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Comparison of Pareto Code Router, Nemotron-3-Diarization, OpenAI: GPT-6 Luna
3 modelsopenrouterPareto Code RouterRemove ×nvidiaNemotron-3-DiarizationRemove ×openaiOpenAI: GPT-6 LunaRemove ×
What’s differentThe Pareto Router maintains a tiered shortlist of strong coding models, ranked by Artificial Analysis coding percentiles. Set min_coding_score between 0 and 1 on the pareto-router plugin to control how...Nemotron 3 Diarization is an open-weight streaming Sortformer model, engineered for low-latency speaker diarization across up to 8 speakers, ordered by arrival time. It powers meeting transcription, call…Can turn reasoning off for high-volume requests; Chat Completions tool calls require reasoning_effort=none.
DateApr 21, 2026ListedSep 25, 2026ListedSep 22, 2026Released
Listed rateSee provider quotes$0.00001/ secondDeepInfra · all routes ↗Input audio second$0.10 in / $0.50 out/ 1M tokensAzure · via OpenRouter · all routes ↗azure · prompt ≤ 272000 tokens
Provider endpoints1 endpoint →1 endpoint →9 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported38.12 ↗Effort: max · MaxIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,334.83 ↗Effort: max · MaxIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,431.86 ↗Effort: max · MaxIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported53.17% ↗Effort: max · MaxIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported12.63% ↗Effort: max · MaxHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported54.63% ↗AA · Under reviewEffort: max · MaxIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported38.51% ↗Effort: max · MaxIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported22.8% ↗Effort: max · MaxIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported19.43% ↗AA · Under reviewEffort: max · MaxIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported0.65 ↗Effort: max · MaxIndependent result
AA-LCR ↗1.1Not reportedNot reported83.33% ↗Effort: max · MaxIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported69.4% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported82.5% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported43.5% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported72% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported84.5% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported48.1% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported73.4% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported81.8% ↗Effort: max · single runIndependent result
Context window2M—1.1M
Max output——128K
Parameters———
Tool callingSupportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputNot reportedNot reportedSupported
ReasoningSupportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported

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