FRIDA measured on 9 of 261 Embeddings benchmarks9
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
66.5MTEB Russian v1.1
Dec 2024released
1K tokensMax input
en, ruLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
aGiga Embeddings InstructunstatedOpen+20%——Memory (4-bit): 0.5 GB → 1.9 GBaGiga Embeddings Instruct 3B 0826unstatedOpen+9%——Memory (4-bit): 0.5 GB → 1.9 GBaGiga Embeddings Instruct 10B A1.8B 0826unstatedOpen+8%——Memory (4-bit): 0.5 GB → 6.3 GBRun it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceMITfree for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does FRIDA cost?›
There is no per-unit API price: price not verified.
How good is FRIDA, and what is it best at?›
#11 of 193 in Embeddings.
Is FRIDA better than Qwen 3 Embedding 4B?›
On MTEB Russian v1.1 · Pair Classification · Russian, FRIDA scores 66.5 vs 66.6 — about the same.
When was FRIDA released? Is there a newer version?›
Released 2024-12-29. It is the current version in its line.
Is FRIDA open source?›
Yes, the weights are open (MIT licence).
Can I run FRIDA locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is FRIDA?›
FRIDA is an open-weights embeddings & retrieval model from ai-forever, released Dec 2024.
What are the best alternatives to FRIDA?›
Qwen 3 Embedding 8B (better), Giga Embeddings Instruct (open weights).