Compare · ModelsLive · 2 picked · head to head
Kimi K2.7 Code vs MiniMax M2.7
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Kimi K2.7 Code wins on 9/11 benchmarks
Kimi K2.7 Code wins 9 of 11 shared benchmarks. Leads in speed · coding · reasoning.
Category leads
speed·Kimi K2.7 Codecoding·Kimi K2.7 Codereasoning·Kimi K2.7 Codelanguage·MiniMax M2.7math·MiniMax M2.7knowledge·Kimi K2.7 Code
Hype vs Reality
Attention vs performance
Kimi K2.7 Code
#42 by perf·no signal
MiniMax M2.7
#40 by perf·no signal
Best value
MiniMax M2.7
3.1x better value than Kimi K2.7 Code
Kimi K2.7 Code
34.3 pts/$
$1.84/M
MiniMax M2.7
105.8 pts/$
$0.60/M
Vendor risk
Mixed exposure
One or more vendors flagged
moonshotai
private · undisclosed
MiniMax
$4.0B·Tier 1
Head to head
11 benchmarks · 2 models
Kimi K2.7 CodeMiniMax M2.7
Artificial Analysis · Agentic Index
Kimi K2.7 Code leads by +4.0
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Kimi K2.7 Code
29.6
MiniMax M2.7
25.6
Artificial Analysis · Coding Index
Kimi K2.7 Code leads by +8.1
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Kimi K2.7 Code
60.8
MiniMax M2.7
52.6
Artificial Analysis · Quality Index
Kimi K2.7 Code leads by +3.8
Kimi K2.7 Code
42.0
MiniMax M2.7
38.1
LiveBench · Agentic Coding
Kimi K2.7 Code leads by +20.0
Kimi K2.7 Code
70.0
MiniMax M2.7
50.0
LiveBench · Coding
Kimi K2.7 Code leads by +19.1
Kimi K2.7 Code
74.0
MiniMax M2.7
54.9
LiveBench · Data Analysis
Kimi K2.7 Code leads by +6.3
Kimi K2.7 Code
62.7
MiniMax M2.7
56.3
LiveBench · If
MiniMax M2.7 leads by +4.8
Kimi K2.7 Code
56.3
MiniMax M2.7
61.1
LiveBench · Language
Kimi K2.7 Code leads by +11.1
Kimi K2.7 Code
77.9
MiniMax M2.7
66.8
LiveBench · Mathematics
MiniMax M2.7 leads by +0.9
Kimi K2.7 Code
79.6
MiniMax M2.7
80.5
LiveBench · Overall
Kimi K2.7 Code leads by +8.4
Kimi K2.7 Code
71.9
MiniMax M2.7
63.5
LiveBench · Reasoning
Kimi K2.7 Code leads by +8.0
Kimi K2.7 Code
82.8
MiniMax M2.7
74.8
Full benchmark table
| Benchmark | Kimi K2.7 Code | MiniMax M2.7 |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 29.6 | 25.6 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 60.8 | 52.6 |
Artificial Analysis · Quality Index | 42.0 | 38.1 |
LiveBench · Agentic Coding | 70.0 | 50.0 |
LiveBench · Coding | 74.0 | 54.9 |
LiveBench · Data Analysis | 62.7 | 56.3 |
LiveBench · If | 56.3 | 61.1 |
LiveBench · Language | 77.9 | 66.8 |
LiveBench · Mathematics | 79.6 | 80.5 |
LiveBench · Overall | 71.9 | 63.5 |
LiveBench · Reasoning | 82.8 | 74.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.61 | $3.07 | 262K tokens (~131 books) | $12.26 | |
| $0.24 | $0.96 | 205K tokens (~102 books) | $4.20 |