What the vendor claims, next to what independent boards measured. The two are never mixed in one column.
OpenRouter does not list this model, so there is no price or context window here.
Quoted word for word from the vendor's own launch post or model card. Claims, not measurements.
| Benchmark | Claimed | Source |
|---|---|---|
ViDoRe V3 (average)Setting: Embed 5 ProThe source says: On ViDoRe V3, which features documents sampled across key enterprise domains, including financial filings, technical manuals, regulatory material, government reports, textbooks, and lectures, Embed 5 Pro averages 85.8 | 85.8 | Cohere · Sep 30From Drop #010 · Wed, Oct 7 · Evening |
FinanceBenchSetting: Embed 5 ProThe source says: Pro ranks first on three leading public financial benchmarks, with Fast second on each despite being considerably smaller than its peers: FinanceBench (80.1 Pro, 80.0 Fast), FinQA (90.0, 88.8), and ViDoRe V3 Finance (85.0, 83.9). | 80.1 | Cohere · Sep 30From Drop #010 · Wed, Oct 7 · Evening |
Parsed-document suite (average)Setting: Embed 5 ProThe source says: Embed 5 Pro achieves the highest average across the suite at 84.8, ahead of Voyage 4 Large at 83.6, Embed 5 Fast at 83.4, Gemini Embedding 2 at 80.8, and Embed 4 at 78.6. | 84.8 | Cohere · Sep 30From Drop #010 · Wed, Oct 7 · Evening |
Measured by independent sources (Epoch AI, LMArena, OpenRouter's benchmark runs, τ²-bench, Vectara), not by the vendor. "Listed as" is the source's own name for the model, so you can check our match.
No independent results yet. They appear here as Epoch AI and LMArena add this model.
Cohere says Embed 5 supports multimodal input, 100+ languages and a 128K-token context. Pro costs $0.12 per million tokens and Fast $0.08, and both share one embedding space.
Why it matters: Cohere says teams can index with Pro and query with the cheaper Fast without re-indexing, and that int8 vectors keep near-full quality at lower storage cost.
From Drop #010 · Wed, Oct 7 · Evening