MCPMark Leaderboard

Generated at 08/25/2025 16:02:00

Rank
Model
Pass@1 (avg ± std)
Filesystem
Github
Notion
Playwright
Postgres
Cost per run
🥇
OpenAI
gpt-5
gpt-5-2025-08-07
47.0 ± 5.1%
54.17%
26.09%
35.71%
45.00%
73.81%
$122.84
🥈
Claude
claude-4-1-opus
claude-opus-4-1-20250805
29.6 ± 0.0%
33.33%
21.74%
35.71%
24.00%
33.33%
$1137.02
🥉
Claude
claude-4-sonnet
claude-sonnet-4-20250514
27.6 ± 6.2%
27.50%
14.13%
20.54%
26.00%
50.00%
$240.77
#4
OpenAI
o3
o3-2025-04-16
25.0 ± 4.7%
35.83%
13.04%
24.11%
15.00%
36.90%
$105.60
#5
Qwen
qwen-3-coder
qwen3-coder-480b-a35b-instruct
18.7 ± 5.9%
10.00%
10.87%
13.39%
20.00%
39.29%
$32.91
#6
MoonshotAI
k2
kimi-k2-0711-preview
18.1 ± 5.7%
20.00%
7.61%
12.50%
11.00%
39.29%
$8.50
#7
Grok
grok-4
grok-4-0709
18.0 ± 5.1%
21.67%
0.00%
0.00%
10.00%
58.33%
-
#8
DeepSeek
deepseek-chat
deepseek-v3.1-non-think
16.3 ± 4.3%
15.83%
8.70%
10.71%
7.00%
39.29%
$17.01
#9
Gemini
gemini-2-5-pro
gemini-2.5-pro
12.2 ± 3.6%
16.67%
3.26%
0.00%
15.00%
26.19%
$137.33
• claude-opus only ran pass@1 evaluation
• grok-4 could not retrieve token information due to compatibility issues
MCP Server Analysis
Detailed performance analysis by MCP server with Pass@1/Pass@4/Pass^4 metrics
Filesystem
30 tasks
OpenAIBest: gpt-5Avg: 26.11%
Rank
Model
Pass@1(avg ± std)
Pass@4
Pass^4
Turns
Avg Time
Input Token
Output Token
Total Tokens
Cost
#1
OpenAI
gpt-5
54.17 ± 7.9%
73.33%
33.33%
10.8
275.6s
8,547,263
480,063
9,027,326
$15.48
#2
OpenAI
o3
35.83 ± 3.2%
50.00%
26.67%
28.8
277.9s
20,689,279
533,815
21,223,094
$41.65
#3
Claude
claude-4-1-opus
33.33 ± 0.0%
--
16.4
267.8s
8,164,979
130,994
8,295,973
$132.30
#4
Claude
claude-4-sonnet
27.50 ± 3.2%
50.00%
6.67%
16.0
193.1s
9,066,386
119,964
9,186,350
$29.00
#5
Grok
grok-4
21.67 ± 6.9%
43.33%
10.00%
8.3
205.5s
0
0
0
$0.00
#6
MoonshotAI
k2
20.00 ± 2.7%
30.00%
13.33%
20.1
220.4s
10,764,409
105,375
10,869,784
$1.83
#7
Gemini
gemini-2-5-pro
16.67 ± 2.7%
30.00%
6.67%
10.7
120.8s
5,423,379
204,018
5,627,397
$16.62
#8
DeepSeek
deepseek-chat
15.83 ± 1.7%
26.67%
6.67%
25.0
294.9s
14,346,942
103,297
14,450,239
$3.99
#9
Qwen
qwen-3-coder
10.00 ± 2.7%
16.67%
6.67%
23.7
145.2s
12,701,315
108,568
12,809,883
$3.97
Github
23 tasks
OpenAIBest: gpt-5Avg: 11.72%
Rank
Model
Pass@1(avg ± std)
Pass@4
Pass^4
Turns
Avg Time
Input Token
Output Token
Total Tokens
Cost
#1
OpenAI
gpt-5
26.09 ± 3.5%
39.13%
13.04%
9.3
262.9s
13,237,932
269,826
13,507,758
$19.25
#2
Claude
claude-4-1-opus
21.74 ± 0.0%
--
8.7
265.4s
12,759,916
58,089
12,818,005
$195.76
#3
Claude
claude-4-sonnet
14.13 ± 7.4%
26.09%
4.35%
9.3
163.5s
13,671,035
73,904
13,744,939
$42.12
#4
OpenAI
o3
13.04 ± 5.0%
21.74%
4.35%
9.0
127.5s
10,299,752
80,223
10,379,975
$20.64
#5
Qwen
qwen-3-coder
10.87 ± 5.6%
17.39%
4.35%
12.2
205.2s
22,919,181
59,828
22,979,009
$6.97
#6
DeepSeek
deepseek-chat
8.70 ± 3.5%
13.04%
4.35%
8.4
186.8s
7,209,638
44,836
7,254,474
$2.00
#7
MoonshotAI
k2
7.61 ± 5.5%
13.04%
0.00%
7.0
167.0s
6,828,953
31,452
6,860,405
$1.09
#8
Gemini
gemini-2-5-pro
3.26 ± 4.2%
13.04%
0.00%
2.9
66.4s
758,666
104,583
863,249
$3.47
#9
Grok
grok-4
0.00 ± 0.0%
0.00%
0.00%
0.0
30.4s
0
0
0
$0.00
Notion
28 tasks
ClaudeBest: claude-4-1-opusAvg: 16.96%
Rank
Model
Pass@1(avg ± std)
Pass@4
Pass^4
Turns
Avg Time
Input Token
Output Token
Total Tokens
Cost
#1
Claude
claude-4-1-opus
35.71 ± 0.0%
--
17.0
294.2s
17,865,599
110,144
17,975,743
$276.24
#2
OpenAI
gpt-5
35.71 ± 7.1%
53.57%
10.71%
13.4
563.5s
11,906,523
842,286
12,748,809
$23.31
#3
OpenAI
o3
24.11 ± 4.5%
46.43%
7.14%
13.7
171.4s
6,297,995
265,094
6,563,089
$12.73
#4
Claude
claude-4-sonnet
20.54 ± 4.5%
35.71%
7.14%
19.2
194.0s
17,216,629
114,937
17,331,566
$53.37
#5
Qwen
qwen-3-coder
13.39 ± 3.4%
28.57%
7.14%
20.4
158.8s
19,331,909
77,291
19,409,200
$5.92
#6
MoonshotAI
k2
12.50 ± 6.2%
25.00%
7.14%
16.1
166.0s
11,626,484
59,785
11,686,269
$1.86
#7
DeepSeek
deepseek-chat
10.71 ± 5.1%
25.00%
0.00%
17.7
241.0s
13,496,259
61,901
13,558,160
$3.71
#8
Gemini
gemini-2-5-pro
0.00 ± 0.0%
0.00%
0.00%
3.7
78.3s
1,672,113
128,673
1,800,786
$6.11
#9
Grok
grok-4
0.00 ± 0.0%
0.00%
0.00%
0.0
7.1s
0
0
0
$0.00
Playwright
25 tasks
OpenAIBest: gpt-5Avg: 19.22%
Rank
Model
Pass@1(avg ± std)
Pass@4
Pass^4
Turns
Avg Time
Input Token
Output Token
Total Tokens
Cost
#1
OpenAI
gpt-5
45.00 ± 2.0%
56.00%
32.00%
24.2
526.9s
43,213,151
468,088
43,681,239
$58.70
#2
Claude
claude-4-sonnet
26.00 ± 6.9%
36.00%
8.00%
19.8
278.5s
31,000,092
87,812
31,087,904
$94.32
#3
Claude
claude-4-1-opus
24.00 ± 0.0%
--
19.0
395.2s
28,651,348
72,107
28,723,455
$435.18
#4
Qwen
qwen-3-coder
20.00 ± 3.3%
36.00%
8.00%
23.8
305.9s
46,321,548
58,691
46,380,239
$13.98
#5
Gemini
gemini-2-5-pro
15.00 ± 2.0%
32.00%
4.00%
18.9
170.4s
41,872,356
137,247
42,009,603
$106.74
#6
OpenAI
o3
15.00 ± 6.0%
32.00%
8.00%
16.3
153.9s
13,907,589
111,501
14,019,090
$27.87
#7
MoonshotAI
k2
11.00 ± 5.0%
16.00%
4.00%
17.8
221.6s
18,241,189
40,933
18,282,122
$2.82
#8
Grok
grok-4
10.00 ± 6.9%
28.00%
0.00%
10.5
130.2s
0
0
0
$0.00
#9
DeepSeek
deepseek-chat
7.00 ± 3.8%
16.00%
0.00%
18.9
283.4s
20,645,614
43,786
20,689,400
$5.62
Postgres
21 tasks
OpenAIBest: gpt-5Avg: 44.05%
Rank
Model
Pass@1(avg ± std)
Pass@4
Pass^4
Turns
Avg Time
Input Token
Output Token
Total Tokens
Cost
#1
OpenAI
gpt-5
73.81 ± 4.8%
95.24%
38.10%
12.5
272.3s
2,150,910
342,135
2,493,045
$6.11
#2
Grok
grok-4
58.33 ± 11.9%
76.19%
23.81%
18.3
171.6s
0
0
0
$0.00
#3
Claude
claude-4-sonnet
50.00 ± 9.1%
71.43%
28.57%
25.7
232.3s
6,557,887
152,035
6,709,922
$21.95
#4
DeepSeek
deepseek-chat
39.29 ± 7.1%
57.14%
28.57%
23.6
321.7s
5,937,546
82,749
6,020,295
$1.69
#5
MoonshotAI
k2
39.29 ± 9.0%
66.67%
28.57%
24.9
312.0s
5,023,324
77,999
5,101,323
$0.91
#6
Qwen
qwen-3-coder
39.29 ± 14.2%
61.90%
14.29%
27.3
159.0s
6,487,629
85,056
6,572,685
$2.07
#7
OpenAI
o3
36.90 ± 4.6%
66.67%
14.29%
10.7
75.6s
1,334,698
99,106
1,433,804
$2.72
#8
Claude
claude-4-1-opus
33.33 ± 0.0%
--
24.9
515.4s
5,474,339
205,732
5,680,071
$97.55
#9
Gemini
gemini-2-5-pro
26.19 ± 9.1%
47.62%
9.52%
6.5
93.1s
691,204
177,611
868,815
$4.39
Note: view the JSON below for detailed grade information.
*.json
JSON
{
  "generated_at": "2025-08-25T16:02:00.888958",
  "experiment_name": "consolidated-all-services-0823",
  "k": 4,
  "overall": {
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      "total_input_tokens": 72916181,
      "total_output_tokens": 577066,
      "total_tokens": 73493247,
      "total_turns": 2167,
      "avg_agent_execution_time": 339.2095,
      "avg_input_tokens": 574143.1575,
      "avg_output_tokens": 4543.8268,
      "avg_total_tokens": 578686.9843,
      "avg_turns": 17.063,
      "per_run_input_tokens": 72916181,
      "per_run_output_tokens": 577066,
      "per_run_cost": 1137.0227,
      "actual_model_name": "claude-opus-4-1-20250805",
      "pass@1": {
        "avg": 0.2962,
        "std": 0
      }
    },
    "claude-4-sonnet": {
      "total_tasks": 127,
      "total_agent_execution_time": 107301.59874916077,
      "total_input_tokens": 310048126,
      "total_output_tokens": 2194611,
      "total_tokens": 312242737,
      "total_turns": 9067,
      "avg_agent_execution_time": 211.2236,
      "avg_input_tokens": 610330.9567,
      "avg_output_tokens": 4320.1004,
      "avg_total_tokens": 614651.0571,
      "avg_turns": 17.8484,
      "per_run_input_tokens": 77512031,
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      "per_run_cost": 240.7659,
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      "pass@1": {
        "avg": 0.2763,
        "std": 0.0623
      },
      "pass@4": 0.4385,
      "pass^4": 0.1095
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    "deepseek-chat": {
      "total_tasks": 127,
      "total_agent_execution_time": 134924.74478578568,
      "total_input_tokens": 246544002,
      "total_output_tokens": 1346283,
      "total_tokens": 247890285,
      "total_turns": 9624,
      "avg_agent_execution_time": 265.5999,
      "avg_input_tokens": 485322.8386,
      "avg_output_tokens": 2650.1634,
      "avg_total_tokens": 487973.002,
      "avg_turns": 18.9449,
      "per_run_input_tokens": 61636000,
      "per_run_output_tokens": 336570,
      "per_run_cost": 17.0119,
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      "pass@1": {
        "avg": 0.1631,
        "std": 0.0425
      },
      "pass@4": 0.2757,
      "pass^4": 0.0792
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    "gemini-2-5-pro": {
      "total_tasks": 127,
      "total_agent_execution_time": 54243.50524830818,
      "total_input_tokens": 201670879,
      "total_output_tokens": 3008536,
      "total_tokens": 204679415,
      "total_turns": 4411,
      "avg_agent_execution_time": 106.7786,
      "avg_input_tokens": 396989.9193,
      "avg_output_tokens": 5922.315,
      "avg_total_tokens": 402912.2343,
      "avg_turns": 8.6831,
      "per_run_input_tokens": 50417719,
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      "pass@1": {
        "avg": 0.1222,
        "std": 0.036
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      "pass@4": 0.2453,
      "pass^4": 0.0404
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    "gpt-5": {
      "total_tasks": 127,
      "total_agent_execution_time": 195925.04424381256,
      "total_input_tokens": 316223124,
      "total_output_tokens": 9609603,
      "total_tokens": 325832727,
      "total_turns": 7131,
      "avg_agent_execution_time": 385.6792,
      "avg_input_tokens": 622486.4646,
      "avg_output_tokens": 18916.5413,
      "avg_total_tokens": 641403.0059,
      "avg_turns": 14.0374,
      "per_run_input_tokens": 79055781,
      "per_run_output_tokens": 2402400,
      "per_run_cost": 122.8437,
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      "pass@1": {
        "avg": 0.4696,
        "std": 0.0507
      },
      "pass@4": 0.6345,
      "pass^4": 0.2544
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    "grok-4": {
      "total_tasks": 127,
      "total_agent_execution_time": 55695.29113435747,
      "total_input_tokens": 0,
      "total_output_tokens": 0,
      "total_tokens": 0,
      "total_turns": 3580,
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      "avg_total_tokens": 0,
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      "pass@1": {
        "avg": 0.18,
        "std": 0.0515
      },
      "pass@4": 0.295,
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    },
    "k2": {
      "total_tasks": 127,
      "total_agent_execution_time": 108763.46826410294,
      "total_input_tokens": 209937443,
      "total_output_tokens": 1262180,
      "total_tokens": 211199623,
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      "pass@1": {
        "avg": 0.1808,
        "std": 0.0568
      },
      "pass@4": 0.3014,
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    },
    "o3": {
      "total_tasks": 127,
      "total_agent_execution_time": 86026.92910456657,
      "total_input_tokens": 210117262,
      "total_output_tokens": 4358963,
      "total_tokens": 214476225,
      "total_turns": 8351,
      "avg_agent_execution_time": 169.3443,
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        "avg": 0.2498,
        "std": 0.0465
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      "pass@4": 0.4337,
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    "qwen-3-coder": {
      "total_tasks": 127,
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      "total_input_tokens": 431046337,
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      "total_tokens": 432604081,
      "total_turns": 10940,
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        "avg": 0.1871,
        "std": 0.0585
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      "pass@4": 0.3211,
      "pass^4": 0.0809
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  },
  "filesystem": {
    "claude-4-1-opus": {
      "total_tasks": 30,
      "pass@1": {
        "avg": 0.3333,
        "std": 0
      },
      "total_agent_execution_time": 8033.295060634613,
      "total_input_tokens": 8164979,
      "total_output_tokens": 130994,
      "total_tokens": 8295973,
      "total_turns": 491,
      "avg_agent_execution_time": 267.7765,
      "avg_input_tokens": 272165.9667,
      "avg_output_tokens": 4366.4667,
      "avg_total_tokens": 276532.4333,
      "avg_turns": 16.3667,
      "per_run_input_tokens": 8164979,
      "per_run_output_tokens": 130994,
      "per_run_cost": 132.2992,
      "actual_model_name": "claude-opus-4-1-20250805"
    },
    "claude-4-sonnet": {
      "total_tasks": 30,
      "pass@1": {
        "avg": 0.275,
        "std": 0.0319
      },
      "pass@4": 0.5,
      "pass^4": 0.0667,
      "total_agent_execution_time": 23177.59760403633,
      "total_input_tokens": 36265545,
      "total_output_tokens": 479856,
      "total_tokens": 36745401,
      "total_turns": 1922,
      "avg_agent_execution_time": 193.1466,
      "avg_input_tokens": 302212.875,
      "avg_output_tokens": 3998.8,
      "avg_total_tokens": 306211.675,
      "avg_turns": 16.0167,
      "per_run_input_tokens": 9066386,
      "per_run_output_tokens": 119964,
      "per_run_cost": 28.9986,
      "actual_model_name": "claude-sonnet-4-20250514"
    },
    "deepseek-chat": {
      "total_tasks": 30,
      "pass@1": {
        "avg": 0.1583,
        "std": 0.0167
      },
      "pass@4": 0.2667,
      "pass^4": 0.0667,
      "total_agent_execution_time": 35387.34510588646,
      "total_input_tokens": 57387768,
      "total_output_tokens": 413190,
      "total_tokens": 57800958,
      "total_turns": 2996,
      "avg_agent_execution_time": 294.8945,
      "avg_input_tokens": 478231.4,
      "avg_output_tokens": 3443.25,
      "avg_total_tokens": 481674.65,
      "avg_turns": 24.9667,
      "per_run_input_tokens": 14346942,
      "per_run_output_tokens": 103297,
      "per_run_cost": 3.9873,
      "actual_model_name": "deepseek-v3.1-non-think"
    },
    "gemini-2-5-pro": {
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