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MiniMax M3 Benchmark Details

MiniMax M3 currently shows benchmark results led by BrowseComp (10 / 50, score 83.50), SWE-Bench Pro - Public (10 / 49, score 59), LiveBench (40 / 115, score 70.02). This page also compares it with 3 competitor models and 4 predecessor or same-series models, including performance and pricing views when available. 1 source link is attached for reference.

Benchmark Results

MiniMax M3

Benchmark Results

Thinking
Tool usage
Internet

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
SWE-Bench Pro - Public
Thinking ModeTools
59
10 / 49

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
Thinking ModeToolsInternet
83.50
10 / 50

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
LiveBench
Deep Thinking Mode
70.02
40 / 115

AI Agent - Tool Usage

2 evaluations
Benchmark / mode
Score
Rank/total
OSWorld-Verified
Thinking ModeTools
70
14 / 20
TerminalBench 2.1
Thinking ModeTools
66
18 / 22

Competitor Comparison

Benchmark scores for MiniMax M3 compared against top models in its class

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.

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

BenchmarkMiniMax M3CurrentKimi K2.6GLM 5.1
BrowseComp
AI Agent - 信息收集
83.50Thinking Enabled | Tools
83.20Thinking Enabled | Tools
79.30Thinking Enabled | Tools
LiveBench
综合评估
70.02Deep Thinking Mode
72.17Thinking Enabled
70.18Standard Mode
OSWorld-Verified
AI Agent - 工具使用
70.00Thinking Enabled | Tools
73.10Thinking Enabled | Tools
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Standard API Pricing: MiniMax M3 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.

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

MiniMax M3
Supplier: MiniMaxAI
Standard input: ¥2.1 / 1M tokens
Standard output: ¥8.4 / 1M tokens
Kimi K2.6
Supplier: Facebook AI研究实验室
Standard input: $0.95 / 1M tokens
Standard output: $4 / 1M tokens
GLM 5.1
Supplier: 智谱AI
Standard input: $1.4 / 1M tokens
Standard output: $4.4 / 1M tokens
Qwen3.7-Max-Preview
Supplier: 阿里巴巴
Standard input: $2.5 / 1M tokens
Standard output: $7.5 / 1M tokens
ModelSupplierStandard inputStandard outputBase price applies to
MiniMax M3
MiniMaxAI¥2.1 / 1M tokens¥8.4 / 1M tokens
Kimi K2.6
Facebook AI研究实验室$0.95 / 1M tokens$4 / 1M tokens
GLM 5.1
智谱AI$1.4 / 1M tokens$4.4 / 1M tokens
Qwen3.7-Max-Preview
阿里巴巴$2.5 / 1M tokens$7.5 / 1M tokens

Version History

How each version of the MiniMax M3 series stacks up on benchmark tests

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.

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

BenchmarkMiniMax M3CurrentMiniMax-M2.7MiniMax M2.5M2.1
BrowseComp
AI Agent - 信息收集
83.50Thinking Enabled | Tools
--
76.30Thinking Enabled | Tools
47.40Thinking Enabled | Tools
LiveBench
综合评估
70.02Deep Thinking Mode
63.49Deep Thinking Mode
60.14Deep Thinking Mode
--

Single-Benchmark Version Trend

Viewing: BrowseComp · AI Agent - 信息收集

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 M3 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 M3
Supplier: MiniMaxAI
Standard input: ¥2.1 / 1M tokens
Standard output: ¥8.4 / 1M tokens
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 M3
MiniMaxAI¥2.1 / 1M tokens¥8.4 / 1M tokens
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