Overview
The Seed2.0 series model has been officially released, offering three general-purpose agent models of varying sizes—Pro, Lite, and Mini. The general-purpose models in this series deliver a comprehensive upgrade in multimodal understanding, with strengthened LLM and Agent capabilities that enable steady progression in real-world long-horizon tasks. Seed2.0 further expands its capability frontier from competition-level reasoning to research-grade tasks, achieving first-tier industry performance in evaluations on high economic-value and high scientific-value workloads.
Seed2.0 Pro
Focuses on long-chain reasoning and robustness in complex workflows. Optimized for complex scenarios in real-world tasks.
Seed2.0 Lite
Balances output quality and response speed.
Ideal as a general-purpose, production-grade model.
Seed2.0 Mini
Optimized for inference throughput and deployment density. Designed for high concurrency and batch generation scenarios.
Model Performance
Seed2.0 delivers significant enhancements in visual reasoning and perception, and achieves SOTA performance on benchmarks, such as MathVision. For dynamic scenarios, Seed2.0 strengthens its understanding of temporal sequences and motion perception, achieving a leading position in key benchmarks such as MotionBench. Seed2.0 further enhances its instruction-following capabilities and achieves top-tier industry performance when evaluated on complex Agent capabilities.
Multimodal Visual Understanding and Interactive Applications
Seed2.0 can process complex visual inputs and enable real-time interaction and app generation. Whether extracting structured information from images or generating interactive content via visual inputs, Seed2.0 handles tasks fast and reliably.
Steady progression on sophisticated professional tasks
Seed2.0 significantly enhances the performance of its LLM and Agent, maintaining high stability and reliability when executing long-horizon, multi-step instructions.
Evaluation Results
Seed2.0 demonstrates comprehensive improvements over Seed1.8 in LLM, VLM, and Agent task evaluations, and particularly excels in reasoning, complex instruction execution, and multimodal understanding.
Swipe right to view all model evaluation results.
Science
MMLU-Pro
87
87.7
83.6
85.9
84.1
88
89.3
90.1
87.8
HLE (no tool, text only)
32.4
28.2
13.3
29.9
17.6
14.5
23.7
33.3
31.7
SimpleQA Verified
36
24
18.9
36.8
26
29.3
48.6
72.1
65.4
HealthBench
57.7
51.2
30
63.3
62.5
28.7
36.3
37.9
51.6
HealthBench - Hard
29.1
20
15.3
42.0
38.6
10.9
11
15
21.5
SuperGPQA
68.7
67.5
61.6
67.9
60.5
65.5
70.6
73.8
72.7
LPFQA
52.6
50.9
47.2
54.4
50.7
54.9
52.6
51.2
51.6
Encyclo-K
65.7
64.5
52.1
61
53
58
63.3
64.9
60
Math
AIME 2026
94.2
88.3
86.7
93.3
92.5
82.5
92.5
93.3
93.3
AIME 2025
98.3
93
87
99
90.3
87
91.3
95
95.2
HMMT Feb 2025
97.3
90
70
100
93.3
79.2
92.9
97.3
100
HMMT Nov 2025
93.3
86.7
80
100
96.7
81.7
93.3
93.3
96.7
MathArenaApex
20.3
4.7
4.2
18.2
2.1
1
1.6
24.5
17.7
MathArenaApex (shortlist)
82.1
52.6
31.1
80.1
43.4
26
47.4
71.4
71.9
BeyondAIME
86.5
76
69
86
72
57
69
83
82
IMOAnswerBench (no tool)
89.3
81.6
71.6
86.6
72.1
60.7
72.6
83.3
84.4
Code
Codeforces
3020
2233
1644
3148
1985
1485
1701
2726
2727
AetherCode
60.6
41.5
29.8
73.8
42.6
16.4
31.6
57.8
56.1
LiveCodeBench (v6)
87.8
81.7
64.1
87.7
62.6
64
84.8
90.7
84.7
STEM
GPQA Diamond
88.9
85.1
79
92.4
82.1
84.3
86.9
91.9
90.7
Superchem (text-only)
51.6
48
16.2
58
34.8
32.4
43.2
63.2
54.4
BABE
50
50.2
40.4
58.1
49.2
44.7
49.3
51.3
55.2
Phybench
74
73
56
74
60
48
69
80
77
FrontierSci-research
25
18.3
3.3
25
18.3
16.7
21.7
15
11.7
FrontierSci-olympiad
74
70
44
75
69
60
71
73
73
General Reasoning
ARC-AGI-1
85.4
75.7
43.3
89.9
54.5
70.9
84
85
86.9
ARC-AGI-2
37.5
14.8
2.3
57.5
3.5
13.6
29.1
31.1
34.3
KORBench
77.5
77
72.8
79.2
74.2
73
77.4
73.9
76
ProcBench
96.6
92.4
80.1
95
87.5
87.5
92.5
90
90
Long Context Performance
MRCR v2 (8-needle)
54
33.6
51.4
89.4
50.1
47.1
56.2
79.7
79
Graphwalks Bfs (<128k)
68.9
82.5
64.1
98
85.5
80.5
92
79.9
84.2
Graphwalks Parents (<128k)
97.6
100
93
99.7
96.6
99
96.2
99.7
99.7
LongBench v2 (128k)
63.8
59.6
52.3
63.2
56.7
62
65
67.4
64
Frames
84.5
83.4
80.5
84
82.9
78.7
84.7
81.9
83.7
DeR2 Bench
58.2
57.3
46.6
69
50.3
58.9
60.4
66.1
66
CL-Bench
20.8
20
14.8
23.9
25.2
18.1
22.6
15.6
16.1
Multilingual
Global PIQA
92.3
92.1
89.2
93.2
91.6
93.9
93.9
95
95.6
MMMLU
88.1
87.7
81.6
90.3
86.3
89.9
91
91.8
91.8
Disco-X
82
80.3
73
76.3
67.7
70.3
78.6
76.8
71.9
Instruction Following
MultiChallenge
68.3
63.2
61.1
59.5
59
57.3
59
68.7
69.3
COLLIE
93.9
94
91.2
96.9
97.4
77.3
79.8
95
96.5
MARS-Bench
85.6
80.5
62.4
87.9
66.1
72.9
87.7
85.6
84.6
Inverse IFEval
78.9
77.1
69.3
72.3
74.8
69.3
72.4
79.6
80.9
Hallucination
LongFact-Objects
92.9
92.2
87
99.2
99.2
98.8
99
98.1
97.9
LongFact-Concepts
92.8
92.4
91.4
99.7
99.5
98.5
98.8
98.5
98.6
FactScore
71.2
62.4
50.4
91.9
96.1
90.6
91.1
92.6
92
Multimodal Math
MathVista
89.8
89
85.5
83.1
87.7
-
80.6
89.8
-
MathVision
88.8
86.4
78.1
86.8
81.3
-
74.3
86.1
-
DynaMath
68.9
70.5
58.9
70.1
61.5
-
52.5
63.3
-
MathKangaroo
90.5
86.3
79.8
86.9
73.8
-
69.6
84.4*
-
MathCanvas
61.9
61.1
53.2
55.3
53.6
-
52.9
58.8
-
Multimodal STEM
MMMU
85.4
83.7
79.7
83.7
83.4
-
81.6
87
-
MMMU-Pro
78.2
76
71.4
79.5*
73.2
-
70.8
81.0*
-
EMMA
72
65.5
57
69.4
60.9
-
60.4
66.5
-
SFE
55.6
53.4
48.4
50.1
51.2
-
55.8
61.9
-
HiPhO
74.1
72.5
55.8
77.7
58.3
-
81.8
79.1
-
XLRS-Bench (macro)
54.6
53.7
49.9
49.9
39.9
-
50.4
51.7
-
PhyX (openended)
72.1
62.8
65
71.5
65.9
-
61.3
71
-
Visual Puzzles
LogicVista
81.9
79.6
73.8
81
78.3
-
68.9
80.8
-
VPCT
76
73
48
56
61
-
29
90
-
ZeroBench (main)
12
8
7
11
11
-
4
10
-
ZeroBench (sub)
47.6
42.2
36.2
38.9
37.7
-
30.8
42.2
-
ArcAGI1-Image
88.8
80.9
29.8
93.1
31.4
-
75.8
69.4
-
ArcAGI2-Image
43.3
28.3
1.5
54.4
1.3
-
26.1
21.5
-
VisuLogic
47.4
47.3
40.4
37
35.8
-
27.6
39
-
Perception & Recognition
VLMsAreBiased
77.4
74.8
58.4
28
62
-
21.4
50.6*
-
VLMsAreBlind
98.6
97
93.1
84.2
93
-
77.2
97.5
-
VisFactor
36.8
33.4
23.6
33.6
20.4
-
24.5
45.8
-
RealWorldQA
86
81.7
81.6
82.1
78
-
75.9
84.7
-
BabyVision
60.6
57.5
38.7
37.4
30.2
-
16.2
49.7*
-
General VQA
SimpleVQA
71.4
67.2
68.7
54.1
65.4
-
57.9
69.7
-
HallusionBench
68
66
65.1
67.7
63.9
-
65.3
69.9
-
MME-CC
57
50.2
40.8
44.4
43.4
-
25.2
56.9
-
MMStar
83
80.7
79.1
78.2
79.9
-
73.9
83.1
-
MUIRBench
81.8
76.2
78
77.4
78.7
-
78.9
78.2
-
MTVQA
51.1
51.1
50.6
48.5
47.3
-
53.1
50.8
-
WorldVQA
49.9
44
47.6
26.3
40.4
-
36.6
47.5
-
VibeEval
81.4
76.5
76.5
73.1
74
-
70.3
77.7
-
ViVerBench
75.9
80
73.9
74.8
74.6
-
72.4
75.9
-
Pointing & Counting
CountBench
95.5
97.1
95.5
91.2
96.3
-
90.3
97.3
-
FSC-147↓
11.3
11.9
17.3
21.1
13.6
-
20.9
12.1
-
Point-Bench
81.4
79
77
-
76.5
-
-
85.5*
-
2D & 3D Spatial Understanding
BLINK
79.5
75.6
73.4
70.3
74.3
-
68.1
77.1
-
MMSIBench (circular)
32.5
28.3
19.7
26.1
25.8
-
20.2
25.4
-
TreeBench
64.7
64.2
57.3
58.8
58.5
-
53.6
62.7
-
RefSpatialBench
72.6
66.4
55.6
25.5
56.3
-
-
65.5*
-
DA-2K
92.3
90.3
86.4
78.9
90.7
-
70.3
82.1
-
All-Angles
72.1
65.2
61.3
71.5
61.6
-
63.1
73.5
-
ERQA
68.5
65.8
56.3
59.8
58.8
-
48.3
70.5*
-
Document & Chart Understanding
ChartQAPro
71.2
70.3
65.2
67.6
63
-
-
69
-
OCRBenchv2
62.5
62.4
58.5
55.6
52.6
-
55.5
63.3
-
OmniDocBench 1.5 ↓
0.099
0.102
0.11
0.143*
0.106
-
0.153
0.115*
-
CharXiv-DQ
93.5
93.3
91.9
93.8
88
-
92.7
94.4
-
CharXiv-RQ
80.5
79.9
70.8
82.1*
71.4
-
65.5
81.4*
-
Multimodal LongContext Understanding
DUDE
72.4
72.1
68.9
68.2
69.4
-
55.6
70.1
-
MMLongBench
74.8
70.8
66.7
-
72.4
-
-
73.6
-
LongDocURL
74.7
75.1
71.3
-
74.5
-
-
72
-
MMLongBench-Doc
61.4
55.1
48.9
-
57
-
-
59.5
-
Video Knowledge
VideoMMMU
86.9
84.1
80.6
82.7
87.6*
88.1
74.4
-
-
MMVU
78.2
75
69
73.1
76.3
77.9
49.7
-
-
VideoSimpleQA
71.9
66.6
67.7
67.8
71.9
70.7
-
-
-
Video Reasoning
VideoReasonBench
77.8
64.2
40.5
52.8
59.5
61.2
73.8
-
-
Morse-500
37.4
32.2
32.2
29.2
33
32.4
55.4
-
-
VideoHolmes‡
67.4
63.8
58.6
65.5
64.2
65.6
-
-
-
Minerva‡
66.5
63.8
54.7
62.4
65
64.4
-
-
-
Motion & Perception
TVBench
75
71.5
70.5
71.5
71.1
69.6
94.8
-
-
ContPhy
67.4
56.1
55.9
54.9
58
60.5
-
-
-
TempCompass
89.6
87
83.7
86.9
88
88.3
97.3
-
-
EgoTempo
71.8
61.8
67.2
67
65.4
58.4
63.2
-
-
MotionBench
75.2
70.9
64.4
70.6
70.3*
68.9
-
-
-
TOMATO
59.9
57.3
47.4
60.8
59.6
60.8
95.2
-
-
+ Thinking with Tracking
65.3
59.2
51.3
61
-
64
95.2
-
-
Long Video
VideoMME‡
89.5
87.7
81.2
87.8
88.4*
85.2
-
-
-
CGBench
65
59.3
59.2
62.4
65.5
65.3
-
-
-
LongVideoBench
80.3
77.3
74.8
77.4
76.7
74.5
-
-
-
VideoEval-Pro
48
44.3
43.7
45.9
52.7
51.9
-
-
-
LVBench
76.4
73
66.6
73
-
-
-
-
-
Multi Video
CrossVid
60.3
57.7
58.6
57.3
53
48.7
89.2
-
-
Streaming Video
OVBench
69.2
65.5
60.1
65.1
62.7
59.2
-
-
-
LiveSports-3K
78
77.8
73.3
77.5
74.5
71.5
-
-
-
OVOBench
77
76.7
70.4
72.6
70.1
68.7
92.8
-
-
ODVBench
72.5
69.6
65.1
63.5
63.6
56.7
91.4
-
-
ViSpeak
78.5
84
77.5
79
89
86
96
-
-
Coding Agent
Terminal Bench 2.01
55.8
45
36.9
62.4
45.2
60.2
56.9
60
-
SWE-Lancer
49.4
47.1
43.1
48.9
45.7
56.1
44.3
51.7
-
SWE Bench Verified
76.5
73.5
67.9
80
77.2
80.9
76.2
78
-
Multi-SWE-Bench
45.2
41.1
49.3
47.7
47.7
52.8
50.2
59
-
SWE-Bench Pro
46.9
46
51.7
55.6
48.4
55.4
49.7
46.7
-
SWE Multilingual
71.7
64.4
63.8
68.8
64.1
74
72.7
71.1
-
Scicode
48.5
52.4
40.2
49.7
47.9
52.8
57.7
55
-
SWE-Evo
8.5
10.6
10.4
12.5
16.7
27.1
8.9
12.8
-
Aider Polyglot
80
76
79.1
91.1
82.2
92.4
94.2
92
-
ArtifactsBench
66.6
62.6
68.9
71.1
59.1
68.5
58.4
52.5
-
CodeSimpleQA
58
53.1
57.6
62.3
59.6
63
54.7
53.7
-
SpreadsheetBench Verified
79.1
82.3
58.1
69.9
75.9
78.6
70.8
65.7
-
Search Agent
BrowseComp
77.3
72.1
48.1
77.9（65.3）
43.9（29.5）
67.8（57.2）
59.2
41.5
-
BrowseComp-zh
82.4
82
49.5
76.1
42.4
62.4
66.8
63
-
HLE-text
54.2
49.5
35.8
45.5
32
43.2
46.9
47.6
-
HLE-Verified
73.6
70.7
56.4
68.5
37.6
56.6
67.5
71.8
-
WideSearch
74.7
74.5
37.7
76.8
65.1
76.2（71.7）
67.3
64
-
FinSearchComp
70.2
65.1
38.1
73.8
58.6
66.2
52.7
54.8
-
DeepSearchQA
77.4
67.7
16.7
71.3（66.4）
36.3
（76.1）41.6
63.9
54.7
-
Seal-0
49.5
52.3
34.2
51.4
53.4
47.7
45.5
37.8
-
Tool Use
τ2-Bench (retail)
90.4
90.9
-
82
86.2
88.9
85.3
88.6
-
τ2-Bench (telecom)
94.2
92.1
-
98.7
98
98.2
98
94.7
-
MCP-Mark
54.7
46.7
30.2
57.5
32.1
42.3
53.9
40.5
-
BFCL-v4
73.4
72.9
57.9
65.9
72.9
76.5
71
65
-
VitaBench
47
41.8
20.8
41.8
40.8
55.3
48.8
46.7
-
Deep Research
DeepConsult
61.1
60.3
49.8
54.3
55.8
61
48
26
-
DeepResearchBench
53.3
54.4
50.7
52.2
47.2
50.6
49.6
46.1
-
ResearchRubrics
50.7
50.8
43.6
42.3
38.6
45
37.7
36.9
-
Vision Agent
Minedojo Verified
49
39.7
20.3
18.3
-
-
23.3
24.3
-
MM-BrowseComp
48.8
45.1
17.9
26.3
-
-
25
22.8
-
HLE-VL
39.2
35.8
18.7
31
-
-
36
36.8
-
Science Discovery
Scicode
52.1
52.4
40.2
49.7
47.9
52.8
57.7
55
-
FrontierSci-research
23.3
18.3
18.3
25
16.7
21.7
15
11.7
-
Superchem (text-only)
53
48
34.8
58
32.4
43.2
63.2
54.4
-
BIObench
53.5
50.2
49.2
58.1
44.7
49.3
51.3
55.2
-
AInstein Bench
47.7
38.3
35
41.3
33.7
44
42.8
44
-
Vibe Coding
NL2Repo-Bench
27.9
24.6
19.5
49.3
39.9
43.2
34.2
27.6
-
NL2Repo (Pass@1)
3
1
2
8
3
3
4
2
-
ArtifactsBench
66.6
62.6
68.9
71.1
59.1
68.5
58.4
52.5
-
SWE-Bench Pro
46.9
46
51.7
55.6
48.4
55.4
49.7
46.7
-
Terminal Bench 2.01
55.8
45
36.9
62.4
45.2
60.2
54.2
60
-
Context Learning
KORBench
77.2
77
74.2
79.2
73
77.4
73.9
76
-
DeR2 Bench
58.2
57.3
50.3
69
58.9
60.4
66.1
66
-
CL-Bench
21.5
20
25.2
23.9
18.1
22.6
15.6
16.1
-
ToB-Complex Workflows
64.7
68.2
53.4
45
61
64.8
69.2
64.9
-
ToB-Reference Q&A
72.4
62
42.5
63.6
58.9
67.9
68.3
61.3
-
Real World Tasks
HealthBench - Hard
28.3
20
38.6
36.6
10.9
11
15
21.5
-
GDPVal-Diamond
21.3
23.2
11.5
26.9
15.2
20.7
19.4
6.46
-
XPert Bench
64.5
63.3
47.6
53.3
44.7
50.5
53.1
50.1
-
ToB-K12 Education
62.8
63.8
53.7
61.6
50.1
56.2
59.4
59
-
ToB-Compositional Tasks
59.1
54.8
47.5
51.5
57.3
63.6
64.8
57.7
-
ToB-Text Classification
69
64.5
52.7
62.1
64.5
63.9
67.5
61.9
-
ToB-Information Extraction
52
48.4
40.5
44.7
48.3
50.1
49
45.4
-
World Travel (VLM)
12
14
2.7
19.33
2.67
14
8
7.3
-
World Travel (TEXT)
23.3
24
15.3
32.67
10
21.3
14.7
13.3
-
Results marked with an ∗ are sourced from the technical report.
For benchmarks marked with a ‡, we include subtitles for evaluation.
1 Using Terminus2.