← All benchmarks
MIEB lite, mean (task type)
We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.
Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
- ModelScoreYour cost / mo
- 1EmbeddingGemma 2 · Google64.64 score
“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.
How each maker reported it
- EmbeddingGemma 2 model card (768-dim, full-precision checkpoint)
Google's own numbers. MTEB English v2 (768d): 68.46. MRL truncation keeps quality close to lossless down to 256 dims; 128 dims degrades multimodal quality substantially (e.g. MMEB v2 overall 59.01 at 768d vs 45.65 at 128d).
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.