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Multimodal Retrieval on MMEB

788.1Classification ScoreUniME-V2
-8.852198.049404.95611.851Sep 29, 2025Nov 3, 2025Dec 8, 2025Jan 12, 2026Feb 16, 2026Mar 23, 2026Apr 28, 2026

Evaluation results

MethodLinks
UniME-V2Backbone (Model Size)=LLaVA-OV (8.0B)2026.02788.1906.9—————7,3717,371
VLM2VecBackbone (Model Size)=LLaVA-1.6 (8.4B)2026.02278.9332.3—————2,9282,928
LLaVEBackbone (Model Size)=Aquila-VL (2.0B)2026.02143162.8—————3,6993,699
VLM2VecBackbone (Model Size)=Phi3.5-V (4.2B)2026.0285.999.4—————757757
FreeRetMLLM=Qwen2.5-VL-7B, rn=r502025.0969.47069.978.2——70.7——
UNITEBackbone=Qwen2-VL, #Params=7B2026.0268.365.171.684.873.666.370.3——
CREMBackbone=Qwen2-VL, #Params=7B2026.0268.369.472.986.175.667.872.1——
UNITEMLLM=Qwen2-VL-7B, Train Data (M)=7.9, Embedding-only=true2025.0968.365.171.684.8——70.3——
FreeRetMLLM=Qwen2.5-VL-7B, rn=r52025.0968.364.663.169.9——65.7——
mmE5Backbone=Llama-3.2-Vision, #Params=11B2026.0267.662.870.989.772.366.769.8——
mmE5MLLM=Llama-3.2-11B-Vision, Train Data (M)=1.2, Embedding-only=true2025.0967.662.67189.6——69.8——
SSA-MEEvaluation Protocol=Trained on MMEB, Model Scale=>= 7B, Backbone=Qwen2VL-7B2026.0467.461.572.481.373.563.369——
FreeRetMLLM=Qwen2.5-VL-7B, rn=r102025.0967.267.666.374.3——67.8——
UniMEBackbone=LLaVA-OV, Model Size=8.0B, Training Protocol=Trained with MMEB2026.0266.866.670.590.974.665.870.7——
QQMMBackbone=LLaVA-OV, Model Size=8.0B, Training Protocol=Trained with MMEB2026.0266.866.870.590.474.765.670.7——
UniMEBackbone=LLaVA-OV, #Params=7B2026.0266.866.670.590.9——70.7——
UniMEMLLM=LLaVA-OV-7B, Train Data (M)=0.9, Embedding-only=true2025.0966.866.670.690.9——70.7——
IDMRMLLM=InternVL2.5-26B, Train Data (M)=1.2, Embedding-only=true2025.0966.361.971.188.6——69.2——
CREMBackbone=Qwen2-VL, #Params=2B2026.0265.860.768.378.970.861.566.7——
LLaVEBackbone=LLaVA-OV, Model Size=8.0B, Training Protocol=Trained with MMEB2026.0265.765.470.991.97564.470.3——
SSA-MEEvaluation Protocol=Trained on MMEB, Model Scale=<= 2B, Backbone=Qwen2VL-2B2026.0465.758.268.977.570.959.866——
LLaVEMLLM=LLaVA-OV-7B, Train Data (M)=0.7, Embedding-only=true2025.0965.765.470.991.9——70.3——
UniME-V2Backbone=LLaVA-OV, Model Size=8.0B, Training Protocol=Trained with MMEB2026.0265.367.672.990.274.866.771.2——
CAFeBackbone=LLaVA-OV, #Params=7B2026.0265.265.67091.275.862.469.8——
CAFeMLLM=LLaVA-OV-7B, Train Data (M)=0.9, Embedding-only=true2025.0965.265.67091.2——69.8——
Magic-MM-Embedding (E)Backbone=InternVL3-VTC, Model Size=8.1B, Training Protocol=Trained with MMEB, Retrieval Mode=Single-stage (E)2026.0264.868.17588.778.363.671.8——
Magic-MM-Embedding (E+R)Backbone=InternVL3-VTC, Model Size=8.1B, Training Protocol=Trained with MMEB, Retrieval Mode=Two-stage (E+R)2026.0264.370.975.790.478.465.972.8——
UniME-V2 (E+R)Backbone=Qwen2VL, Model Size=2.2B, Training Protocol=Trained with MMEB, Retrieval Mode=Two-stage (E+R)2026.0264.164.371.670.669.864.367.4——
UniME-V2 (E)Backbone=Qwen2VL, Model Size=8.3B, Training Protocol=Trained with MMEB, Retrieval Mode=Single-stage (E)2026.026460.173.182.8726368——
UniME-V2 (E+R)Backbone=Qwen2VL, Model Size=8.3B, Training Protocol=Trained with MMEB, Retrieval Mode=Two-stage (E+R)2026.0263.866.373.57571.765.669——
UNITEBackbone=Qwen2-VL, #Params=2B2026.0263.255.965.475.665.860.163.3——
UNITEinstructEvaluation Protocol=Trained on MMEB, Model Scale=<= 2B2026.0463.255.965.475.665.860.163.3——
VLM2Vec-V2Backbone=Qwen2-VL, #Params=2B2026.0262.956.369.577.368.760.164.9——
VLM2Vec-V1Backbone=Qwen2VL, Model Size=8.3B, Training Protocol=Trained with MMEB2026.0262.657.869.981.765.256.365.8——
VLM2VecBackbone=Qwen2-VL, #Params=7B2026.0262.657.869.981.772.257.865.8——
VLM2Vec (Qwen2VL-7B)Evaluation Protocol=Trained on MMEB, Model Scale=>= 7B, Backbone=Qwen2VL-7B2026.0462.657.869.981.772.257.865.8——
LLaVEBackbone=Aquila-VL, Model Size=2.0B, Training Protocol=Trained with MMEB2026.0262.160.265.284.969.459.865.2——
UniME-V2 (E)Backbone=Qwen2VL, Model Size=2.2B, Training Protocol=Trained with MMEB, Retrieval Mode=Single-stage (E)2026.0262.156.36872.767.458.963.6——
LLaVEBackbone=Aquila-VL, #Params=2B2026.0262.160.265.284.969.459.865.2——
LLaVE (Aquila-VL-2B)Evaluation Protocol=Trained on MMEB, Model Scale=<= 2B, Backbone=Aquila-VL-2B2026.0462.160.265.284.969.459.865.2——
LamRABackbone (Model Size)=Qwen2.5VL (8.3B)2026.0261.683.4—————362.8256
Magic-MM-Embedding (E+R)Backbone=InternVL3-VTC, Model Size=1.9B, Training Protocol=Trained with MMEB, Retrieval Mode=Two-stage (E+R)2026.0261.367.273.589.875.263.970.2——
VLM2Vec (LLaVA-1.6-7B)Evaluation Protocol=Trained on MMEB, Model Scale=>= 7B, Backbone=LLaVA-1.6-7B2026.0461.249.967.486.167.557.162.9——
VLM2VecMLLM=LLaVA-1.6-7B, Train Data (M)=0.7, Embedding-only=true2025.0961.249.967.486.1——62.9——
Magic-MM-Embedding (E)Backbone=InternVL3-VTC, Model Size=1.9B, Training Protocol=Trained with MMEB, Retrieval Mode=Single-stage (E)2026.0260.963.372.284.674.759.568——
UniME (LLaVA-1.6-7B)Evaluation Protocol=Trained on MMEB, Model Scale=>= 7B, Backbone=LLaVA-1.6-7B2026.0460.652.967.985.168.457.966.6——
FreeRet-embedMLLM=Qwen2.5-VL-7B, Embedding-only=true2025.0959.752.849.254.7——53.7——
CAFeBackbone=LLaVA-OV, #Params=1B2026.0259.149.1618364.353.759.6——
VLM2Vec-V1Backbone=Qwen2VL, Model Size=2.2B, Training Protocol=Trained with MMEB2026.025949.465.473.46652.659.3——
VLM2VecBackbone=Qwen2-VL, #Params=2B2026.025949.465.473.46652.659.3——
VLM2Vec (Qwen2VL-2B)Evaluation Protocol=Trained on MMEB, Model Scale=<= 2B, Backbone=Qwen2VL-2B2026.045949.465.473.46652.660.1——
FreeRet-embedMLLM=Qwen2-VL-7B, Embedding-only=true2025.095950.252.360.1——54.5——
GMEMLLM=Qwen2-VL-7B, Train Data (M)=8.0, Embedding-only=true2025.0957.734.771.259.3——56——
GMEBackbone (Model Size)=Qwen2VL (8.3B)2026.0256.782.2—————362.8256
EVA-CLIPBackbone=N/A, Model Size=8.1B, Training Protocol=Zero-shot2026.025610.449.258.938.145.643.7——
OpenCLIPBackbone=-, #Params=0.4B2026.025621.955.464.150.543.147.2——
MMRetBackbone=LLaVA-1.6, #Params=7B2026.025657.469.983.66859.165.8——
OpenCLIPEvaluation Protocol=Trained on MMEB, Model Scale=<= 2B2026.045621.955.464.150.543.147.2——
MMRet (LLaVA-Next-7B)Evaluation Protocol=Trained on MMEB, Model Scale=>= 7B, Backbone=LLaVA-Next-7B2026.045659.469.983.66859.164.1——
MMRetMLLM=LLaVA-1.6-7B, Train Data (M)=26.9, Embedding-only=true2025.095657.469.983.6——64.1——
InternVL3Backbone (Model Size)=InternVL3 (8.1B)2026.0255.976.7—————398.4256
LamRAMLLM=Qwen2.5-VL-7B, Train Data (M)=1.4 + 1.1‡, rn=r102025.0955.940.466.155.6——55——
CLIPBackbone=-, #Params=0.4B2026.0255.219.753.262.247.642.845.4——
CLIPEvaluation Protocol=Trained on MMEB, Model Scale=<= 2B2026.0455.219.753.262.247.642.845.4——
UniMEBackbone=Phi3.5-V, Model Size=4.2B, Training Protocol=Trained with MMEB2026.0254.855.964.581.868.252.764.2——
VLM2Vec (Phi-3.5-V)Evaluation Protocol=Trained on MMEB, Model Scale=<= 2B, Backbone=Phi-3.5-V2026.0454.854.962.379.566.55260.1——
UniME (Phi-3.5-V)Evaluation Protocol=Trained on MMEB, Model Scale=<= 2B, Backbone=Phi-3.5-V2026.0454.855.964.581.868.252.764.2——
GMEBackbone=Qwen2-VL, #Params=2B2026.0254.429.966.955.5——51.9——
FreeRet-embedMLLM=LLaVA-OV-7B, Embedding-only=true2025.095347.445.753.6——49.1——
LamRA-RetMLLM=Qwen2.5-VL-7B, Train Data (M)=1.4, Embedding-only=true2025.0951.734.166.956.7——52.4——
MM-EmbedMLLM=LLaVA-Next-7B, Train Data (M)=1.1, Embedding-only=true2025.0948.132.363.857.8——50——
OpenCLIPEvaluation Protocol=Zero-shot2026.0447.810.952.353.339.340.239.7——
MMRetMLLM=LLaVA-1.6-7B, Train Data (M)=26.2, Embedding-only=true2025.0947.218.456.562.2——44——
MM-EmbedMLLM=LLaVA-Next-7B, Train Data (M)=1.1 + 0‡, rn=r102025.0946.560.857.852.3——54.9——
UniIR (CLIP_SF)Evaluation Protocol=Zero-shot2026.0444.316.261.865.347.141.744.7——
UniMEMLLM=LLaVA-1.6-7B, Train Data (M)=0.3, Embedding-only=true2025.094317.742.563.2——41.6——
CLIPBackbone=N/A, Model Size=0.4B, Training Protocol=Zero-shot2026.0242.89.15351.837.138.737.8——
CLIPEvaluation Protocol=Zero-shot2026.0442.89.15351.837.138.737.8——
UniIR (BLIP_FF)Evaluation Protocol=Zero-shot2026.0442.11560.162.244.740.442.8——
E5-VMLLM=Qwen2.5-VL-7B, Note=reproduction of training-free version, Embedding-only=true2025.0941.237.237.948.4——39.8——
Magic-MM-EmbeddingBackbone (Model Size)=InternVL3-VTC (8.1B)2026.0240.650.9—————99.664
SigLIPBackbone=N/A, Model Size=0.9B, Training Protocol=Zero-shot2026.0240.38.431.659.532.33834.8——
SigLIPEvaluation Protocol=Zero-shot2026.0440.38.431.659.532.33834.8——
E5-VBackbone=LLaVA-1.6, Model Size=8.4B, Training Protocol=Zero-shot2026.0239.710.839.460.234.233.437.5——
E5-VBackbone=LLaVA-1.6, #Params=7B2026.0239.710.839.460.234.233.933.9——
E5-VEvaluation Protocol=Trained on MMEB, Model Scale=>= 7B2026.0439.710.839.460.234.233.433.9——
E5-VBackbone=Phi3.5-V, Model Size=4.2B, Training Protocol=Zero-shot2026.0239.19.63857.633.131.936.1——
MagicLensBackbone=N/A, Model Size=0.4B, Training Protocol=Zero-shot2026.0238.88.335.4263123.727.8——
MagiclensEvaluation Protocol=Zero-shot2026.0438.88.335.4263123.727.8——
GMEBackbone (Model Size)=Qwen2VL (2.2B)2026.0234.546.8—————362.8256
InternVL3Backbone (Model Size)=InternVL3 (1.9B)2026.0229.237.1—————398.4256
BLIP2Evaluation Protocol=Zero-shot2026.04274.233.94725.325.125.2——
Magic-MM-EmbeddingBackbone (Model Size)=InternVL3-VTC (1.9B)2026.0226.129.9—————99.664
E5-VEvaluation Protocol=Zero-shot2026.0421.84.911.51914.911.513.3——
UniME-V2MLLM=Qwen2.5-VL-7B, Train Data (M)=0.6 + 0.6‡, rn=r52025.09——————69.6——