DeepSeek V3.2 (Thinking) vs MiniMax M2.1

Change models
IndexAll categories, out of 100.
49.4 ±8.6 best
49.1 ±8.9
GapIndex points below the top.
Top
−0.3 · no clear gap
CoverageIndex weight that has results.
65%
65%
SpeedOutput tokens per second.
—
34/s
EloLMArena rating and rank.
1420
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ReleasedMonth of release.
2025-12
2025-12
Input / 1MUS dollars per 1M input tokens.
$0.55
$0.30 best
Output / 1MUS dollars per 1M output tokens.
$2.19
$1.20 best
1K chats2K tokens in, 500 out, each.
$2.20
$1.20 best
1K documents20K tokens in, 1K out, each.
$13.19
$7.20 best
1K agent tasks200K tokens in, 20K out, each.
$153.80
$84.00 best
ContextMaximum tokens in one request.
128K
205K best
AgenticMulti-step tasks with tools.
47.7
48.5 best
CodingCode writing and repair.
49.2
51.6 best
ReasoningLogic problems and puzzles.
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MultimodalTasks with images and text.
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—
KnowledgeFacts and expert knowledge.
51.2
51.7 best
MultilingualTasks in many languages.
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—
InstructionTasks with strict prompt rules.
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—
MathMath problems.
51.0 best
43.9

Benchmarks

15 shared
Only DeepSeek V3.2 (Thinking): 2Only MiniMax M2.1: 3
DeepSeek V3.2 (Thinking)
MiniMax M2.1
76.1% best112 / 149
75.4%115 / 149
TaxEval v2Finance
68.2% best100 / 143
66.4%112 / 143
80.7%65 / 142
81.8% best59 / 142
80.3% best66 / 135
78.5%72 / 135
MMLU ProKnowledge
84.9%59 / 135
87.0% best35 / 135
CorpFin v2Finance
51.0%105 / 131
58.9% best81 / 131
AIMEMath
84.6% best39 / 95
77.9%49 / 95
MedQAHealthcare
93.9% best20 / 95
91.2%40 / 95
SWE-benchCoding
67.6%69 / 87
74.8% best47 / 87
MGSMMultilingual
86.0%65 / 74
87.9% best56 / 74
36.0%41 / 66
37.1% best38 / 66
IOI v1Coding
10.7% best34 / 61
2.3%56 / 61
55.4%34 / 53
55.8% best32 / 53
2.3%49 / 51
33.4% best44 / 51
40.0%22 / 47
41.3% best18 / 47