Model · Vendors

Pareto

Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).

Board snapshot:

About this vendor

Unbiased (Circuit & Chisel) lists blended multimodal models such as Pareto on aggregator catalogs including OpenRouter. On AI Hippo this vendor hub groups Unbiased-tagged SKUs with Global Rankings placement, context metrics, and snapshot token pricing.

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Vendor snapshot

Catalog models 3
Ranked on Global board 2
Best rank #21
Price range (avg/1M) $2.00–$5.00/1M
Max context 1.0M ctx

Model types

  • Multimodal · 3

Top ranked models

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Models on this board · Global rankings

Rank Name Type Key metric 1M tokens (avg)
21 Pareto 26.10 Multimodal 1.0M ctx $2.00
22 Pareto Latest Multimodal 1.0M ctx $2.00

Catalog models (not in ranking)

Rank Name Size Price Notes
— Pareto 26.10 1.0M ctx $2.00/1M unbiased/pareto-26.10
— Pareto 26.9 262k ctx $5.00/1M unbiased/pareto-26.9
— Pareto Latest 1.0M ctx $2.00/1M ~unbiased/pareto-latest
Data sources & methodology

Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-11-02. Methodology

FAQ

What is Pareto's highest-ranked model?

Pareto 26.10 currently ranks #21 on AI Hippo's Global rankings board (snapshot 2026-11-02).

What does Pareto charge per 1M tokens?

Across catalog and ranked rows, blended 1M-token prices range from $2.00 to $5.00 in the latest snapshot (2026-11-02). Check individual model pages for prompt vs completion splits.

How many Pareto models are ranked vs catalog-only?

2 of 3 catalog models appear on Global rankings; the remaining 1 are listed under catalog-only on this page.

Can I compare Pareto models?

Yes—use the compare link on this page or open /en/compare/?m=Pareto%2026.10&m=Pareto%20Latest to side-by-side context, price, and composite score for the top ranked models.

How is the Global rankings score calculated?

Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/

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