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MiniMax-M2.7 Benchmark Details

MiniMax-M2.7 currently shows benchmark results led by Claw Bench (5 / 29, score 91.70), Pinch Bench (10 / 38, score 87.10), IF Bench (9 / 34, score 76). This page also compares it with 2 competitor models and 2 predecessor or same-series models, including performance and pricing views when available. 2 source links are attached for reference.

Benchmark Results

MiniMax-M2.7

Benchmark Results

Thinking
Tool usage

General Knowledge

2 evaluations
Benchmark / mode
Score
Rank/total
LiveBench
Deep Thinking Mode
63.49
56 / 115
HLE
Thinking Mode
28
106 / 185

Other

1 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Thinking Mode
87
81 / 270

Coding and Software Engineer

3 evaluations
Benchmark / mode
Score
Rank/total
SWE-bench Multilingual
Thinking ModeTools
76.50
8 / 27
SWE-Bench Pro - Public
Thinking ModeTools
56.20
28 / 59
NL2Repo-Bench
Thinking ModeTools
39.80
11 / 11

Agent Level Benchmark

2 evaluations
Benchmark / mode
Score
Rank/total
τ²-Bench - Telecom
Thinking ModeTools
85
24 / 35
Terminal Bench Hard
Thinking ModeTools
39
5 / 13

Instruction Following

1 evaluations
Benchmark / mode
Score
Rank/total
IF Bench
Thinking ModeTools
76
9 / 34

AI Agent - Tool Usage

1 evaluations
Benchmark / mode
Score
Rank/total
Terminal Bench 2.0
Thinking ModeTools
57
25 / 48

Text Embedding

1 evaluations
Benchmark / mode
Score
Rank/total
Context Arena
Thinking Mode
33.29
110 / 126

Productivity Knowledge

2 evaluations
Benchmark / mode
Score
Rank/total
GDPval-AA v2
Thinking ModeTools
1495
14 / 22
GDPval-AA
Thinking Mode
50
13 / 21

Long Context

1 evaluations
Benchmark / mode
Score
Rank/total
AA-LCR
Thinking ModeTools
69
14 / 27

Claw-style Agent Evaluation

2 evaluations
Benchmark / mode
Score
Rank/total
Claw Bench
Thinking ModeTools
91.70
5 / 29
Pinch Bench
Thinking ModeTools
87.10
10 / 38

Competitor Comparison

Benchmark scores for MiniMax-M2.7 compared against top models in its class

MiniMax-M2.7Kimi K2.5GLM-5
Benchmark categories:
The chart shows each model’s highest score per benchmark within the current filter. Out-of-100 benchmarks use raw heights; out-of-range benchmarks are scaled within that benchmark while labels keep the original scores.

12 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.

BenchmarkMiniMax-M2.7CurrentKimi K2.5GLM-5
HLE
综合评估
28.00Thinking Enabled
50.20Thinking Enabled | Tools
50.40Thinking Enabled | Tools
LiveBench
综合评估
63.49Deep Thinking Mode
69.07Thinking Enabled
68.85Standard Mode
GPQA Diamond
科学与综合推理
87.00Thinking Enabled
87.60Thinking Enabled
86.00Thinking Enabled
SWE-bench Multilingual
编程与软件工程
76.50Thinking Enabled | Tools
73.00Thinking Enabled
--
SWE-Bench Pro - Public
编程与软件工程
56.20Thinking Enabled | Tools
50.70Thinking Enabled | Tools
--
Terminal Bench Hard
Agent能力评测
39.00Thinking Enabled | Tools
--
43.00Thinking Enabled | Tools
τ²-Bench - Telecom
Agent能力评测
85.00Thinking Enabled | Tools
--
98.00Thinking Enabled | Tools
IF Bench
指令跟随
76.00Thinking Enabled | Tools
--
72.00Thinking Enabled | Tools
Terminal Bench 2.0
AI Agent - 工具使用
57.00Thinking Enabled | Tools
50.80Thinking Enabled | Tools
61.10Thinking Enabled | Tools
Context Arena
文本向量检索
33.29Thinking Enabled
59.22Thinking Enabled
--
GDPval-AA
生产力知识
50.00Thinking Enabled
40.00Thinking Enabled
46.00Thinking Enabled
AA-LCR
长上下文能力
69.00Thinking Enabled | Tools
65.00Thinking Enabled
63.00Thinking Enabled
2 additional benchmarks remain in the chart above.

Standard API Pricing: MiniMax-M2.7 vs. Peer Models

Shows standard text input and output pricing side by side for each model. If extended-context pricing exists, the chart keeps the base rate and explains the threshold below.

Source: DataLearnerAI. Standard text prices shown here use the default supplier. · USD / 1M tokens

ModelSupplierStandard inputStandard outputBase price applies to
MiniMax-M2.7
MiniMaxAI$0.3 / 1M tokens$1.2 / 1M tokens
Kimi K2.5
Moonshot AI$0.6 / 1M tokens$3 / 1M tokens
GLM-5
智谱AI$1 / 1M tokens$3.2 / 1M tokens

Version History

How each version of the MiniMax-M2.7 series stacks up on benchmark tests

MiniMax-M2.7MiniMax M2.5M2.1
Benchmark categories:
The chart shows each model’s highest score per benchmark within the current filter. Out-of-100 benchmarks use raw heights; out-of-range benchmarks are scaled within that benchmark while labels keep the original scores.

11 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.· Click a row to view its trend chart.

BenchmarkMiniMax-M2.7CurrentMiniMax M2.5M2.1
HLE
综合评估
28.00Thinking Enabled
19.40Thinking Enabled
22.00Thinking Enabled
LiveBench
综合评估
63.49Deep Thinking Mode
60.14Deep Thinking Mode
--
GPQA Diamond
科学与综合推理
87.00Thinking Enabled
85.20Thinking Enabled
81.00Thinking Enabled
SWE-Bench Pro - Public
编程与软件工程
56.20Thinking Enabled | Tools
55.40Thinking Enabled | Tools
32.60Thinking Enabled | Tools
τ²-Bench - Telecom
Agent能力评测
85.00Thinking Enabled | Tools
97.80Thinking Enabled | Tools
87.00Thinking Enabled | Tools
IF Bench
指令跟随
76.00Thinking Enabled | Tools
70.00Thinking Enabled | Tools
70.00Thinking Enabled | Tools
Terminal Bench 2.0
AI Agent - 工具使用
57.00Thinking Enabled | Tools
51.70Thinking Enabled | Tools
47.90Thinking Enabled | Tools
GDPval-AA
生产力知识
50.00Thinking Enabled
36.00Thinking Enabled
--
AA-LCR
长上下文能力
69.00Thinking Enabled | Tools
69.50Thinking Enabled
--
Claw Bench
OpenClaw智能体能力综合测评
91.70Thinking Enabled | Tools
92.10Thinking Enabled | Tools
--
Pinch Bench
OpenClaw智能体能力综合测评
87.10Thinking Enabled | Tools
87.80Thinking Enabled | Tools
84.30Thinking Enabled | Tools

Single-Benchmark Version Trend

Viewing: HLE · 综合评估

Benchmark
NormalNormal + ToolsThinkingThinking + ToolsDeepDeep + Tools

X-axis shows model and release date, Y-axis shows score; solid lines connect the same mode across versions, while dotted guides align modes within the same generation.

Standard API Pricing Across the MiniMax-M2.7 Series

Shows standard text input and output pricing side by side for each model. If extended-context pricing exists, the chart keeps the base rate and explains the threshold below.

Source: DataLearnerAI. Standard text prices shown here use the default supplier.

These models use different currencies or billing units, so the page falls back to raw price values instead of a shared bar chart.

MiniMax-M2.7
Supplier: MiniMaxAI
Standard input: $0.3 / 1M tokens
Standard output: $1.2 / 1M tokens
MiniMax M2.5
Supplier: MiniMaxAI
Standard input: $0.3 / 1M tokens
Standard output: $2.4 / 1M tokens
M2.1
Supplier: MiniMaxAI
Standard input: ¥2.1 / 1M tokens
Standard output: ¥8.4 / 1M tokens
ModelSupplierStandard inputStandard outputBase price applies to
MiniMax-M2.7
MiniMaxAI$0.3 / 1M tokens$1.2 / 1M tokens
MiniMax M2.5
MiniMaxAI$0.3 / 1M tokens$2.4 / 1M tokens
M2.1
MiniMaxAI¥2.1 / 1M tokens¥8.4 / 1M tokens

Sources