> 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/en-us/other/model_rank/vision.md).
# Visual Rankings
This page shows [Arena AI](https://arena.ai/leaderboard/vision) A daily snapshot of the top 30 on the leaderboard, making it easy to quickly understand recent model performance. For the full leaderboard, filters, and the latest changes, please visit the Arena AI official website.
This leaderboard evaluates multimodal models' performance on image understanding tasks.
> **Data updated**: 2026-09-23 13:18:19 UTC / 2026-09-23 21:18:19 CST (Beijing Time)
{% hint style="info" %}
The leaderboard reflects specific evaluations and user voting preferences; it does not mean a model will necessarily be better for your task. When choosing a model, also consider price, speed, context, tool calling, privacy, and regional availability.
{% endhint %}
## Top 30
| Rank | Rank range | Model | Score | Votes | Price $/million tokens | Context |
| ---: | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------- | -----: | ---------------------- | ------- |
| 1 | 1-8 | claude-fable-5-high [1](https://www.anthropic.com/news/claude-fable-5-mythos-5) | 1310 (±8) | 11,304 | $10 / $50 | 1M |
| 2 | 1-14 | qwen3.8-max [1](https://www.qwencloud.com/models/qwen3.8-max) | 1302 (±8) | 8,665 | $1.69 / $5.07 | 1M |
| 3 | 1-14 | claude-opus-4-7-high [1](https://www.anthropic.com/news/claude-opus-4-7) | 1301 (±7) | 21,092 | $5 / $25 | 1M |
| 4 | 1-15 | claude-opus-4-7 [1](https://www.anthropic.com/news/claude-opus-4-7) | 1300 (±7) | 21,450 | $5 / $25 | 1M |
| 5 | 1-16 | claude-opus-4-6-high [1](https://www.anthropic.com/news/claude-opus-4-6) | 1299 (±7) | 20,835 | $5 / $25 | 1M |
| 6 | 1-30 | muse-spark-1.3-max [1](https://developer.meta.com/ai/models/muse-spark/) | 1294 (±15) | 1,804 | N/A | N/A |
| 7 | 1-28 | muse-spark [1](https://ai.meta.com/blog/introducing-muse-spark-msl/) | 1294 (±9) | 5,572 | N/A | N/A |
| 8 | 2-26 | claude-opus-4-6 [1](https://www.anthropic.com/news/claude-opus-4-6) | 1293 (±7) | 25,140 | $5 / $25 | 1M |
| 9 | 1-31 | muse-spark-1.2 (xHigh) [1](https://developer.meta.com/ai/models/muse-spark/) | 1292 (±15) | 1,841 | $1.25 / $4.25 | N/A |
| 10 | 2-30 | claude-opus-5-high [1](https://www.anthropic.com/news/claude-opus-5) | 1289 (±8) | 11,599 | $5 / $25 | 1M |
| 11 | 2-31 | claude-fable-5.1-max [1](https://www.anthropic.com/claude-fable-and-mythos-5-1) | 1289 (±12) | 2,701 | $10 / $50 | 1M |
| 12 | 2-30 | gemini-3-pro [1](http://aistudio.google.com/app/prompts/new_chat?model=gemini-3-pro-preview) | 1289 (±8) | 12,995 | $2 / $12 | 1M |
| 13 | 4-30 | gpt-5.5 [1](https://openai.com/index/introducing-gpt-5-5/) | 1287 (±6) | 23,423 | $5 / $30 | 1.1M |
| 14 | 2-31 | gpt-5.6-sol-xhigh [1](https://openai.com/index/gpt-5-6/) | 1286 (±8) | 7,729 | $4 / $20 | N/A |
| 15 | 6-30 | gpt-5.4-high [1](https://platform.openai.com/docs/models/gpt-5.4) | 1285 (±6) | 25,357 | $2.50 / $15 | 1.1M |
| 16 | 2-38 | gpt-6-astra-max [1](https://openai.com/index/gpt-6-astra/) | 1284 (±17) | 1,367 | N/A | N/A |
| 17 | 6-31 | gemini-3.5-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/) | 1284 (±8) | 9,579 | $0.75 / $4.50 | 1M |
| 18 | 6-31 | claude-opus-4-8-high [1](https://www.anthropic.com/news/claude-opus-4-8) | 1283 (±7) | 15,274 | $5 / $25 | 1M |
| 19 | 6-31 | gpt-5.5-high [1](https://openai.com/index/introducing-gpt-5-5/) | 1283 (±6) | 21,960 | $5 / $30 | 1.1M |
| 20 | 6-32 | gemini-3.5-flash-medium [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/) | 1283 (±8) | 9,618 | $0.75 / $4.50 | 1M |
| 21 | 5-35 | gemini-3.6-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/) | 1283 (±10) | 5,159 | $0.75 / $3.75 | 1M |
| 22 | 6-35 | muse-spark-1.1 [1](https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/) | 1281 (±8) | 8,447 | $1.25 / $4.25 | 1M |
| 23 | 6-35 | gpt-5.4 [1](https://platform.openai.com/docs/models/gpt-5.4) | 1280 (±7) | 21,188 | $1.25 / $7.50 | 1.1M |
| 24 | 6-35 | grok-4.5 [1](https://docs.x.ai/developers/models/grok-4.5) | 1279 (±8) | 8,355 | $2 / $6 | 500K |
| 25 | 7-35 | claude-opus-4-8 [1](https://www.anthropic.com/news/claude-opus-4-8) | 1279 (±7) | 15,801 | $5 / $25 | 1M |
| 26 | 8-35 | gemini-3.1-pro-preview [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/) | 1279 (±5) | 40,691 | $1 / $6 | 1M |
| 27 | 7-35 | gpt-5.2-chat-latest-20260210 [1](https://developers.openai.com/api/docs/models/gpt-5.2-chat-latest) | 1278 (±7) | 15,432 | $1.75 / $14 | 128K |
| 28 | 6-37 | gpt-5.5-instant [1](https://openai.com/index/gpt-5-5-instant) | 1278 (±9) | 7,226 | $5 / $30 | 1.1M |
| 29 | 8-37 | claude-sonnet-4-6 [1](https://www.anthropic.com/news/claude-sonnet-4-6) | 1275 (±6) | 25,552 | $1.50 / $7.50 | 1M |
| 30 | 6-41 | glm-5.3-flash [1](https://z.ai/blog/glm-5.3) | 1275 (±12) | 3,110 | $0.06 / $0.20 | 1M |
## How to read this table
* **Rank / Rank range**: Arena AI estimates relative rank based on head-to-head votes; the rank range indicates rank fluctuations within the confidence range.
* **Score**: A relative score, suitable for comparing models on the leaderboard at the same point in time.
* **Votes / sessions**: Reference for sample size; with fewer samples, rankings are usually more likely to fluctuate.
* **Price $/million tokens**: Reference price per million input/output tokens.
* **Context**: The maximum context length supported by the model.
## Three things to confirm when choosing a model
1. Whether the provider actually offers this model, and whether it is available in your region and account;
2. Whether the API price, rate limits, and context length fit your task;
3. Run a small-scale test with 3–5 real tasks; don't rely only on the overall leaderboard rank.
## Data source
Data comes from [Arena AI official vision leaderboard](https://arena.ai/leaderboard/vision), updated daily by GitHub Actions. Model pricing, licenses, and capabilities should be based on the official information from the model provider.
---
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