AA-Image-Editing v2.1Artificial Analysis
Ranks image models on editing an image from a text instruction, by Elo from pairwise human preference votes.
8 models added in the last 30 days
Qwen-Image-2.1-Pro, Qwen-Image-2.1-Turbo, Nano Banana 2.1, and 5 more
Range | Model | Elo | Samples | Released | API Pricing 1 | |
|---|---|---|---|---|---|---|
| 1 | 1 | GPT Image 2.5 Sunburst (max) | 1199±1195% interval 1188 to 1210 | 18,059 | Sep 2026 | $210.7 /1k imgs |
| 2 | 2 | GPT Image 2.5 Flare (max) | 1181±1195% interval 1170 to 1192 | 18,954 | Sep 2026 | $210.7 /1k imgs |
| 3 | 3-5 | Nano Banana 2.1 | 1152±1395% interval 1139 to 1165 | 6,684 | Oct 2026 | $33.6 /1k imgs |
| 4 | 3-5 | MAI-Image-2.6 | 1151±1295% interval 1139 to 1163 | 16,468 | Aug 2026 | $38.9 /1k imgs |
| 5 | 3-7 | MAI-Image-2.6-Flash | 1143±1395% interval 1130 to 1156 | 10,579 | Sep 2026 | $19.5 /1k imgs |
| 6 | 5-9 | GPT Image 2 (high) | 1136±1395% interval 1123 to 1149 | 14,367 | Apr 2026 | $211.0 /1k imgs |
| 7 | 5-11 | Seedream 5.0 Pro | 1132±1395% interval 1119 to 1145 | 13,183 | Jul 2026 | $90.0 /1k imgs |
| 8 | 6-11 | Muse Image | 1129±1295% interval 1117 to 1141 | 13,159 | Jul 2026 | $10.0 /1k imgs |
| 9 | 6-12 | MAI-Image-2.5 | 1128±1395% interval 1115 to 1141 | 13,347 | Jun 2026 | $48.1 /1k imgs |
| 10 | 7-13 | Nano Banana 2 (Gemini 3.1 Flash Image) | 1124±1295% interval 1112 to 1136 | 16,454 | Feb 2026 | $67.0 /1k imgs |
| 11 | 8-13 | MAI-Image-2.5-Pro | 1122±1295% interval 1110 to 1134 | 15,452 | Jul 2026 | $108.5 /1k imgs |
| 12 | 9-13 | GPT Image 1.5 (high) | 1119±1395% interval 1106 to 1132 | 13,319 | Dec 2025 | $133.0 /1k imgs |
| 13 | 9-14 | Grok Imagine Image 2.0 | 1117±1395% interval 1104 to 1130 | 8,490 | Aug 2026 | $60.0 /1k imgs |
| 14 | 13-15 | Nano Banana Pro (Gemini 3 Pro Image) | 1106±1295% interval 1094 to 1118 | 15,358 | Nov 2025 | $134.0 /1k imgs |
| 15 | 14-18 | grok-imagine-image-quality | 1095±1395% interval 1082 to 1108 | 8,596 | May 2026 | $50.0 /1k imgs |
| 16 | 15-19 | HunyuanImage 3.5 (Preview) | 1093±1495% interval 1079 to 1107 | 6,209 | Sep 2026 | $24.0 /1k imgs |
| 17 | 15-19 | MAI-Image-2.5-Flash | 1093±1395% interval 1080 to 1106 | 13,181 | Jun 2026 | $20.0 /1k imgs |
| 18 | 15-20 | Qwen-Image-3.0-Pro | 1090±1395% interval 1077 to 1103 | 13,313 | Jul 2026 | $40.0 /1k imgs |
| 19 | 16-22 | 1083±1395% interval 1070 to 1096 | 6,240 | Sep 2026 | No API available | |
| 20 | 18-23 | Luma UNI 1 Max | 1079±1395% interval 1066 to 1092 | 6,299 | May 2026 | $100.0 /1k imgs |
| 21 | 19-26 | grok-imagine-image | 1073±1395% interval 1060 to 1086 | 5,906 | Jan 2026 | $20.0 /1k imgs |
| 22 | 20-27 | Qwen-Image-2.1-Pro | 1069±1495% interval 1055 to 1083 | 5,172 | Oct 2026 | $35.3 /1k imgs |
| 23 | 21-28 | Qwen-Image-3.0 | 1067±1395% interval 1054 to 1080 | 7,879 | Jul 2026 | $30.0 /1k imgs |
| 24 | 20-29 | Ideogram 4.5 (High) | 1067±1695% interval 1051 to 1083 | 3,133 | Sep 2026 | $220.0 /1k imgs |
| 25 | 21-29 | 1064±1395% interval 1051 to 1077 | 5,920 | Jan 2026 | No API available | |
| 26 | 21-29 | Qwen-Image-2.1-Turbo | 1063±1495% interval 1049 to 1077 | 4,854 | Oct 2026 | $16.0 /1k imgs |
| 27 | 22-30 | Seedream 5.0 Lite | 1061±1395% interval 1048 to 1074 | 6,285 | Feb 2026 | $35.0 /1k imgs |
| 28 | 22-33 | Qwen Image 2.0 Pro (2026-04-22) | 1058±1795% interval 1041 to 1075 | 2,706 | Apr 2026 | $75.0 /1k imgs |
| 29 | 25-33 | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | 1054±1395% interval 1041 to 1067 | 7,896 | Jun 2026 | $33.6 /1k imgs |
| 30 | 27-35 | Wan 2.7 Pro | 1049±1395% interval 1036 to 1062 | 6,122 | Apr 2026 | $75.0 /1k imgs |
| 31 | 28-35 | DreamImage 2.0 | 1047±1395% interval 1034 to 1060 | 6,065 | Jul 2026 | $80.0 /1k imgs |
| 32 | 28-35 | Wan 2.6 Image | 1045±1395% interval 1032 to 1058 | 6,080 | Dec 2025 | $30.0 /1k imgs |
| 33 | 29-36 | Luma UNI 1 | 1044±1395% interval 1031 to 1057 | 9,269 | May 2026 | $40.4 /1k imgs |
| 34 | 29-36 | Seedream 4.5 | 1043±1495% interval 1029 to 1057 | 5,286 | Dec 2025 | $40.0 /1k imgs |
| 35 | 30-36 | Wan 2.7 | 1042±1395% interval 1029 to 1055 | 7,439 | Apr 2026 | $26.0 /1k imgs |
| 36 | 33-38 | HunyuanImage 3.0 (Tencent Cloud) | 1031±1695% interval 1015 to 1047 | 2,892 | Sep 2025 | $32.0 /1k imgs |
| 37 | 36-43 | 1017±1895% interval 999 to 1035 | 2,356 | Dec 2025 | $8.0 /1k imgs | |
| 38 | 37-41 | 1015±1395% interval 1002 to 1028 | 6,990 | Jan 2026 | $17.0 /1k imgs | |
| 39 | 36-44 | 1014±1895% interval 996 to 1032 | 2,367 | Dec 2025 | $5.0 /1k imgs | |
| 40 | 37-43 | FLUX.2 [pro] | 1013±1695% interval 997 to 1029 | 4,019 | Nov 2025 | $45.0 /1k imgs |
| 41 | 37-44 | Step Image Edit 2 | 1009±1495% interval 995 to 1023 | 5,300 | May 2026 | $3.0 /1k imgs |
| 42 | 40-46 | 1000AnchorFixed at 1000 as the reference point for this board's Elo scale. | 8,805 | Nov 2025 | $24.0 /1k imgs | |
| 43 | 40-47 | FLUX.2 [max] | 999±1395% interval 986 to 1012 | 6,755 | Dec 2025 | $140.0 /1k imgs |
| 44 | 39-49 | FLUX.2 [flex] | 999±1895% interval 981 to 1017 | 2,522 | Nov 2025 | $120.0 /1k imgs |
| 45 | 40-50 | GPT Image 1 (high) | 994±1895% interval 976 to 1012 | 2,452 | Apr 2025 | $167.0 /1k imgs |
| 46 | 41-50 | 991±1895% interval 973 to 1009 | 2,527 | Nov 2025 | $60.0 /1k imgs | |
| 47 | 44-51 | P-Image-Edit | 985±1495% interval 971 to 999 | 4,963 | Nov 2025 | $10.0 /1k imgs |
| 48 | 44-51 | Nano Banana (Gemini 2.5 Flash Image) | 984±1495% interval 970 to 998 | 5,018 | Aug 2025 | $39.0 /1k imgs |
| 49 | 43-51 | Reve V1 (December) | 984±1895% interval 966 to 1002 | 2,579 | Dec 2025 | $40.0 /1k imgs |
| 50 | 44-51 | Qwen Image Edit Max 2601 | 982±1895% interval 964 to 1000 | 2,587 | Jan 2026 | $75.0 /1k imgs |
| 51 | 48-54 | Qwen Image 2.0 (2026-03-03) | 968±1895% interval 950 to 986 | 2,590 | Mar 2026 | $35.0 /1k imgs |
| 52 | 49-56 | 963±1995% interval 944 to 982 | 2,370 | Sep 2025 | $30.0 /1k imgs | |
| 53 | 51-56 | 956±1495% interval 942 to 970 | 4,999 | May 2026 | $10.0 /1k imgs | |
| 54 | 52-56 | Kling Image 3.0 Omni | 954±1495% interval 940 to 968 | 4,993 | Feb 2026 | $28.0 /1k imgs |
| 55 | 52-58 | Vidu Q2 | 949±1995% interval 930 to 968 | 2,429 | Nov 2025 | $40.0 /1k imgs |
| 56 | 53-58 | Kling Image O1 | 946±1495% interval 932 to 960 | 4,896 | Dec 2025 | $28.0 /1k imgs |
| 57 | 55-60 | 937±1795% interval 920 to 954 | 3,454 | Jan 2026 | $15.0 /1k imgs | |
| 58 | 54-60 | GPT Image 1 Mini (medium) | 935±2095% interval 915 to 955 | 2,204 | Oct 2025 | $11.0 /1k imgs |
| 59 | 57-62 | FLUX.1 Kontext [max] | 924±2095% interval 904 to 944 | 2,412 | May 2025 | $80.0 /1k imgs |
| 60 | 57-63 | FLUX.1 Kontext [pro] | 918±2095% interval 898 to 938 | 2,318 | May 2025 | $40.0 /1k imgs |
| 61 | 58-63 | 913±2095% interval 893 to 933 | 2,397 | Jan 2026 | $40.0 /1k imgs | |
| 62 | 59-65 | SeedEdit 3.0 | 903±2195% interval 882 to 924 | 2,293 | Jun 2025 | $0.0 /1k imgs |
| 63 | 60-65 | 900±2195% interval 879 to 921 | 2,277 | Dec 2025 | $130.0 /1k imgs | |
| 64 | 61-66 | 890±2195% interval 869 to 911 | 2,389 | Aug 2025 | $30.0 /1k imgs | |
| 65 | 62-66 | 884±2295% interval 862 to 906 | 2,147 | Jun 2025 | $25.0 /1k imgs | |
| 66 | 63-66 | 882±1595% interval 867 to 897 | 4,969 | May 2026 | $5.0 /1k imgs | |
| 67 | 67-68 | 824±2395% interval 801 to 847 | 2,326 | Jan 2026 | $50.0 /1k imgs | |
| 68 | 67-70 | 795±2595% interval 770 to 820 | 2,160 | May 2025 | $100.0 /1k imgs | |
| 69 | 68-70 | 790±2495% interval 766 to 814 | 2,395 | Jun 2025 | $150.0 /1k imgs | |
| 70 | 68-70 | 774±2795% interval 747 to 801 | 2,088 | Jul 2025 | $60.0 /1k imgs | |
| 71 | 71 | 607±3995% interval 568 to 646 | 2,275 | Apr 2025 | $30.0 /1k imgs |
1 API Pricing reflects the cost to generate 1,000 images on the model creator's API at 1024x1024 with the model's default settings
Frequently Asked Questions
The top models on AA-Image-Editing v2.1 by Elo rating are: 1. GPT Image 2.5 Sunburst (max) (Elo 1199), 2. GPT Image 2.5 Flare (max) (Elo 1181), 3. Nano Banana 2.1 (Elo 1152), 4. MAI-Image-2.6 (Elo 1151), and 5. MAI-Image-2.6-Flash (Elo 1143). Rankings are based on blind votes from our validated private evaluators.
Models are ranked using an Elo rating system derived from blind comparisons judged by our validated private evaluators. Voters compare edited outputs from the same input image and editing instruction, choosing the result they prefer. Higher Elo scores indicate a model is preferred more often.