Compare · ModelsLive · 2 picked · head to head
Kimi K2 Thinking vs MiniMax M2.5
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Kimi K2 Thinking wins on 10/17 benchmarks
Kimi K2 Thinking wins 10 of 17 shared benchmarks. Leads in reasoning · language · math.
Category leads
agentic·MiniMax M2.5coding·MiniMax M2.5reasoning·Kimi K2 Thinkinglanguage·Kimi K2 Thinkingmath·Kimi K2 Thinkingknowledge·MiniMax M2.5
Hype vs Reality
Attention vs performance
Kimi K2 Thinking
#79 by perf·no signal
MiniMax M2.5
#71 by perf·no signal
Best value
MiniMax M2.5
2.5x better value than Kimi K2 Thinking
Kimi K2 Thinking
34.4 pts/$
$1.55/M
MiniMax M2.5
84.8 pts/$
$0.65/M
Vendor risk
Mixed exposure
One or more vendors flagged
moonshotai
private · undisclosed
MiniMax
$4.0B·Tier 1
Head to head
17 benchmarks · 2 models
Kimi K2 ThinkingMiniMax M2.5
APEX-Agents
MiniMax M2.5 leads by +2.2
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Kimi K2 Thinking
4.0
MiniMax M2.5
6.2
LiveBench · Agentic Coding
MiniMax M2.5 leads by +13.3
Kimi K2 Thinking
38.3
MiniMax M2.5
51.7
LiveBench · Coding
MiniMax M2.5 leads by +3.3
Kimi K2 Thinking
67.4
MiniMax M2.5
70.7
LiveBench · Data Analysis
Kimi K2 Thinking leads by +2.7
Kimi K2 Thinking
52.3
MiniMax M2.5
49.6
LiveBench · If
Kimi K2 Thinking leads by +4.8
Kimi K2 Thinking
62.0
MiniMax M2.5
57.2
LiveBench · Language
Kimi K2 Thinking leads by +11.4
Kimi K2 Thinking
66.5
MiniMax M2.5
55.1
LiveBench · Mathematics
Kimi K2 Thinking leads by +3.7
Kimi K2 Thinking
81.1
MiniMax M2.5
77.4
LiveBench · Overall
Kimi K2 Thinking leads by +1.4
Kimi K2 Thinking
61.6
MiniMax M2.5
60.1
LiveBench · Reasoning
Kimi K2 Thinking leads by +4.2
Kimi K2 Thinking
63.5
MiniMax M2.5
59.3
OpenCompass · AIME2025
Kimi K2 Thinking leads by +7.9
Kimi K2 Thinking
94.1
MiniMax M2.5
86.2
OpenCompass · GPQA-Diamond
MiniMax M2.5 leads by +1.9
Kimi K2 Thinking
82.7
MiniMax M2.5
84.6
OpenCompass · HLE
MiniMax M2.5 leads by +0.9
Kimi K2 Thinking
21.3
MiniMax M2.5
22.2
OpenCompass · IFEval
Kimi K2 Thinking leads by +1.3
Kimi K2 Thinking
92.4
MiniMax M2.5
91.1
OpenCompass · LiveCodeBenchV6
Kimi K2 Thinking leads by +3.5
Kimi K2 Thinking
77.1
MiniMax M2.5
73.6
OpenCompass · MMLU-Pro
Kimi K2 Thinking leads by +2.6
Kimi K2 Thinking
84.3
MiniMax M2.5
81.7
PostTrainBench
MiniMax M2.5 leads by +2.3
Kimi K2 Thinking
7.3
MiniMax M2.5
9.5
Terminal Bench
MiniMax M2.5 leads by +6.5
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
Kimi K2 Thinking
35.7
MiniMax M2.5
42.2
Full benchmark table
| Benchmark | Kimi K2 Thinking | MiniMax M2.5 |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 4.0 | 6.2 |
LiveBench · Agentic Coding | 38.3 | 51.7 |
LiveBench · Coding | 67.4 | 70.7 |
LiveBench · Data Analysis | 52.3 | 49.6 |
LiveBench · If | 62.0 | 57.2 |
LiveBench · Language | 66.5 | 55.1 |
LiveBench · Mathematics | 81.1 | 77.4 |
LiveBench · Overall | 61.6 | 60.1 |
LiveBench · Reasoning | 63.5 | 59.3 |
OpenCompass · AIME2025 | 94.1 | 86.2 |
OpenCompass · GPQA-Diamond | 82.7 | 84.6 |
OpenCompass · HLE | 21.3 | 22.2 |
OpenCompass · IFEval | 92.4 | 91.1 |
OpenCompass · LiveCodeBenchV6 | 77.1 | 73.6 |
OpenCompass · MMLU-Pro | 84.3 | 81.7 |
PostTrainBench | 7.3 | 9.5 |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 35.7 | 42.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.60 | $2.50 | 262K tokens (~131 books) | $10.75 | |
| $0.15 | $1.15 | 197K tokens (~98 books) | $4.00 |
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