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Best LLM for agents: AA Agentic Index ranking

Claude Fable 5.1 leads
57.9
models measured
87
lead over #2
+1.4
median
18.5

Leader on AA Agentic Index · read October 20

As of October 20, 2026, Anthropic Claude Fable 5.1 leads agents with 57.9 on AA Agentic Index, ahead of Anthropic Claude Opus 5 (56.5) and Qwen3.8 Max (0902) (56.0). This ranking is one public board, shown as published, and is not part of the Vibe Coding Index.

87 models on AA Agentic Index, higher is better

Original board: Artificial Analysis (via OpenRouter)
Best LLM for agents: AA Agentic Index ranking
Rank Model AA Agentic Index Evidence Coding index Output $/Mtok
1
Claude Fable 5.1 Anthropic
57.9
89.1 $50.00
2
Claude Opus 5 Anthropic
56.5
81.8 $25.00
3
56.0
63.5 $6.00
4
55.5
79.7 $4.25
5
GLM 5.3 Z.ai
53.1
73.1 $1.40
6
Grok 4.6 xAI
53.0
76.4 $6.00
7
GPT-6 Astra OpenAI
51.0
88.7 $50.00
8
50.9
71.0 $0.16
9
Claude Fable 5 Anthropic
50.7
82.1 $50.00
10
GPT-5.6 Sol OpenAI
50.2
76.7 $20.00
11
50.1
Not benchmarked $6.00
12
Kimi K3 Moonshot AI
50.0
61.8 $11.936
13
47.5
37.6 $0.6468
14
45.8
73.6 $2.20
15
Claude Sonnet 5 Anthropic
43.6
63.5 $10.00
16
43.2
65.1 $4.25
17
GPT-5.6 Terra OpenAI
43.2
69.0 $12.00
18
GPT-5.6 Luna OpenAI
42.1
61.5 $1.20
19
Claude Opus 4.8 Anthropic
41.9
66.0 $25.00
20
41.3
54.6 $1.98
21
Grok 4.5 xAI
41.2
75.5 $6.00
22
41.0
Not benchmarked $1.32
23
40.2
70.5 $4.125
24
Claude Opus 4.7 Anthropic
38.6
51.1 $25.00
25
GLM 5.2 Z.ai
38.4
57.7 $2.42
26
GPT-5.5 OpenAI
36.4
67.8 $30.00
27
Claude Sonnet 4.6 Anthropic
31.8
57.8 $15.00
28
MiniMax M3 MiniMax
29.5
57.8 $1.20
29
29.0
48.3 $3.75
30
Ling 3.0 Flash VL inclusionAI
28.7
Not benchmarked $0.18
31
26.3
54.6 $0.182
32
26.3
35.3 $1.9105
33
25.8
48.9 $4.25
34
Hy3 preview Tencent
24.1
22.4 $0.60
35
GLM 5.1 Z.ai
23.9
44.0 $3.036
36
T Inkling Small Thinking Machines
23.5
29.9 $1.20
37
22.5
45.1 $4.425
38
T Inkling Thinking Machines
22.5
49.7 $4.05
39
MiMo-V2.5-Pro Xiaomi
21.3
40.0 $0.87
40
Kimi K2.7 Code Moonshot AI
21.0
39.1 $3.35
41
Kimi K2.6 Moonshot AI
20.5
44.2 $3.41
42
20.1
Not benchmarked $2.40
43
Ling 3.0 Flash inclusionAI
19.3
Not benchmarked $0.063
44
18.5
Not benchmarked $2.00
45
GPT-5.4 Mini OpenAI
17.9
28.2 $4.50
46
17.5
Not benchmarked $1.28
47
GPT-5.4 Nano OpenAI
16.0
Not benchmarked $1.25
48
Claude Sonnet 4.5 Anthropic
15.8
59.1 $15.00
49
MiMo-V2.5 Xiaomi
15.8
34.0 $0.28
50
Grok 4.3 xAI
15.5
22.5 $2.50
51
MiniMax M2.7 MiniMax
15.3
28.4 $1.20
52
14.3
33.6 $2.50
53
LongCat 2.0 Meituan
14.0
Not benchmarked $1.20
54
13.1
Not benchmarked $0.95
55
8.5
Not benchmarked $1.20
56
8.2
35.3 $12.00
57
Claude Haiku 4.5 Anthropic
8.0
49.8 $5.00
58
Mistral Medium 3.5 Mistral AI
7.0
9.2 $7.50
59
6.8
Not benchmarked $1.00
60
Gemma 4 31B Google
4.2
38.3 $0.40
61
gpt-oss-120b OpenAI
3.7
34.5 $0.60
62
3.5
Not benchmarked $0.20
63
2.9
22.8 $0.255
64
Devstral 2 2512 Mistral AI
2.3
53.8 $2.00
65
Mistral Medium 3.1 Mistral AI
1.9
Not benchmarked $2.00
66
1.7
Not benchmarked $0.45
67
1.6
37.0 $10.00
68
1.6
8.1 $1.50
69
Mercury 2 Inception
1.6
0.0 $0.75
70
Solar Pro 3 Upstage
1.4
Not benchmarked $0.60
71
Granite 4.2 8B IBM Granite
1.3
Not benchmarked $0.25
72
1.3
Not benchmarked $3.50
73
1.1
Not benchmarked $0.20
74
1.0
5.4 $0.80
75
Command A Cohere
1.0
Not benchmarked $10.00
76
1.0
Not benchmarked $1.50
77
1.0
Not benchmarked $0.24
78
o3 Mini High OpenAI
0.9
Not benchmarked $4.40
79
0.9
Not benchmarked $0.80
80
DeepSeek V3 0324 DeepSeek
0.8
42.0 $1.14
81
Ministral 3 3B 2512 Mistral AI
0.8
Not benchmarked $0.10
82
Mistral Small 4 Mistral AI
0.8
Not benchmarked $0.60
83
Llama 4 Maverick Meta Llama
0.6
18.1 $0.6525
84
Ministral 3 8B 2512 Mistral AI
0.6
Not benchmarked $0.15
85
Llama 4 Scout Meta Llama
0.5
9.1 $0.30
86
Gemma 3 12B Google
0.1
Not benchmarked $0.15
87
Gemma 3 27B Google
0.1
4.9 $0.35

What this measures

Can the model carry a task over several steps, calling tools along the way?

The agentic part of the Artificial Analysis evaluations: tasks where the model acts over several steps with tools, combined into one score from 0 to 100.

Read from Artificial Analysis (via OpenRouter) on October 20, 2026. Each model appears once with its best published setting; rows that match no model in our catalog are left out. AA Agentic Index benchmark page

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