Who ranks #1 on the Agentic leaderboard?
As of August 22, 2026, Kimi K3 by Moonshot AI ranks #1 on BrowseComp at 91.2%. API pricing is $3.00/M input and $15.00/M output.
As of August 22, 2026, Kimi K3 is #1 for agent and computer-use work at 91.2%. Ranked by the BrowseComp score Best AI agent ranked by OSWorld, Claude computer use, tau-bench, and tool-use evals. Compare computer-use scores next to API price.
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As of August 22, 2026, Kimi K3 by Moonshot AI is #1 for agent and computer-use work at 91.2%. Ranked by the BrowseComp score This board also tracks BrowseComp, APEX-Agents, tau-bench Retail, BFCL. Next on the same board: Claude Opus 5 and GPT-5.6 Sol. Related leaders: Grok 4.6 on APEX-Agents at 57.5%; Claude Opus 4.6 on tau-bench Retail at 91.9%. This agentic leaderboard ranks models by BrowseComp. Scores come from public evals. Prices are the live API rates in the table above.
Sources: BrowseComp (OpenAI) (https://openai.com/index/browsecomp/); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | BrowseComp | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Kimi K3 | 91.2% | $3.00 | $15.00 |
| 2 | Claude Opus 5 | 90.8% | $5.00 | $25.00 |
| 3 | GPT-5.6 Sol | 90.4% | $5.00 | $30.00 |
| 4 | GPT-5.5 Pro | 90.1% | $60.00 | $480.00 |
| 5 | Claude Mythos 5 | 88% | $10.00 | $50.00 |
| 6 | GPT-5.6 Terra | 87.5% | $2.00 | $12.00 |
| 7 | Claude Mythos Preview | 86.9% | $10.00 | $50.00 |
| 8 | Kimi K2.6 | 86.3% | $0.96 | $3.97 |
Claude computer use is the Anthropic name for letting Claude drive a computer: screenshot in, mouse and keyboard out. People search it more than “best LLM for agents.” OSWorld is the public exam for that loop. A high chat score does not mean the model can finish a desktop task.
OSWorld is GUI computer use. tau-bench is multi-turn tool calls in a text workflow. BrowseComp is web research. Sort the column that matches the loop you ship. Mixing them into one “best agent” trophy is how teams buy the wrong SKU.
Rank one eval at a time. All LLM benchmarks.
As of August 22, 2026, Kimi K3 by Moonshot AI ranks #1 on BrowseComp at 91.2%. API pricing is $3.00/M input and $15.00/M output.
As of August 22, 2026, Kimi K3 by Moonshot AI is #1 for agent and computer-use work at 91.2%. Ranked by the BrowseComp score This board also tracks BrowseComp, APEX-Agents, tau-bench Retail, BFCL. Next on the same board: Claude Opus 5 and GPT-5.6 Sol. Related leaders: Grok 4.6 on APEX-Agents at 57.5%; Claude Opus 4.6 on tau-bench Retail at 91.9%.
The current BrowseComp ranking as of August 22, 2026 is 1. Kimi K3 at 91.2%; 2. Claude Opus 5 at 90.8%; 3. GPT-5.6 Sol at 90.4%.
Nemotron 3.5 Lightning (30B A3B) is the cheapest scored model on this agentic leaderboard at $0.05/M input and $0.20/M output ($0.25 blended). Kimi K3 still leads BrowseComp at 91.2%.
Not automatically. Kimi K3 leads BrowseComp, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh BrowseComp against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 22, 2026. Treat it as a current index, not a one-off blog post.
OSWorld ranks desktop computer-use, tau-bench ranks multi-turn tool conversations, and BrowseComp ranks web research. Sort by the agent loop you ship.
OSWorld is a computer-use benchmark. Models have to click, type, and finish real desktop tasks instead of answering a chat prompt.
tau-bench and tau2-bench score agents on retail, airline, and telecom workflows that need reliable tool calls over many turns.
Claude computer use is Anthropic's desktop-control loop: the model sees the screen, then clicks and types. OSWorld is the usual public score for that job. Computer use is not the same as a chat model with function calling.
Computer use means the agent operates a real desktop or browser: mouse, keyboard, apps. OSWorld and OSWorld-Verified score that. Tool-calling benches like tau-bench score API tools in a conversation, not a GUI.
No. Chat quality and agent success diverge. A model can win Arena Elo and fail OSWorld. Rank this board for agents, the overall board for chat, and coding for SWE-bench.