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MiniMax M2.5 Benchmark Details

MiniMax M2.5 currently shows benchmark results led by SWE-bench Verified (13 / 109, score 80.20), Claw Bench (4 / 29, score 92.10), Pinch Bench (6 / 37, score 87.80). 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 M2.5

Benchmark Results

Thinking
Tool usage

General Knowledge

5 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Thinking Mode
85.20
50 / 180
ARC-AGI
Thinking Mode
63.70
32 / 65
LiveBench
Deep Thinking Mode
60.14
68 / 115
HLE
Thinking Mode
19.40
113 / 164
ARC-AGI-2
Thinking Mode
4.90
44 / 59

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
AIME2025
Thinking Mode
86.30
48 / 106

Agent Level Benchmark

1 evaluations
Benchmark / mode
Score
Rank/total

Instruction Following

1 evaluations
Benchmark / mode
Score
Rank/total
70
12 / 29

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
76.30
20 / 49

AI Agent - Tool Usage

1 evaluations
Benchmark / mode
Score
Rank/total
51.70
30 / 46

Productivity Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
GDPval-AA
Thinking Mode
36
17 / 21

Long Context

1 evaluations
Benchmark / mode
Score
Rank/total
AA-LCR
Thinking Mode
69.50
4 / 14

Claw-style Agent Evaluation

2 evaluations
Benchmark / mode
Score
Rank/total
Claw Bench
Thinking ModeTools
92.10
4 / 29
Pinch Bench
Thinking ModeTools
87.80
6 / 37

Competitor Comparison

Benchmark scores for MiniMax M2.5 compared against top models in its class

MiniMax M2.5GLM-5Kimi K2.5
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 M2.5CurrentGLM-5Kimi K2.5
ARC-AGI
综合评估
63.70Thinking Enabled
44.70Thinking Enabled
--
ARC-AGI-2
综合评估
4.90Thinking Enabled
4.90Thinking Enabled
--
GPQA Diamond
综合评估
85.20Thinking Enabled
86.00Thinking Enabled
--
HLE
综合评估
19.40Thinking Enabled
50.40Thinking Enabled | Tools
50.20Thinking Enabled | Tools
LiveBench
综合评估
60.14Deep Thinking Mode
--
69.07Thinking Enabled
SWE-Bench Pro - Public
编程与软件工程
55.40Thinking Enabled | Tools
--
50.70Thinking Enabled | Tools
SWE-bench Verified
编程与软件工程
80.20Thinking Enabled | Tools
77.80Thinking Enabled
76.80Thinking Enabled | Tools
τ²-Bench - Telecom
Agent能力评测
97.80Thinking Enabled | Tools
98.00Thinking Enabled | Tools
--
IF Bench
指令跟随
70.00Thinking Enabled | Tools
72.00Thinking Enabled | Tools
--
BrowseComp
AI Agent - 信息收集
76.30Thinking Enabled | Tools
75.90Thinking Enabled | Tools
60.60Thinking Enabled | Tools
Terminal Bench 2.0
AI Agent - 工具使用
51.70Thinking Enabled | Tools
61.10Thinking Enabled | Tools
50.80Thinking Enabled | Tools
GDPval-AA
生产力知识
36.00Thinking Enabled
46.00Thinking Enabled
--
3 additional benchmarks remain in the chart above.

Standard API Pricing: MiniMax M2.5 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 M2.5
MiniMaxAI$0.3 / 1M tokens$2.4 / 1M tokens
GLM-5
智谱AI$1 / 1M tokens$3.2 / 1M tokens
Kimi K2.5
Moonshot AI$0.6 / 1M tokens$3 / 1M tokens

Version History

How each version of the MiniMax M2.5 series stacks up on benchmark tests

MiniMax M2.5MiniMax M2M2.1
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.

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

BenchmarkMiniMax M2.5CurrentMiniMax M2M2.1
GPQA Diamond
综合评估
85.20Thinking Enabled
78.00Thinking Enabled
81.00Thinking Enabled
HLE
综合评估
19.40Thinking Enabled
12.50Thinking Enabled
22.00Thinking Enabled
SWE-Bench Pro - Public
编程与软件工程
55.40Thinking Enabled | Tools
--
32.60Thinking Enabled | Tools
SWE-bench Verified
编程与软件工程
80.20Thinking Enabled | Tools
69.40Thinking Enabled | Tools
74.80Thinking Enabled
AIME2025
数学推理
86.30Thinking Enabled
78.00Thinking Enabled
81.00Thinking Enabled
τ²-Bench - Telecom
Agent能力评测
97.80Thinking Enabled | Tools
87.00Thinking Enabled | Tools
87.00Thinking Enabled | Tools
IF Bench
指令跟随
70.00Thinking Enabled | Tools
72.30Thinking Enabled
70.00Thinking Enabled | Tools
BrowseComp
AI Agent - 信息收集
76.30Thinking Enabled | Tools
44.00Thinking Enabled | Tools
47.40Thinking Enabled | Tools
Terminal Bench 2.0
AI Agent - 工具使用
51.70Thinking Enabled | Tools
--
47.90Thinking Enabled | Tools
Pinch Bench
OpenClaw智能体能力综合测评
87.80Thinking Enabled | Tools
--
84.30Thinking Enabled | Tools

Single-Benchmark Version Trend

Viewing: GPQA Diamond · 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 M2.5 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 M2.5
Supplier: MiniMaxAI
Standard input: $0.3 / 1M tokens
Standard output: $2.4 / 1M tokens
MiniMax M2
Supplier: MiniMaxAI
Standard input: ¥2.1 / 1M tokens
Standard output: ¥8.4 / 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 M2.5
MiniMaxAI$0.3 / 1M tokens$2.4 / 1M tokens
MiniMax M2
MiniMaxAI¥2.1 / 1M tokens¥8.4 / 1M tokens
M2.1
MiniMaxAI¥2.1 / 1M tokens¥8.4 / 1M tokens

Sources