Evals · read 14 October 2026
Accuracy you can check.
conare-embed-1 and conare-rerank-1 on public benchmarks, ranked against the other models on each. Each benchmark's page shows every model and how it was measured.
ViDoRe v3, embedding
67.0
nDCG@10, higher is better · #1 of 9
- 1conare-embed-167.0
- 2Perplexity pplx-embed-v2-late-9b, page images66.5
- 3Perplexity pplx-embed-v2-late-9b, page text66.1
- 4Mixedbread search, page images64.2
- 5Mixedbread search, page text62.3
See the benchmark
ViDoRe v3, reranking
70.2
nDCG@10, higher is better · #1 of 10
- 1conare-rerank-170.2
- 2Voyage rerank-2.568.5
- 3Voyage rerank-2.5-lite67.4
- 4zerank-267.0
- 5zerank-166.7
See the benchmark
Legal case search
1.3%
% ranked wrong, lower is better · #1 of 6
- 1conare-rerank-11.3%
- 2Claude Opus 5.52.5%
- 3GPT-6 Sol7.6%
- 4Mixedbread mxbai-rerank-v3.111.4%
- 5Contextual rerank-v253.2%
See the benchmark
Several conditions at once
2.5%
% ranked wrong, lower is better · #2 of 6, level with Claude Opus 5.5
- 1Claude Opus 5.51.1%
- 2conare-rerank-12.5%
- 3GPT-6 Sol3.8%
- 4Mixedbread mxbai-rerank-v3.116.7%
- 5Contextual rerank-v250.0%
See the benchmark
Accuracy and price
Most accurate, and the cheapest.
ViDoRe v3, embedding against each model's list price per 1M tokens.
Benchmarks
- ViDoRe v3, embedding Search over 19,252 business document pages with 2,419 questions in English and French.67.0conare-embed-1 · nDCG@10 · #1 of 9
- ViDoRe v3, six languages The same pages, with 14,514 questions asked in English, French, German, Italian, Portuguese and Spanish.65.4conare-embed-1 · nDCG@10 · #1 of 7
- ViDoRe v3, reranking Each reranker reorders the same 150 candidate pages for each of the 2,419 questions.70.2conare-rerank-1 · nDCG@10 · #1 of 10
- LMEB, memory retrieval Finding the right moment in long conversations and personal records. The 13 tasks whose data allows commercial use.75.0conare-embed-1 · nDCG@10 · #1 of 106
- Legal case search Find the court case that matches all 10 listed facts among near-identical copies that each get one fact wrong. 79 searches.1.3%conare-rerank-1 · % ranked wrong · #1 of 6
- Several conditions at once Find the one document that meets every listed condition among near-copies that each break one. 474 searches over books, legal cases, medical records, movies and people.2.5%conare-rerank-1 · % ranked wrong · #2 of 6, level with Claude Opus 5.5
Where we're not first
Another model leads these. The leader's score and Conare's come from the same searches.
| Benchmark | Leader | Leader | conare |
|---|---|---|---|
| Several conditions at once% ranked wrong, lower is better · #2 of 6, level with Claude Opus 5.5 | Claude Opus 5.5 | 1.1% | 2.5% |
Methodology
conare-embed-1 and conare-rerank-1 are the models Conare serves. Each score is our run of the benchmark's official data and answer key; LMEB is scored as its leaderboard scores it, beside the scores the leaderboard publishes for every other model, and is not a leaderboard submission.
Comparator scores are what each vendor, leaderboard or benchmark release published, or our run of open weights where marked. No competitor's search, embedding or reranking service was called. Where per-question results exist, gaps carry a 95% interval from a paired bootstrap over questions (10,000 draws). Some benchmarks were used to choose between candidate models during development; each one says so on its page. Nothing here is averaged across benchmarks.
On the two conditions benchmarks, the LLMs were given each document's first 2,000 characters, so only the searches whose deciding fact falls inside them are counted, for every model. Prices are list prices per 1M tokens, read on 13 October 2026; Conare's is its rate card of 15 October 2026.
See it on your own data.
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