Claude Opus 4 vs DeepSeek V3.2

Change models
Claude Opus 4Anthropic
IndexAll categories, out of 100.
43.9 ±5.3
44.2 ±4.9 best
GapIndex points below the top.
−0.3 · no clear gap
Top
CoverageIndex weight that has results.
90% best
85%
SpeedOutput tokens per second.
—
19/s
EloLMArena rating and rank.
1366
1425 best
ReleasedMonth of release.
—
2025-12
Input / 1MUS dollars per 1M input tokens.
—
$0.26
Output / 1MUS dollars per 1M output tokens.
—
$0.38
1K chats2K tokens in, 500 out, each.
—
$0.71
1K documents20K tokens in, 1K out, each.
—
$5.58
1K agent tasks200K tokens in, 20K out, each.
—
$59.60
ContextMaximum tokens in one request.
—
164K
AgenticMulti-step tasks with tools.
49.6 best
43.1
CodingCode writing and repair.
47.3
48.8 best
ReasoningLogic problems and puzzles.
38.6
42.9 best
MultimodalTasks with images and text.
50.6
—
KnowledgeFacts and expert knowledge.
48.2 best
43.2
MultilingualTasks in many languages.
—
—
InstructionTasks with strict prompt rules.
—
34.8
MathMath problems.
39.4
46.8 best

Benchmarks

17 shared
Only Claude Opus 4: 8Only DeepSeek V3.2: 21
Claude Opus 4
DeepSeek V3.2
72.7%109 / 217
77.3% best96 / 217
60.0%112 / 200
68.4% best103 / 200
83.1% best58 / 149
66.0%135 / 149
62.6%103 / 142
69.9% best91 / 142
71.7%90 / 135
76.3% best78 / 135
MMLU ProKnowledge
86.2% best45 / 135
83.1%74 / 135
1.3%103 / 131
4.0% best86 / 131
22.5%103 / 126
57.0% best71 / 126
1.3%91 / 122
3.9% best76 / 122
35.5%92 / 116
61.6% best67 / 116
AIMEMath
41.3%69 / 95
64.8% best55 / 95
MedQAHealthcare
92.9% best27 / 95
89.5%51 / 95
MGSMMultilingual
93.8% best8 / 74
90.9%31 / 74
4.3%48 / 69
22.1% best27 / 69
2.1%35 / 55
2.1%35 / 55
81.4% best8 / 23
81.1%9 / 23
59.6%14 / 22
63.8% best11 / 22