Agentic & Tool Use benchmark # LMArena Search leaderboard > LMArena Search results for 32 AI models, led by GPT-5.6 Sol at 1257. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/arena-search - Last updated: 2026-10-10 - Title: LMArena Search Leaderboard (October 2026): Scores by Model As of October 2026, GPT-5.6 Sol has the highest published LMArena Search score on Noometry at 1257, out of 32 models with results. Last verified October 10, 2026 ## About LMArena Search Blind votes on answers from search-grounded models. - **Category:** [Agentic & Tool Use](https://noometry.com/best/agentic) - **Introduced:** 2025 - **Format:** Pairwise human votes - **Unit:** Arena rating (Bradley–Terry) - **Official site:** [lmarena.ai](https://lmarena.ai/leaderboard/search) ## Top 15 models Top models on LMArena Search 1. GPT-5.6 Sol 1257 2. Claude Opus 4.6 1253 3. GPT-5.5 1242 4. Claude Opus 4.7 1233 5. Claude Fable 5 1230 6. ERNIE 5.1 1227 7. Claude Sonnet 4.6 1221 8. Grok 4.5 1213 9. Gemini 3.1 Pro Preview 1211 10. Gemini 3 Pro 1207 11. GPT-5.2 1207 12. Claude Opus 4.8 1204 13. Grok 4.20 Multi-Agent 1204 14. GPT-5.1 1199 15. Gemini 3 Flash Preview 1198 16. 11801200122012401260 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results LMArena Search results by model | # | Model | Provider | Rating | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 1257 | xhigh | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 2 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1253 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 3 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 1242 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 4 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 1233 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 5 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1230 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 6 | [ERNIE 5.1](https://noometry.com/models/ernie-5-1) | [![](/logos/baidu.svg) Baidu](https://noometry.com/providers/baidu) | 1227 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 7 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1221 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 8 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 1213 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 9 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1211 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 10 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1207 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 11 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 1207 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 12 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 1204 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 13 | [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | [xAI](https://noometry.com/providers/xai) | 1204 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 14 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 1199 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 15 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1198 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 16 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 1197 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 17 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1194 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 18 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 1189 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 19 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1180 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 20 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 1171 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 21 | [Grok 4 Fast](https://noometry.com/models/grok-4-fast) | [xAI](https://noometry.com/providers/xai) | 1171 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 22 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 1165 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 23 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1159 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 24 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 1148 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 25 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 1144 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 26 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1142 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 27 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 1142 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 28 | [Sonar Reasoning Pro](https://noometry.com/models/sonar-reasoning-pro) | [![](/logos/perplexity.svg) Perplexity](https://noometry.com/providers/perplexity) | 1139 | high | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 29 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 1133 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 30 | [Sonar Pro](https://noometry.com/models/sonar-pro) | [![](/logos/perplexity.svg) Perplexity](https://noometry.com/providers/perplexity) | 1130 | high | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 31 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 1127 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | | 32 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 1006 | | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 | ## Compare the leaders - [GPT-5.6 Sol vs Claude Opus 4.6](https://noometry.com/compare/claude-opus-4-6-vs-gpt-5-6-sol) - [GPT-5.6 Sol vs GPT-5.5](https://noometry.com/compare/gpt-5-5-vs-gpt-5-6-sol) - [GPT-5.6 Sol vs Claude Opus 4.7](https://noometry.com/compare/claude-opus-4-7-vs-gpt-5-6-sol) - [GPT-5.6 Sol vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-gpt-5-6-sol) - [Claude Opus 4.6 vs GPT-5.5](https://noometry.com/compare/claude-opus-4-6-vs-gpt-5-5) - [Claude Opus 4.6 vs Claude Opus 4.7](https://noometry.com/compare/claude-opus-4-6-vs-claude-opus-4-7) ## Other agentic & tool use benchmarks - [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) - [APEX-Agents](https://noometry.com/benchmarks/apex-agents) - [Berkeley Function Calling Leaderboard](https://noometry.com/benchmarks/bfcl) - [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2) - [GDPval](https://noometry.com/benchmarks/gdpval) - [Remote Labor Index](https://noometry.com/benchmarks/remote-labor-index) - [TheAgentCompany](https://noometry.com/benchmarks/the-agent-company) - [τ²-bench Airline](https://noometry.com/benchmarks/tau2-airline) - [τ²-bench Banking](https://noometry.com/benchmarks/tau2-banking) - [τ²-bench Retail](https://noometry.com/benchmarks/tau2-retail) - [τ²-bench Telecom](https://noometry.com/benchmarks/tau2-telecom) - [Cybench](https://noometry.com/benchmarks/cybench) ## Frequently asked questions ### What does LMArena Search measure? Blind votes on answers from search-grounded models. ### Which model has the highest LMArena Search score? As of October 2026, GPT-5.6 Sol has the highest published LMArena Search score on Noometry at 1257, out of 32 models with results. ### Cite this page Noometry. (2026). LMArena Search leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/arena-search Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/arena-search.md).