MTEB(eng, v2)activeEmbedding

MTEB(eng, v2): MTEB English v2

Metric: Mean (Task) (higher is better)Introduced: 2025

English text-embedding benchmark from the Massive Text Embedding Benchmark project. Covers 41 tasks across retrieval, reranking, classification, clustering, pair classification, semantic similarity and summarization, chosen to limit overlap with common fine-tuning data. The score is the mean of per-task main scores. Higher is better.

Models ranked

11

tracked in MTEB(eng, v2)

Score band

75.2 – 62.8

best → lowest tracked

Snapshot trend

—

MTEB(eng, v2) · need ≥2 snapshots

Published snapshot

MTEB(eng, v2) · observed Oct 17, 2026 · 11 model variants.

Compare candidates
#Model variant and provenanceScore
1
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: Alibaba Qwen (model card; MTEB leaderboard snapshot)Observed: Oct 17, 2026Confidence: self-reportedSource

Notes: MTEB(eng, v2) Mean (Task) 75.22 as published on the Qwen3-Embedding model card (standing rule: the model's own card wins). The leaderboard aggregation of embeddings-benchmark/results @ 4bb41dd gives 75.23 on 2026-10-17 (rounding only). Source: Qwen3-Embedding card; MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17.

75.22
2
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 73.30 over 41 tasks; Mean (TaskType) 67.67. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17.

73.30
3
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: Alibaba Qwen (model card; MTEB leaderboard snapshot)Observed: Oct 17, 2026Confidence: self-reportedSource

Notes: MTEB(eng, v2) Mean (Task) 70.70 as published on the Qwen3-Embedding model card (standing rule: the model's own card wins). The leaderboard aggregation of embeddings-benchmark/results @ 4bb41dd gives 70.47 on 2026-10-17; the difference is larger than rounding, likely re-run results added to the repo after the card was written. Source: Qwen3-Embedding card; MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17.

70.70
4
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 69.53 over 41 tasks; Mean (TaskType) 64.82. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17.

69.53
5
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 66.21 over 41 tasks; Mean (TaskType) 61.77. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

66.21
6
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 66.01 over 41 tasks; Mean (TaskType) 61.43. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

66.01
7
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 65.89 over 41 tasks; Mean (TaskType) 61.87. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

65.89
8
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 65.14 over 41 tasks; Mean (TaskType) 60.77. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

65.14
9
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 64.59 over 41 tasks; Mean (TaskType) 60.57. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

64.59
10
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 64.30 over 41 tasks; Mean (TaskType) 59.93. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

64.30
11
Version: MTEB(eng, v2)Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasksEvaluator: MTEB (embeddings-benchmark/results)Observed: Oct 17, 2026Confidence: confirmedSource

Notes: MTEB(eng, v2) Mean (Task) 62.75 over 41 tasks; Mean (TaskType) 58.49. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.

62.75

Attribution. Source: MTEB (embeddings-benchmark/results, CC0)

Multilingual edition: Enevoldsen et al., MMTEB (arXiv:2502.13595).

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

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Last reviewed: Oct 17, 2026