The Agents Leaderboard ranks large language models by their ability to act as autonomous problem-solvers rather than simply generate responses. Unlike standard text-generation evaluations, agentic benchmarks test whether a model can independently break down complex goals, execute shell commands in terminal environments, invoke external APIs, interpret tool outputs, and recover from runtime errors.
Drawing on evaluations agent-focused benchmarks this leaderboard highlights models capable of handling complex, multi-step tasks across developer and enterprise workflows.
Looking for well-rounded performance? Agentic capabilities account for 20% of the composite evaluation. Check the Overall LLM Ranking to see how top agentic models perform across coding, mathematics, and complex reasoning.
| Rank | Model Name | Relative Quality | Score |
|---|---|---|---|
| 1 | Claude Opus 5.5 |
|
100.00 |
| 2 | GPT-6 Astra |
|
93.90 |
| 3 | Muse Wonder Full |
|
92.17 |
| 4 | Claude Sonnet 5.5 |
|
89.41 |
| 5 | Claude Fable 5.1 |
|
88.90 |
| 6 | GPT-6.1 Sol |
|
85.30 |
| 7 | Gemini 4 Argon |
|
84.40 |
| 8 | GPT-6 Sol |
|
77.32 |
| 9 | Claude Opus 5 |
|
76.23 |
| 10 | GPT-5.5 Pro |
|
74.96 |
| 11 | Claude Opus 4.7 |
|
73.74 |
| 12 | Claude Fable 5 |
|
73.45 |
| 13 | Gemini 3.5 Flash |
|
70.43 |
| 14 | GPT-5.6 Sol |
|
70.27 |
| 15 | Ling 3.0 Flash Fin |
|
70.09 |
| 16 | DeepSeek-V4.1-Flash |
|
69.51 |
| 17 | Claude Opus 4.6 |
|
68.70 |
| 18 | Muse Wonder |
|
68.54 |
| 19 | Claude Opus 4.8 |
|
68.32 |
| 20 | Hy4 |
|
67.26 |
| 21 | Kimi K2.6 |
|
67.13 |
| 22 | Gemini 3.6 Flash |
|
66.78 |
| 23 | Kimi K2.7 Code |
|
66.43 |
| 24 | MiMo-V2.6-Pro |
|
65.71 |
| 25 | Claude Haiku 5.5 |
|
65.65 |
| 26 | MiMo-V2.6-Flash |
|
65.07 |
| 27 | Grok 4.7 |
|
64.90 |
| 28 | DeepSeek-V4-Pro |
|
64.24 |
| 29 | Muse Spark 1.3 |
|
63.26 |
| 30 | Kimi K3 |
|
62.79 |
| 31 | GPT-5.6 Terra |
|
62.53 |
| 32 | GLM-5.1 |
|
62.43 |
| 33 | GLM-5.2 |
|
62.06 |
| 34 | GPT-6 Luna |
|
61.63 |
| 35 | Qwen3.8 |
|
61.50 |
| 36 | GPT-5.5 |
|
61.24 |
| 37 | Qwen3.8 Flash |
|
60.87 |
| 38 | GPT-5.3 Codex |
|
60.87 |
| 39 | MiniMax M3.1 Flash |
|
60.14 |
| 40 | DeepSeek-V4-Flash |
|
59.81 |
| 41 | GLM-5.3 |
|
59.50 |
| 42 | Claude Sonnet 5 |
|
59.46 |
| 43 | Grok 4.6 |
|
59.26 |
| 44 | GPT-5.4 |
|
58.80 |
| 45 | Qwen3.8-Flash-Next |
|
58.19 |
| 46 | Gemini 3.8 Flash |
|
57.91 |
| 47 | MiMo-V2.5 |
|
57.74 |
| 48 | Qwen3.6 Plus |
|
56.70 |
| 49 | Qwen3.5-397B-A17B |
|
55.83 |
| 50 | GLM-5 |
|
55.13 |
| 51 | GPT-5.4 mini |
|
54.43 |
| 52 | Ling 3.0 Flash |
|
54.43 |
| 53 | GPT-5.2 Codex |
|
54.43 |
| 54 | GLM-5V-Turbo |
|
53.57 |
| 55 | Grok 4.5 |
|
53.28 |
| 56 | Muse Spark 1.1 |
|
53.21 |
| 57 | GLM-5.3-Flash |
|
52.87 |
| 58 | Kimi K2.5 |
|
52.35 |
| 59 | GPT-5.2 Pro |
|
52.35 |
| 60 | MiniMax M2.1 |
|
52.00 |
| 61 | Claude Opus 4.5 |
|
51.65 |
| 62 | Gemini 3 Flash |
|
51.65 |
| 63 | Gemini 3.7 Flash |
|
51.55 |
| 64 | MiniMax M2.5 |
|
51.30 |
| 65 | Claude Sonnet 4.5 |
|
50.78 |
| 66 | Seed 2.0 Pro |
|
50.61 |
| 67 | Qwen3.7 |
|
50.36 |
| 68 | GPT-5.6 Luna |
|
50.35 |
| 69 | MiMo-V2-Pro |
|
50.26 |
| 70 | Qwen3.6-27B |
|
49.04 |
| 71 | Hy3 |
|
48.80 |
| 72 | Kimi K2 |
|
48.52 |
| 73 | MiniMax M2.7 |
|
48.35 |
| 74 | Muse Spark Open |
|
48.25 |
| 75 | Qwen3.5-122B-A10B |
|
48.17 |
| 76 | Gemini 3.5 Flash-Lite |
|
48.17 |
| 77 | Step-3.5-Flash |
|
47.83 |
| 78 | Qwen3.8-27B |
|
47.75 |
| 79 | Gemini 3 Pro |
|
47.65 |
| 80 | Muse Spark |
|
46.61 |
| 81 | Qwen3.5-27B |
|
46.61 |
| 82 | GPT-5.2 |
|
46.43 |
| 83 | Qwen3.7-Plus |
|
46.25 |
| 84 | Claude Sonnet 4.6 |
|
44.72 |
| 85 | Step 3.7 Flash |
|
44.35 |
| 86 | MiMo-V2.5-Pro |
|
44.02 |
| 87 | Qwen3 VL 235B A22B |
|
43.83 |
| 88 | LongCat-Flash |
|
43.48 |
| 89 | Qwen3 VL 32B |
|
43.48 |
| 90 | Mistral Large 4 |
|
43.44 |
| 91 | Claude Opus 4.1 |
|
43.30 |
| 92 | Gemini 3.1 Pro |
|
43.25 |
| 93 | Gemma 4 26B-A4B |
|
43.13 |
| 94 | Qwen3.5-35B-A3B |
|
43.13 |
| 95 | Qwen3-Next-80B-A3B |
|
42.26 |
| 96 | DeepSeek-V3.2 |
|
41.91 |
| 97 | Qwen3.6-35B-A3B |
|
41.57 |
| 98 | GPT-5.4 nano |
|
40.87 |
| 99 | Qwen3 235B A22B |
|
40.87 |
| 100 | DeepSeek-V3.2-Speciale |
|
40.00 |