KaLM Embedding Gemma3 12B 2511 vs Qwen 3 Embedding 8B
KaLM Embedding Gemma3 12B 251172.3
Qwen 3 Embedding 8B70.6
KaLM Embedding Gemma3 12B 251192.8
Qwen 3 Embedding 8B93
KaLM Embedding Gemma3 12B 251150.7
Qwen 3 Embedding 8B50.4
KaLM Embedding Gemma3 12B 25115.5
Qwen 3 Embedding 8B10.1
KaLM Embedding Gemma3 12B 251125.2
Qwen 3 Embedding 8B23.7
KaLM Embedding Gemma3 12B 251163.1
Qwen 3 Embedding 8B62.6
KaLM Embedding Gemma3 12B 251169.2
Qwen 3 Embedding 8B79.2
KaLM Embedding Gemma3 12B 251152.9
Qwen 3 Embedding 8B55.7
KaLM Embedding Gemma3 12B 251182.5
Qwen 3 Embedding 8B86.6
KaLM Embedding Gemma3 12B 251187.6
Qwen 3 Embedding 8B86.8
KaLM Embedding Gemma3 12B 251163.4
Qwen 3 Embedding 8B61.6
KaLM Embedding Gemma3 12B 251162.5
Qwen 3 Embedding 8B61.7
KaLM Embedding Gemma3 12B 251183.8
Qwen 3 Embedding 8B80.9
KaLM Embedding Gemma3 12B 251177.9
Qwen 3 Embedding 8B74
KaLM Embedding Gemma3 12B 251155.8
Qwen 3 Embedding 8B57.6
KaLM Embedding Gemma3 12B 25115.5
Qwen 3 Embedding 8B10.1
KaLM Embedding Gemma3 12B 251133
Qwen 3 Embedding 8B28.7
KaLM Embedding Gemma3 12B 251184.7
Qwen 3 Embedding 8B86.4
KaLM Embedding Gemma3 12B 251167.3
Qwen 3 Embedding 8B65.6
KaLM Embedding Gemma3 12B 251175.7
Qwen 3 Embedding 8B70.9
KaLM Embedding Gemma3 12B 251179
Qwen 3 Embedding 8B81.1
KaLM Embedding Gemma3 12B 251131.6
Qwen 3 Embedding 8B22
KaLM Embedding Gemma3 12B 251161.6
Qwen 3 Embedding 8B71.3
KaLM Embedding Gemma3 12B 251182.7
Qwen 3 Embedding 8B84.7
KaLM Embedding Gemma3 12B 251177.7
Qwen 3 Embedding 8B84.4
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B63.6
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B79.9
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B79.9
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B79.9
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B59
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B59
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B54.1
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B63.8
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B73.9
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B75
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B77.1
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B80.1
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B84.2
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B67
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B78.2
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B63.5
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B80.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B80.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B80.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B64.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B69.9
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B61.8
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B74.4
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B93.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B66.5
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B81.6
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B71.8
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B73.3
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B94.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B77.8
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B75.5
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B77.3
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B78.4
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B86.4
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B41.5
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B71.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B87.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B70.8
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B71.4
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B69.2
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B44.6
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B70.4
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B71.5
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B74.8
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B55.2
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B71.2
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B82.5
KaLM Embedding Gemma3 12B 251166.4
Qwen 3 Embedding 8B—
KaLM Embedding Gemma3 12B 251166.8
Qwen 3 Embedding 8B—
KaLM Embedding Gemma3 12B 251163.7
Qwen 3 Embedding 8B—
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B72.7
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B59.5
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B67
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B67.2
KaLM Embedding Gemma3 12B 2511—
Qwen 3 Embedding 8B87.5
| Benchmark | KaLM Embedding Gemma3 12B 2511 | Qwen 3 Embedding 8B |
|---|---|---|
| MTEB multilingual v2 · Mean over tasks · multilingual (1037 languages) | 72.3 | 70.6 |
| FollowIR · Mean over tasks · English | 5.5 | 10.1 |
| FollowIR · Mean over task types · English | 5.5 | 10.1 |
| FollowIR · Instruction Reranking · English | 5.5 | 10.1 |
| MTEB Europe v1 · Bitext Mining · multilingual (28 languages) | 92.8 | 93 |
| MTEB Europe v1 · Clustering · multilingual (29 languages) | 50.7 | 50.4 |
| MTEB Europe v1 · Instruction Reranking · English | 5.5 | 10.1 |
| MTEB Europe v1 · Multilabel Classification · multilingual (23 languages) | 25.2 | 23.7 |
| MTEB Europe v1 · Reranking · multilingual (12 languages) | 63.1 | 62.6 |
| MTEB French v1 · Pair Classification · French | 69.2 | 79.2 |
| MTEB Indic v1 · Clustering · multilingual (21 languages) | 52.9 | 55.7 |
| MTEB Indic v1 · Pair Classification · Hindi | 82.5 | 86.6 |
| MTEB Indic v1 · Reranking · multilingual (2 languages) | 87.6 | 86.8 |
| MTEB Indic v1 · STS · multilingual (13 languages) | 63.4 | 61.6 |
| MTEB multilingual v2 · Mean over task types · multilingual (1037 languages) | 62.5 | 61.7 |
| MTEB multilingual v2 · Bitext Mining · multilingual (1026 languages) | 83.8 | 80.9 |
| MTEB multilingual v2 · Classification · multilingual (119 languages) | 77.9 | 74 |
| MTEB multilingual v2 · Clustering · multilingual (208 languages) | 55.8 | 57.6 |
| MTEB multilingual v2 · Instruction Reranking · English | 5.5 | 10.1 |
| MTEB multilingual v2 · Multilabel Classification · multilingual (25 languages) | 33 | 28.7 |
| MTEB multilingual v2 · Pair Classification · multilingual (24 languages) | 84.7 | 86.4 |
| MTEB multilingual v2 · Reranking · multilingual (22 languages) | 67.3 | 65.6 |
| MTEB multilingual v2 · Retrieval · multilingual (120 languages) | 75.7 | 70.9 |
| MTEB multilingual v2 · STS · multilingual (35 languages) | 79 | 81.1 |
| MTEB Dutch v1 · Reranking · Dutch | 90.5 | 91.2 |
| MTEB Portuguese v1 · Multilabel Classification · Portuguese | 31.6 | 22 |
| MTEB Russian v1.1 · Pair Classification · Russian | 61.6 | 71.3 |
| MTEB Scandinavian v1 · Bitext Mining · multilingual (3 languages) | 82.7 | 84.7 |
| MTEB Spanish v1 · Pair Classification · Spanish | 77.7 | 84.4 |
| MTEB Thai v1 · Classification · Thai | 76.2 | 67.7 |
| MTEB Thai v1 · Clustering · Thai | 57.2 | 58.2 |
| MTEB Thai v1 · Pair Classification · Thai | 85.1 | 88.6 |
| BEIR · Mean over tasks · English | — | 62.8 |
| BEIR · Mean over task types · English | — | 62.8 |
| BEIR · Retrieval · English | — | 62.8 |
| ChemTEB · Bitext Mining · English | — | 0.5 |
| ChemTEB · Clustering · English | — | 50.1 |
| ChemTEB · Pair Classification · multilingual (13 languages) | — | 63.6 |
| ChemTEB · Retrieval · English | — | 74.6 |
| CoIR · Mean over tasks · multilingual (9 languages) | — | 79.9 |
| CoIR · Mean over task types · multilingual (9 languages) | — | 79.9 |
| CoIR · Retrieval · multilingual (9 languages) | — | 79.9 |
| CoREB v1 · Mean over tasks · multilingual (6 languages) | — | 59 |
| CoREB v1 · Mean over task types · multilingual (6 languages) | — | 59 |
| CoREB v1 · Reranking · multilingual (6 languages) | — | 54.1 |
| CoREB v1 · Retrieval · multilingual (6 languages) | — | 63.8 |
| JMTEB v2 · Clustering · Japanese | — | 56.1 |
| JMTEB v2 · STS · Japanese | — | 87.8 |
| MTEB Mandarin Chinese v1 · Mean over tasks · Mandarin Chinese | — | 73.9 |
| MTEB Mandarin Chinese v1 · Mean over task types · Mandarin Chinese | — | 75 |
| MTEB Mandarin Chinese v1 · Classification · Mandarin Chinese | — | 77.1 |
| MTEB Mandarin Chinese v1 · Clustering · Mandarin Chinese | — | 80.1 |
| MTEB Mandarin Chinese v1 · Pair Classification · Mandarin Chinese | — | 84.2 |
| MTEB Mandarin Chinese v1 · Reranking · Mandarin Chinese | — | 67 |
| MTEB Mandarin Chinese v1 · Retrieval · Mandarin Chinese | — | 78.2 |
| MTEB Mandarin Chinese v1 · STS · Mandarin Chinese | — | 63.5 |
| MTEB Code v1 · Mean over tasks · multilingual (15 languages) | — | 80.7 |
| MTEB Code v1 · Mean over task types · multilingual (15 languages) | — | 80.7 |
| MTEB Code v1 · Retrieval · multilingual (15 languages) | — | 80.7 |
| MTEB German v1 · Pair Classification · German | — | 64.7 |
| MTEB German v1 · STS · German | — | 79.6 |
| MTEB Europe v1 · Mean over tasks · multilingual (29 languages) | — | 69.9 |
| MTEB Europe v1 · Mean over task types · multilingual (29 languages) | — | 61.8 |
| MTEB Europe v1 · Classification · multilingual (23 languages) | — | 74.4 |
| MTEB Europe v1 · Pair Classification · multilingual (11 languages) | — | 93.7 |
| MTEB Europe v1 · Retrieval · multilingual (25 languages) | — | 66.5 |
| MTEB Europe v1 · STS · multilingual (8 languages) | — | 81.6 |
| MTEB Persian v2 · Bitext Mining · Persian | — | 62.3 |
| MTEB Persian v2 · Clustering · Persian | — | 68.5 |
| MTEB Persian v2 · STS · Persian | — | 83.3 |
| MTEB French v1 · Reranking · French | — | 89 |
| MTEB French v1 · Retrieval · multilingual (2 languages) | — | 71.8 |
| MTEB French v1 · STS · French | — | 86.8 |
| MTEB French v1 · Summarization · French | — | 30.4 |
| MTEB Indic v1 · Classification · multilingual (8 languages) | — | 73.3 |
| MTEB Indic v1 · Retrieval · multilingual (14 languages) | — | 94.7 |
| MTEB Korean v2 · Mean over tasks · multilingual (2 languages) | — | 77.8 |
| MTEB Korean v2 · Mean over task types · multilingual (2 languages) | — | 75.5 |
| MTEB Korean v2 · Classification · Korean | — | 69.1 |
| MTEB Korean v2 · Clustering · Korean | — | 70.9 |
| MTEB Korean v2 · Pair Classification · Korean | — | 77.3 |
| MTEB Korean v2 · Reranking · Korean | — | 67.4 |
| MTEB Korean v2 · Retrieval · multilingual (2 languages) | — | 78.4 |
| MTEB Korean v2 · STS · Korean | — | 89.8 |
| MTEB Medical v1 · Clustering · English | — | 45.1 |
| MTEB Medical v1 · Reranking · Mandarin Chinese | — | 86.4 |
| MTEB Dutch v1 · Mean over tasks · Dutch | — | 65.6 |
| MTEB Dutch v1 · Mean over task types · Dutch | — | 70.1 |
| MTEB Dutch v1 · Classification · Dutch | — | 73 |
| MTEB Dutch v1 · Clustering · Dutch | — | 49 |
| MTEB Dutch v1 · Multilabel Classification · Dutch | — | 41.5 |
| MTEB Dutch v1 · Pair Classification · Dutch | — | 82.4 |
| MTEB Dutch v1 · Retrieval · Dutch | — | 66.8 |
| MTEB Dutch v1 · STS · Dutch | — | 87 |
| MTEB Polish v1 · Mean over tasks · Polish | — | 73.5 |
| MTEB Polish v1 · Mean over task types · Polish | — | 71.7 |
| MTEB Polish v1 · Classification · Polish | — | 75.6 |
| MTEB Polish v1 · Clustering · Polish | — | 50.5 |
| MTEB Polish v1 · Pair Classification · Polish | — | 87.7 |
| MTEB Polish v1 · STS · Polish | — | 72.8 |
| MTEB Portuguese v1 · Classification · Portuguese | — | 70.8 |
| MTEB Portuguese v1 · STS · Portuguese | — | 86 |
| MTEB Russian v1.1 · Mean over tasks · Russian | — | 71.4 |
| MTEB Russian v1.1 · Mean over task types · Russian | — | 69.2 |
| MTEB Russian v1.1 · Classification · Russian | — | 74.3 |
| MTEB Russian v1.1 · Clustering · Russian | — | 66.7 |
| MTEB Russian v1.1 · Multilabel Classification · Russian | — | 44.6 |
| MTEB Russian v1.1 · Reranking · Russian | — | 70.2 |
| MTEB Russian v1.1 · Retrieval · Russian | — | 78.2 |
| MTEB Russian v1.1 · STS · Russian | — | 79.3 |
| MTEB Scandinavian v1 · Mean over tasks · multilingual (6 languages) | — | 70.4 |
| MTEB Scandinavian v1 · Mean over task types · multilingual (6 languages) | — | 71.5 |
| MTEB Scandinavian v1 · Classification · multilingual (6 languages) | — | 74.8 |
| MTEB Scandinavian v1 · Clustering · multilingual (2 languages) | — | 55.2 |
| MTEB Scandinavian v1 · Retrieval · multilingual (3 languages) | — | 71.2 |
| MTEB Spanish v1 · Classification · Spanish | — | 92.6 |
| MTEB Spanish v1 · STS · multilingual (2 languages) | — | 82.5 |
| MTEB Thai v1 · Mean over tasks · multilingual (2 languages) | 66.4 | — |
| MTEB Thai v1 · Mean over task types · multilingual (2 languages) | 66.8 | — |
| MTEB Thai v1 · Reranking · Thai | 51.7 | — |
| MTEB Thai v1 · Retrieval · multilingual (2 languages) | 63.7 | — |
| RTEB German beta · Mean over tasks · German | — | 66.8 |
| RTEB Finnish beta · Mean over tasks · English | — | 72.7 |
| RTEB French beta · Mean over tasks · multilingual (2 languages) | — | 59.5 |
| RTEB Health beta · Mean over tasks · multilingual (4 languages) | — | 67 |
| RTEB Law beta · Mean over tasks · multilingual (4 languages) | — | 67.2 |
| MTEB English v2 · Summarization · English | — | 34.8 |
| MTEB English v2 · Clustering · English | — | 58.6 |
| MTEB English v2 · Classification · English | — | 90.4 |
| MTEB English v2 · Reranking · English | — | 51.6 |
| MTEB English v2 · STS · English | — | 88.6 |
| MTEB English v2 · Pair Classification · English | — | 87.5 |
| MTEB English v2 · Retrieval · English | — | 69.4 |
Specs
| Spec | KaLM Embedding Gemma3 12B 2511 | Qwen 3 Embedding 8B |
|---|---|---|
| Price | — | !$0.01 |
| Context | 33K | 33K |
| Weights | Open | Open |
| Released | Nov 2025 | Jun 2025 |
| Published speed | — | 3.3 × vLLM H100 (Baseten) |
| Dimensions | 3,840 | 4,096 |
| Max input | 131K tokens | 33K tokens |
| Memory (4-bit) | 7.1 GB | 4.5 GB |
| Licence | tencent-kalm-embedding-community | Apache-2.0 |
| Commercial use | Restricted | Allowed |
What breaks when you switch
KaLM Embedding Gemma3 12B 2511 → Qwen 3 Embedding 8B
Re-embed your whole corpus›
Vectors from different models can't be mixed; dimensions change from 3,840 to 4,096.
Max input: 131K tokens → 33K tokens
Qwen 3 Embedding 8B → KaLM Embedding Gemma3 12B 2511
Re-embed your whole corpus›
Vectors from different models can't be mixed; dimensions change from 4,096 to 3,840.