed-1B-BF16 is a compact multilingual text embedding model from NVIDIA, pruned and distilled from Ministral-3 to ~1B parameters, that maps text into 2048-dimensional dense vectors for retrieval…
DateNov 22, 2023ListedSep 18, 2026ReleasedJul 15, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$1.00 in / $2.70 out/ 1M tokensDeepInfra · all routes ↗See provider quotes
Provider endpoints1 endpoint →6 endpoints →0 endpoints →
AA Intelligence ↗4.3.2Not reported43.73 ↗Effort not specifiedIndependent resultNot reported
AA-Briefcase ↗1.1Not reported1,424.32 ↗Effort not specifiedIndependent resultNot reported
GDPval-AA ↗2.1Not reported1,586.63 ↗Effort not specifiedIndependent resultNot reported
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reported50.96% ↗Effort not specifiedIndependent resultNot reported
Terminal-Bench 4.0 · AA ↗Not reported33.33% ↗Effort not specifiedHarness unreportedIndependent resultNot reported
SciCode ↗AA Index 4.3.2 collectionNot reported58.91% ↗AA · Under reviewEffort not specifiedIndependent resultNot reported
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reported46.48% ↗Effort not specifiedIndependent resultNot reported
GDP.pdf ↗AA Index 4.3.2 collectionNot reported14.8% ↗Effort not specifiedIndependent resultNot reported
CritPt ↗AA Index 4.3.2 collectionNot reported20.86% ↗AA · Under reviewEffort not specifiedIndependent resultNot reported
AA-Omniscience ↗AA Index 4.3.2 collectionNot reported16.38 ↗Effort not specifiedIndependent resultNot reported
AA-LCR ↗1.1Not reported88.33% ↗Effort not specifiedIndependent resultNot reported
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported62.01% ↗Effort: max · single run · equal mean of 7 suitesIndependent resultNot reported
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported76.9% ↗Effort: max · single runIndependent resultNot reported
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported72.8% ↗Effort: max · single runIndependent resultNot reported
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported24% ↗Effort: max · single runIndependent resultNot reported
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported85.6% ↗Effort: max · single runIndependent resultNot reported
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported27.5% ↗Effort: max · single runIndependent resultNot reported
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported63.5% ↗Effort: max · single runIndependent resultNot reported
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported83.8% ↗Effort: max · single runIndependent resultNot reported
FreshStack · MTEB 2.14.3 ↗MTEB 2.14.3; test/default; dataset 7a20df1aNot reportedNot reported0.4173 ↗Revision f8801746; test/defaultContributor reported
Context window5121M32.8K
Max output46064K—
Parameters——1B
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputNot reportedSupportedNot reported
Video inputNot reportedSupportedNot reported
ReasoningNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedNot reported
Open weightsSupportedSupportedNot reported

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