> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/zhong-wen-fan-ti/other/model_rank/text-to-image.md).
# 文生圖排行榜
呢個頁面展示 [Arena AI](https://arena.ai/leaderboard/text-to-image) 呢個榜單係前 30 名嘅每日快照，方便你快速了解近期模型表現。完整榜單、篩選項同最新變化請去 Arena AI 官網睇。
呢個榜單評測文生圖模型根據文字提示生成圖像嘅能力。
> **數據更新時間**: 2026-09-21 14:48:27 UTC / 2026-09-21 22:48:27 CST (北京時間)
{% hint style="info" %}
排行榜反映特定評測同用戶投票偏好，唔等同模型喺你嘅任務入面一定更好。揀模型嗰陣仲要考慮價格、速度、上下文、工具調用、私隱同地區可用性。
{% endhint %}
## 前 30 名
| 排名 | 排名區間 | 模型 | 分數 | 票數 |
| -: | ----- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- | ------: |
| 1 | 1-2 | gpt-image-2.5-sunburst [1](https://openai.com/index/introducing-chatgpt-images-2-5/) | 1421 (±13) 初步 | 3,149 |
| 2 | 1-2 | gpt-image-2.5-flare [1](https://openai.com/index/introducing-chatgpt-images-2-5/) | 1399 (±13) 初步 | 2,856 |
| 3 | 3-3 | gpt-image-2 (medium) [1](https://x.com/OpenAI/status/2046665696898412887?s=20) | 1381 (±4) | 78,731 |
| 4 | 4-5 | mai-image-2.6 [1](https://microsoft.ai/news/mai-image-2-6-launches-at-no-2-on-arena-ahead-of-google-meta-and-xai/) | 1331 (±7) | 11,213 |
| 5 | 4-6 | grok-imagine-image-2.0 (low) [1](https://x.ai/news/grok-imagine-image-2) | 1315 (±12) 初步 | 2,681 |
| 6 | 5-6 | reve-2.1 [1](http://reve.com/) | 1301 (±8) | 7,573 |
| 7 | 7-8 | muse-image [1](https://ai.meta.com/blog/introducing-muse-image-muse-video-msl/) | 1277 (±6) | 26,045 |
| 8 | 7-9 | reve-2.0 [1](http://reve.com/) | 1270 (±6) | 14,632 |
| 9 | 8-13 | gemini-3.1-flash-image (nano-banana-2) \[web-search] [1](http://aistudio.google.com/prompts/new_chat?model=gemini-3.1-flash-image) | 1261 (±5) | 41,957 |
| 10 | 9-13 | seedream-5.0-pro [1](https://seed.bytedance.com/en/seedream5_0_pro) | 1257 (±4) | 62,443 |
| 11 | 9-14 | qwen-image-3.0-pro [1](https://www.qwencloud.com/try-ai?scene=image\&models=qwen-image-3.0-pro) | 1254 (±7) | 10,920 |
| 12 | 9-13 | mai-image-2.5 [1](https://microsoft.ai/news/introducing-mai-image-2-5/) | 1254 (±4) | 57,250 |
| 13 | 9-14 | gemini-3.1-flash-lite-image (nano-banana-2-lite) [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-omni-flash-nano-banana-2-lite/) | 1250 (±6) | 16,371 |
| 14 | 12-14 | gemini-3-pro-image-2k (nano-banana-pro) [1](https://ai.studio/banana) | 1246 (±3) | 152,220 |
| 15 | 15-16 | gpt-image-1.5-high-fidelity [1](https://platform.openai.com/docs/models/gpt-image-1.5) | 1239 (±3) | 151,702 |
| 16 | 15-16 | gemini-3-pro-image-preview (nano-banana-pro) [1](https://ai.studio/banana) | 1232 (±5) | 82,737 |
| 17 | 17-17 | ideogram-4.0-quality [1](https://ideogram.ai/blog/4.0/) | 1204 (±4) | 42,169 |
| 18 | 18-21 | qwen-image-2.0-pro-2026-06-22 [1](https://bailian.console.alibabacloud.com/cn-beijing?tab=api#/api/?type=model\&url=2975126) | 1191 (±6) | 12,005 |
| 19 | 18-21 | uni-1.1-max [1](https://lumalabs.ai/api) | 1188 (±6) | 13,469 |
| 20 | 18-22 | mai-image-2 [1](https://microsoft.ai/news/introducing-MAI-Image-2) | 1183 (±5) | 49,198 |
| 21 | 18-22 | uni-1.1 [1](https://lumalabs.ai/api) | 1181 (±5) | 33,836 |
| 22 | 22-24 | grok-imagine-image [1](https://docs.x.ai/developers/model-capabilities/images/generation) | 1171 (±3) | 236,623 |
| 23 | 20-28 | recraft-v4.1-utility-pro [1](https://www.recraft.ai/blog/recraft-v4-1-more-beautiful-by-nature) | 1169 (±11) | 2,516 |
| 24 | 22-28 | Cosmos3-Super-Text2Image (Agentic) [1](https://huggingface.co/nvidia/Cosmos3-Super-Text2Image) | 1167 (±8) | 7,424 |
| 25 | 23-28 | flux-2-max [1](https://bfl.ai/models/flux-2) | 1162 (±4) | 117,339 |
| 26 | 23-29 | grok-imagine-image-pro [1](https://docs.x.ai/developers/model-capabilities/images/generation) | 1161 (±4) | 93,639 |
| 27 | 23-31 | flux-2-flex [1](https://bfl.ai/models/flux-2) | 1157 (±3) | 149,288 |
| 28 | 27-33 | flux-2-pro [1](https://bfl.ai/models/flux-2) | 1154 (±3) | 188,083 |
| 29 | 26-35 | reve-v1.5 [1](https://app.reve.com/) | 1154 (±4) | 36,748 |
| 30 | 23-35 | Cosmos3-Super-Text2Image [1](https://huggingface.co/nvidia/Cosmos3-Super-Text2Image) | 1154 (±7) | 12,499 |
## 點樣睇呢張表
* **排名 / 排名區間**：Arena AI 根據文生圖對戰投票估算嘅相對名次；排名區間表示喺置信範圍內嘅名次波動。
* **分數**：相對評分，適合比較同一時刻榜單入面嘅模型。
* **票數**：樣本量參考；樣本較少時，排名通常更容易波動。
## 揀模型時再確認三樣嘢
1. Provider 係咪實際有提供呢個模型，同埋你嘅地區同帳戶係咪可用；
2. API 價格、速率限制同上下文係咪適合你嘅任務；
3. 用 3～5 個真實任務做小規模測試，唔好淨係睇總榜名次。
## 數據來源
數據嚟自 [Arena AI 官方文生圖榜單](https://arena.ai/leaderboard/text-to-image)，由 GitHub Actions 每日更新。模型價格、許可證同能力請以模型服務商官方資訊為準。
---
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