E5 R Mistral 7B measured on 3 of 261 Embeddings benchmarks3
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
58.6BEIR
Jun 2024released
4,096Dimensions
33K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+7%—$0.01Languages: not verified+1
OpenNV Embed v2unstated+8%——Memory (4-bit): 4.3 GB → 4.7 GB
BetterBge En IclunstatedOpen+6%—$0.01Languages: not verifiedBetterQwen 3 Embedding 4BunstatedOpen+5%—$0.02Languages: not verifiedVBetterVoyage 3 M Expunstated+16%——Max input: 33K tokens → 32K tokens+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+7%—$0.01Languages: not verified+1Bge En IclunstatedOpen+6%—$0.01Languages: not verifiedQwen 3 Embedding 4BunstatedOpen+5%—$0.02Languages: not verifiedVVoyage 3 M Expunstated+16%——Max input: 33K tokens → 32K tokens+1TConan Embedding v2unstated+13%——Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · 8-bit✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
Benchmarks
in Embeddings & RetrievalBEIR · Retrieval · English58.6#18
FAQ
How much does E5 R Mistral 7B cost?›
There is no per-unit API price: price not verified.
How good is E5 R Mistral 7B, and what is it best at?›
#18 of 194 in Embeddings.
Is E5 R Mistral 7B better than Gte Qwen2 7B Instruct?›
On BEIR · Mean over tasks · English, E5 R Mistral 7B scores 58.6 vs 58.9 — about the same.
When was E5 R Mistral 7B released? Is there a newer version?›
Released 2024-06-28. It is the current version in its line.
Is E5 R Mistral 7B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run E5 R Mistral 7B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is E5 R Mistral 7B?›
E5 R Mistral 7B is an open-weights embeddings & retrieval model from BeastyZ, released Jun 2024.
What are the best alternatives to E5 R Mistral 7B?›
Qwen 3 Embedding 8B (better), NV Embed v2 (open weights).