> 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/text.md).
# Text Rankings
This page shows [Arena AI](https://arena.ai/leaderboard/text) 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 latest changes, please visit the Arena AI official website.
This leaderboard is Arena AI's core text battle leaderboard, estimating models' relative strength based on human blind-vote matchups.
> **Data updated at**: 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 length, tool use, privacy, and regional availability.
{% endhint %}
## Top 30
| Rank | Rank range | Model | Score | Votes | Price $/million tokens | Context |
| ---: | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------- | ------: | ---------------------- | ------- |
| 1 | 1-7 | claude-fable-5-high [1](https://www.anthropic.com/news/claude-fable-5-mythos-5) | 1506 (±5) | 30,057 | $10/$50 | 1M |
| 2 | 1-7 | claude-opus-4-6-high [1](https://www.anthropic.com/news/claude-opus-4-6) | 1505 (±4) | 71,993 | $5/$25 | 1M |
| 3 | 1-10 | claude-opus-4-7-high [1](https://www.anthropic.com/news/claude-opus-4-7) | 1502 (±4) | 60,002 | $5/$25 | 1M |
| 4 | 1-19 | muse-spark-1.2 (xHigh) [1](https://developer.meta.com/ai/models/muse-spark/) | 1500 (±11) | 3,227 | $1.25/$4.25 | N/A |
| 5 | 1-15 | claude-fable-5.1-max [1](https://www.anthropic.com/claude-fable-and-mythos-5-1) | 1498 (±8) | 5,783 | $10/$50 | 1M |
| 6 | 3-12 | claude-opus-4-6 [1](https://www.anthropic.com/news/claude-opus-4-6) | 1497 (±3) | 75,878 | $5/$25 | 1M |
| 7 | 3-15 | claude-opus-4-7 [1](https://www.anthropic.com/news/claude-opus-4-7) | 1494 (±4) | 61,128 | $5/$25 | 1M |
| 8 | 1-24 | muse-spark-1.3-max [1](https://developer.meta.com/ai/models/muse-spark/) | 1493 (±9) | 4,723 | N/A | N/A |
| 9 | 1-24 | gemini-3.8-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/) | 1493 (±9) Preliminary | 5,076 | $0.75/$3.75 | 1M |
| 10 | 4-19 | claude-opus-5-high [1](https://www.anthropic.com/news/claude-opus-5) | 1493 (±4) | 42,617 | $5/$25 | 1M |
| 11 | 4-20 | muse-spark-1.1 [1](https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/) | 1493 (±5) | 27,615 | $1.25/$4.25 | N/A |
| 12 | 3-27 | gemini-3.7-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-flash/) | 1490 (±8) Preliminary | 5,640 | $0.75/$3.75 | 1M |
| 13 | 5-25 | muse-spark [1](https://ai.meta.com/blog/introducing-muse-spark-msl/) | 1488 (±6) | 13,565 | N/A | N/A |
| 14 | 5-27 | claude-opus-5-max [1](https://www.anthropic.com/news/claude-opus-5) | 1487 (±5) | 20,706 | $5/$25 | 1M |
| 15 | 7-24 | gemini-3.1-pro-preview [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/) | 1487 (±3) | 106,951 | $1/$6 | 1M |
| 16 | 7-27 | gemini-3-pro [1](https://aistudio.google.com/app/prompts/new_chat?model=gemini-3-pro-preview) | 1485 (±4) | 40,654 | $2/$12 | 1M |
| 17 | 7-30 | kimi-k3-max [1](https://platform.kimi.ai/docs/guide/kimi-k3-quickstart) | 1485 (±5) | 20,987 | N/A | N/A |
| 18 | 9-32 | gpt-5.6-sol-xhigh [1](https://openai.com/index/gpt-5-6/) | 1483 (±5) | 27,069 | $4/$20 | N/A |
| 19 | 7-37 | glm-5.3-max [1](https://z.ai/blog/glm-5.3) | 1483 (±6) | 10,960 | $1.40/$4.40 | 1M |
| 20 | 10-34 | gpt-5.5-high [1](https://openai.com/index/introducing-gpt-5-5/) | 1482 (±4) | 64,924 | $5/$30 | 1.1M |
| 21 | 10-35 | claude-opus-4-8-high [1](https://www.anthropic.com/news/claude-opus-4-8) | 1481 (±4) | 52,535 | $5/$25 | 1M |
| 22 | 10-39 | qwen3.8-max [1](https://www.qwencloud.com/models/qwen3.8-max) | 1481 (±6) | 16,670 | $1.69/$5.07 | 1M |
| 23 | 10-39 | 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/) | 1480 (±5) | 26,445 | $0.75/$3.75 | 1M |
| 24 | 5-51 | gpt-6-astra-max [1](https://openai.com/index/gpt-6-astra/) | 1480 (±12) | 2,693 | N/A | N/A |
| 25 | 14-40 | gemini-3.5-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/) | 1478 (±4) | 38,257 | $0.75/$4.50 | 1M |
| 26 | 17-43 | gpt-5.4-high [1](https://platform.openai.com/docs/models/gpt-5.4) | 1476 (±4) | 60,537 | $2.50/$15 | 1.1M |
| 27 | 17-43 | gpt-5.2-chat-latest-20260210 [1](https://developers.openai.com/api/docs/models/gpt-5.2-chat-latest) | 1476 (±4) | 34,176 | $1.75/$14 | 128K |
| 28 | 17-43 | gpt-5.5 [1](https://openai.com/index/introducing-gpt-5-5/) | 1476 (±4) | 66,317 | $5/$30 | 1.1M |
| 29 | 14-49 | glm-5.3-flash [1](https://z.ai/blog/glm-5.3) | 1475 (±7) | 10,038 | $0.06/$0.20 | 1M |
| 30 | 18-47 | grok-4.20-beta1 [1](https://grok.com/) | 1475 (±5) | 26,599 | N/A | N/A |
## How to read this table
* **Rank / rank range**：Arena AI's estimated relative rank based on match votes; the rank range indicates rank fluctuation within the confidence interval.
* **Score**：A relative score, suitable for comparing models on the leaderboard at the same point in time.
* **Votes / sessions**：A reference for sample size; with fewer samples, rankings are usually more likely to fluctuate.
* **Price $/million tokens**：Reference price per million tokens for input / output.
* **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 suit your task;
3. Run a small test with 3–5 real tasks, and don't rely only on the overall leaderboard rank.
## Data source
Data comes from [Arena AI official text leaderboard](https://arena.ai/leaderboard/text)Updated daily by GitHub Actions. For model pricing, licenses, and capabilities, please refer to the model provider's official information.
---
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