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multimodal benchmark

MIEB English Multimodal Leaderboard

MIEB English Multimodal is a multimodal benchmark listed on the current MIEB(eng) leaderboard.

Updated Sep 8, 2026

Models84
Model coverage84
MetricOfficial leaderboard task-type mean
EvidenceA

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MIEB English Multimodal Ranking

Higher official leaderboard task-type mean ranks better on this benchmark.

30 of 84 rows
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Rank
Model
Official leaderboard task-type mean
Percentile
Participants
Evidence
Evaluated
Rank01ModelDUArgus-Colqwen3.5-9b-v0Datascience UibkOfficial leaderboard task-type mean92.67%Percentile100.00%Participants84EvidenceAEvaluatedN/A
Rank02ModelNVnemotron-colembed-vl-8b-v2NVIDIAOfficial leaderboard task-type mean92.65%Percentile98.80%Participants84EvidenceAEvaluatedN/A
Rank03ModelDUArgus-Colqwen3.5-9b-v0-bf16Datascience UibkOfficial leaderboard task-type mean92.59%Percentile97.59%Participants84EvidenceAEvaluatedN/A
Rank04ModelDUArgus-Colqwen3.5-4b-v0Datascience UibkOfficial leaderboard task-type mean92.30%Percentile96.39%Participants84EvidenceAEvaluatedN/A
Rank05ModelVUVultronRetrieverCore-Qwen3.5-4.5BVultrOfficial leaderboard task-type mean92.21%Percentile95.18%Participants84EvidenceAEvaluatedN/A
Rank06ModelDUArgus-Colqwen3.5-4b-v0-bf16Datascience UibkOfficial leaderboard task-type mean92.14%Percentile93.98%Participants84EvidenceAEvaluatedN/A
Rank07ModelVUVultronRetrieverPrime-Qwen3.5-8BVultrOfficial leaderboard task-type mean92.08%Percentile92.77%Participants84EvidenceAEvaluatedN/A
Rank08ModelNVllama-nemotron-colembed-vl-3b-v2NVIDIAOfficial leaderboard task-type mean91.74%Percentile91.57%Participants84EvidenceAEvaluatedN/A
Rank09ModelNVnemotron-colembed-vl-4b-v2NVIDIAOfficial leaderboard task-type mean91.62%Percentile90.36%Participants84EvidenceAEvaluatedN/A
Rank10ModelAScolqwen3.5-4.5B-v3Athrael SojuOfficial leaderboard task-type mean91.54%Percentile89.16%Participants84EvidenceAEvaluatedN/A
Rank11ModelDUArgus-Colqwen3.5-2b-v0Datascience UibkOfficial leaderboard task-type mean91.49%Percentile87.95%Participants84EvidenceAEvaluatedN/A
Rank12ModelDUArgus-Colqwen3.5-2b-v0-bf16Datascience UibkOfficial leaderboard task-type mean91.49%Percentile86.75%Participants84EvidenceAEvaluatedN/A
Rank13ModelOAOps-Colqwen3-4BOpensearch AiOfficial leaderboard task-type mean91.36%Percentile85.54%Participants84EvidenceAEvaluatedN/A
Rank14ModelWOwebAI-ColVec1-9bWebai OfficialOfficial leaderboard task-type mean91.30%Percentile84.34%Participants84EvidenceAEvaluatedN/A
Rank15ModelVASauerkrautLM-ColQwen3-8b-v0.1VagosolutionsOfficial leaderboard task-type mean91.08%Percentile83.13%Participants84EvidenceAEvaluatedN/A
Rank16ModelNVllama-nemoretriever-colembed-3b-v1NVIDIAOfficial leaderboard task-type mean91.00%Percentile81.93%Participants84EvidenceAEvaluatedN/A
Rank17ModelVASauerkrautLM-ColQwen3-4b-v0.1VagosolutionsOfficial leaderboard task-type mean90.80%Percentile80.72%Participants84EvidenceAEvaluatedN/A
Rank18ModelTOtomoro-colqwen3-embed-8bTomoroaiOfficial leaderboard task-type mean90.76%Percentile79.52%Participants84EvidenceAEvaluatedN/A
Rank19ModelAPEvoQwen2.5-VL-Retriever-7B-v1ApsarastackmaasOfficial leaderboard task-type mean90.68%Percentile78.31%Participants84EvidenceAEvaluatedN/A
Rank20ModelAPEvoQwen2.5-VL-Retriever-3B-v1ApsarastackmaasOfficial leaderboard task-type mean90.67%Percentile77.11%Participants84EvidenceAEvaluatedN/A
Rank21ModelTOtomoro-colqwen3-embed-4bTomoroaiOfficial leaderboard task-type mean90.57%Percentile75.90%Participants84EvidenceAEvaluatedN/A
Rank22ModelNVllama-nemoretriever-colembed-1b-v1NVIDIAOfficial leaderboard task-type mean90.50%Percentile74.70%Participants84EvidenceAEvaluatedN/A
Rank23ModelWOwebAI-ColVec1-4bWebai OfficialOfficial leaderboard task-type mean90.49%Percentile73.49%Participants84EvidenceAEvaluatedN/A
Rank24ModelJIjina-embeddings-v4JinaaiOfficial leaderboard task-type mean90.35%Percentile72.29%Participants84EvidenceAEvaluatedN/A
Rank25ModelVASauerkrautLM-ColQwen3-2b-v0.1VagosolutionsOfficial leaderboard task-type mean90.24%Percentile71.08%Participants84EvidenceAEvaluatedN/A
Rank26ModelNAcolnomic-embed-multimodal-3bNomic AiOfficial leaderboard task-type mean89.86%Percentile69.88%Participants84EvidenceAEvaluatedN/A
Rank27ModelNAcolnomic-embed-multimodal-7bNomic AiOfficial leaderboard task-type mean89.72%Percentile68.67%Participants84EvidenceAEvaluatedN/A
Rank28ModelVIcolqwen2.5-v0.2VidoreOfficial leaderboard task-type mean89.54%Percentile67.47%Participants84EvidenceAEvaluatedN/A
Rank29ModelVIcolqwen2-v1.0VidoreOfficial leaderboard task-type mean89.23%Percentile66.27%Participants84EvidenceAEvaluatedN/A
Rank30ModelVASauerkrautLM-ColQwen3-1.7b-Turbo-v0.1VagosolutionsOfficial leaderboard task-type mean88.89%Percentile65.06%Participants84EvidenceAEvaluatedN/A

MIEB English Multimodal Highlights

The leading models and scores on this benchmark.

MIEB English Multimodal Score Distribution

A closer view of the leading scores on this benchmark.

MIEB English Multimodal

The Top AI Models for MIEB English Multimodal

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is MIEB English Multimodal?

What MIEB English Multimodal measures and how its scores work.

MIEB English Multimodal is a multimodal benchmark.

It reports the Official leaderboard task-type mean as a ratio.

Scores are shown in ratio. This benchmark is verified and has an evidence level of A.

Family
MIEB English
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

MTEB. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MIEB English Multimodal.

Which model scores highest on MIEB English Multimodal?

Argus-Colqwen3.5-9b-v0 is currently ranked first with 92.67%.

What are the top three models on MIEB English Multimodal?

The current leaders are Argus-Colqwen3.5-9b-v0 (92.67%), nemotron-colembed-vl-8b-v2 (92.65%), and Argus-Colqwen3.5-9b-v0-bf16 (92.59%).

Which MIEB English Multimodal model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MIEB English Multimodal results?

No matched runtime record is currently available.

Does the highest official leaderboard task-type mean result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does MIEB English Multimodal measure?

It reports the Official leaderboard task-type mean as a ratio.

Is a higher official leaderboard task-type mean better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

84 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Argus-Colqwen3.5-9b-v092.67%
Rank #2nemotron-colembed-vl-8b-v292.65%
Rank #3Argus-Colqwen3.5-9b-v0-bf1692.59%
Rank #4Argus-Colqwen3.5-4b-v092.30%

Ranking basisThis mieb english multimodal AI model leaderboard uses descending official leaderboard task-type mean in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    DU
    Argus-Colqwen3.5-9b-v0Datascience Uibk
    Official leaderboard task-type mean
    92.67%

    Strengths

    • Ranks #1 of 84 compared models
    • 100th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Multimodal, not total model capability
  2. 02
    NV
    nemotron-colembed-vl-8b-v2NVIDIA
    Official leaderboard task-type mean
    92.65%

    Strengths

    • Ranks #2 of 84 compared models
    • 99th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Multimodal, not total model capability
  3. 03
    DU
    Datascience Uibk
    Official leaderboard task-type mean
    92.59%

    Strengths

    • Ranks #3 of 84 compared models
    • 98th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Multimodal, not total model capability
  4. 04
    DU
    Datascience Uibk
    Official leaderboard task-type mean
    92.30%

    Strengths

    • Ranks #4 of 84 compared models
    • 96th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Multimodal, not total model capability
  5. 05
    VU
    Vultr
    Official leaderboard task-type mean
    92.21%

    Strengths

    • Ranks #5 of 84 compared models
    • 95th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Multimodal, not total model capability

Selection summary

Best AI Models for MIEB English Multimodal

Argus-Colqwen3.5-9b-v0 currently leads MIEB English Multimodal with 92.67%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Argus-Colqwen3.5-9b-v0-bf16
Argus-Colqwen3.5-4b-v0
VultronRetrieverCore-Qwen3.5-4.5B
Benchmark rank #1Argus-Colqwen3.5-9b-v092.67%
Benchmark rank #2nemotron-colembed-vl-8b-v292.65%
Benchmark rank #3Argus-Colqwen3.5-9b-v0-bf1692.59%