> 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/search.md).
# Search Rankings
This page shows [Arena AI](https://arena.ai/leaderboard/search) A daily snapshot of the top 30 on the leaderboard, to quickly understand recent model performance. For the full leaderboard, filters, and latest changes, please visit the Arena AI official website.
This leaderboard evaluates model performance on web-connected search / information retrieval tasks.
> **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, and does not necessarily mean a model will 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 | 1-2 | gpt-5.6-sol-xhigh [1](https://openai.com/index/gpt-5-6/) | 1257 (±7) | 29,663 | $4/$20 | 1.1M |
| 2 | 1-2 | claude-opus-4-6-search [1](https://www.anthropic.com/news/claude-opus-4-6) | 1253 (±5) | 134,699 | $5/$25 | 1M |
| 3 | 3-5 | gpt-5.5-search [1](https://openai.com/index/introducing-gpt-5-5/) | 1242 (±5) | 89,873 | $5/$30 | 1.1M |
| 4 | 3-6 | claude-opus-4-7 [1](https://www.anthropic.com/news/claude-opus-4-7) | 1233 (±5) | 91,394 | $5/$25 | 1M |
| 5 | 3-7 | claude-fable-5-high [1](https://www.anthropic.com/news/claude-fable-5-mythos-5) | 1230 (±8) | 41,795 | $10/$50 | 1M |
| 6 | 4-8 | ernie-5.1 [1](https://ernie.baidu.com/blog/posts/ernie-5.1-0508-release/) | 1227 (±10) | 3,788 | $0.56/$2.54 | 119K |
| 7 | 5-8 | claude-sonnet-4-6-search [1](https://www.anthropic.com/news/claude-sonnet-4-6) | 1221 (±5) | 134,905 | $1.50/$7.50 | 1M |
| 8 | 6-13 | grok-4.5 [1](https://docs.x.ai/developers/models/grok-4.5) | 1213 (±7) | 31,505 | $2/$6 | 500K |
| 9 | 8-13 | gemini-3.1-pro-grounding [1](https://ai.google.dev/gemini-api/docs/google-search) | 1210 (±5) | 113,282 | N/A | N/A |
| 10 | 8-16 | gemini-3-pro-grounding [1](https://ai.google.dev/gemini-api/docs/google-search) | 1207 (±6) | 37,024 | $2/$12 | N/A |
| 11 | 8-16 | gpt-5.2-search [1](https://openai.com/index/introducing-gpt-5-2/) | 1207 (±6) | 52,712 | $0.88/$7 | 400K |
| 12 | 8-17 | claude-opus-4-8 [1](https://www.anthropic.com/news/claude-opus-4-8) | 1204 (±6) | 70,998 | $5/$25 | 1M |
| 13 | 8-17 | grok-4.20-multi-agent-beta-0309 [1](https://docs.x.ai/developers/models/grok-4.20-multi-agent-beta-0309) | 1204 (±5) | 109,553 | $1.25/$2.50 | 1M |
| 14 | 10-18 | gpt-5.1-search [1](https://openai.com/index/gpt-5-1/) | 1199 (±5) | 59,909 | $0.63/$5 | 400K |
| 15 | 10-18 | gemini-3-flash-grounding [1](https://ai.google.dev/gemini-api/docs/google-search) | 1198 (±5) | 149,334 | N/A | N/A |
| 16 | 10-18 | gpt-5.4-search [1](https://platform.openai.com/docs/models/gpt-5.4) | 1197 (±5) | 110,116 | $2.50/$15 | 1.1M |
| 17 | 12-18 | claude-sonnet-5-search [1](https://www.anthropic.com/news/claude-sonnet-5) | 1194 (±7) | 40,230 | $2/$10 | 1M |
| 18 | 14-19 | grok-4.20-beta1 [1](https://grok.com/) | 1189 (±6) | 53,921 | N/A | N/A |
| 19 | 18-22 | claude-opus-4-5-search [1](https://www.anthropic.com/news/claude-opus-4-5) | 1180 (±6) | 61,573 | $5/$25 | 200K |
| 20 | 19-23 | gpt-5.2-search-non-reasoning [1](https://openai.com/index/introducing-gpt-5-2/) | 1172 (±6) | 75,658 | $0.88/$7 | 400K |
| 21 | 19-23 | grok-4-1-fast-search [1](https://x.ai/news/grok-4-1-fast) | 1171 (±5) | 81,507 | $1.25/$2.50 | 2M |
| 22 | 19-23 | grok-4-fast-search [1](https://x.ai/news/grok-4-fast) | 1171 (±5) | 41,794 | $0.20/$0.50 | 2M |
| 23 | 20-24 | grok-4.3 [1](https://docs.x.ai/developers/models/grok-4.3) | 1165 (±5) | 91,483 | $1.25/$2.50 | 1M |
| 24 | 23-24 | claude-sonnet-4-5-search [1](https://www.anthropic.com/news/claude-sonnet-4-5) | 1158 (±5) | 127,378 | $3/$15 | 1M |
| 25 | 25-29 | claude-opus-4-1-search [1](https://www.anthropic.com/news/claude-opus-4-1) | 1148 (±5) | 76,933 | $15/$75 | 200K |
| 26 | 25-29 | o3-search [1](https://platform.openai.com/docs/guides/tools-web-search?api-mode=responses) | 1144 (±5) | 20,644 | $1/$4 | 200K |
| 27 | 25-30 | gemini-2.5-pro-grounding [1](https://ai.google.dev/gemini-api/docs/google-search) | 1142 (±5) | 83,404 | $0.63/$5 | 1M |
| 28 | 25-31 | grok-4-search [1](https://docs.x.ai/docs/guides/live-search) | 1142 (±6) | 19,108 | $3/$15 | N/A |
| 29 | 25-31 | ppl-sonar-reasoning-pro-high [1](https://docs.perplexity.ai/getting-started/overview) | 1139 (±6) | 29,055 | $1/$1 | 127.1K |
| 30 | 27-32 | gpt-5-search [1](https://platform.openai.com/docs/guides/tools-web-search?api-mode=responses) | 1133 (±6) | 20,781 | $0.63/$5 | 400K |
## How to read this table
* **Rank / Rank range**: Arena AI's estimated relative ranking based on matchup votes; the rank range indicates ranking fluctuations within the confidence interval.
* **Score**: Relative score, suitable for comparing models on the leaderboard at the same point in time.
* **Votes / Sessions**: Sample size reference; with fewer samples, rankings are usually more likely to fluctuate.
* **Price $/million tokens**: Reference price per million input / output tokens.
* **Context**: Maximum context length supported by the model.
## Three things to confirm again 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 fit your task;
3. Do a small-scale test with 3–5 real tasks; don't rely only on the overall leaderboard rank.
## Data sources
Data from [Arena AI official search leaderboard](https://arena.ai/leaderboard/search), updated daily by GitHub Actions. For model pricing, licenses, and capabilities, please refer to the model provider's official information.
---
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