Frontier coding
Strong SWE-Bench Pro and Terminal-Bench results for real coding and debugging.
M-Chat for MiniMax M3
Use MiniMax M3 in a clean web app — an open-weight frontier model for coding, agentic workflows, and 1M-token context. Keep Thinking on for hard problems, and turn on web search when you need current sources.
Use MiniMax M3, enable web search or Thinking when needed, then start with a real prompt.
Starter prompts
Context window
1M
SWE-Bench Pro
59.0%
Terminal-Bench 2.1
66.0%
Model ID
minimax/m3
Community Reviews
What People Are Saying About MiniMax M3
Hands-on MiniMax M3 reviews and tests from the developer community.
Frontier Coding, 1M Context, Native Multimodality — Thorough Testing
A deep hands-on test of MiniMax M3 across coding and agentic tasks.
MiniMax M3 is HERE! Real Tests and Review
First real-world tests of M3's agentic coding and long context.
I Replaced Opus With MiniMax M3 In Claude Code
Using MiniMax M3 as the coding model inside Claude Code.
MiniMax M3 Fully Tested + Free API
Full walkthrough plus how to try M3 through a free API.
Best Open-Source Model? M3 vs Opus 4.7
Cost-and-quality comparison of MiniMax M3 against Opus 4.7.
MiniMax M3: Frontier Coding, 1M Context — All in One Model
Overview of what MiniMax M3 brings in a single model.
Overview
What is MiniMax M3 AI
MiniMax M3 is an open-weight frontier model built for coding, agentic tool use, and long-context work. It accepts native text, image, and video input, and its MSA architecture cuts per-token compute at 1M context to about 1/20 of the previous generation.
Open-weight frontier model
Released with open weights, model ID minimax/minimax-m3, focused on coding and agentic tasks.
MSA architecture, 1M context
Multi-Sparse-Attention keeps 1M-token context affordable — about 1/20 the per-token compute of the prior generation.
Native multimodal input
Accepts text, image, and video input with text output.
Why MiniMax M3
Why Choose MiniMax M3 AI
Where MiniMax M3 stands out for day-to-day engineering and agent work.
Low cost
$0.30 / 1M input and $1.20 / 1M output — frontier quality at a fraction of typical cost.
1M-token context
Hold whole repos, long documents, and multi-step agent traces in one context.
Agentic tool use
Built for multi-step tool calling, MCP, and autonomous workflows.
Open weights
Open-weight release you can self-host and audit.
Fast long-context inference
MSA architecture keeps 1M-context responses fast and affordable.
Key Features of MiniMax M3
The core capabilities you get when you chat with MiniMax M3 on M-Chat.
Thinking mode
Toggle extended reasoning for harder coding, planning, and analysis.
Web search
Server-side Tavily search injects current evidence before the model answers.
Multimodal input
Send text, images, and video as described by the model's capabilities.
Coding and agents
Write, refactor, and debug code, or drive multi-step agent tasks.
1M context
Work across large codebases and long documents without losing context.
API access
Use model ID minimax/minimax-m3 in your own apps.
MiniMax M3 Benchmark Table
Full MiniMax M3 benchmark table from the official release, covering coding, cowork agent, GUI, multimodal, and reasoning evaluations.
| Benchmark | MiniMax M3 | MiniMax M2.7 | Claude Opus 4.7 | GPT 5.5 | Gemini 3.1 Pro | Claude Sonnet 4.6 | DeepSeek V4 Pro | GLM 5.1 Thinking | Kimi K2.6 Thinking |
|---|---|---|---|---|---|---|---|---|---|
| Coding | |||||||||
| SWE-Bench Verified | 80.5 | 79.9 | 87.6 | 82.9 | 80.6 | 79.6 | 80.6 | - | 80.2 |
| SWE-Bench Pro | 59.0 | 56.2 | 64.3 | 58.6 | 54.2 | - | 55.4 | 58.4 | 58.6 |
| Terminal Bench 2.1 | 66.0 | 51.1 | 66.1 | 78.2 | 70.3 | - | - | - | - |
| SWE Atlas-QnA | 37.9 | 11.29 | 45.16 | 45.43 | 13.5 | 31.20 | - | - | - |
| nl2repo | 42.13 | 34.99 | 56.28 | 52.9 | 21.62 | - | 35.5 | 41 | 42.8 |
| SWE Atlas-Test Writing | 30.83 | 18.89 | 38.21 | 42.59 | 29.84 | 31.76 | - | - | - |
| SWE-fficiency | 34.8 | 13.98 | 42.2 | 46.6 | 19.7 | - | - | - | - |
| LiveSQLBench | 40.17 | 33.17 | 41.00 | 40.17 | 39.83 | - | - | - | - |
| CL-bench | 20.48 | 15.38 | 22.92 | 25.38 | 21.06 | - | - | - | - |
| VIBE-V2 | 50.12 | 37.89 | 55.87 | 50.50 | 28.00 | - | - | - | - |
| SVG-Bench | 63.7 | 48.0 | 62.3 | 58.2 | 59.2 | - | - | - | - |
| PostTrainBench | 37.1 | 13.1 | 42.4 | 39.3 | 15.2 | - | - | - | - |
| KernelBench Hard | 28.8 | 10.5 | 30.7 | 20.9 | 18.6 | - | - | - | - |
| PaperBench | 52.6 | 30.6 | 58.5 | 57.5 | 46.7 | - | - | - | - |
| Cowork (Agent) | |||||||||
| BrowseComp | 83.52 | 76.3 | 79.3 | 84.4 | 85.9 | 74.7 | 83.4 | 79.3 | 83.2 |
| DRACO | 73.23 | 66.77 | 77.7 | - | - | 75.8 | - | - | - |
| GDPval rubrics | 74.78 | 66.44 | 79.8 | 80.66 | 57.82 | 75.65 | 70.32 | 68.26 | 65.12 |
| BankerToolBench | 76.12 | 63.89 | 81.34 | 70.04 | 67.03 | - | - | - | - |
| OfficeQA Pro | 45.1 | - | 43.6 | 52.6 | 18.1 | - | - | - | - |
| SpreadSheetBench-v1 | 89.35 | 84.92 | 88.49 | 88.11 | 56.06 | - | 84.9 | 85.2 | 84.5 |
| YC-Bench | 2.10M | 0 | 2.19M | 1.28M | 1.05M | - | - | - | - |
| LOCA-Bench (256k) | 49.3 | 0 | 57 | - | - | - | - | - | - |
| MCP Atlas | 74.2 | 49.4 | 77 | 75.3 | 69.2 | 61.3 | 73.6 | 71.8 | 66.6 |
| Apex-Agents | 27.7 | 5.6 | 37.2 | 41.7 | 33.4 | 26.2 | - | - | - |
| Claw-Eval | 74.5 | 49.7 | 71.6 | - | 57.8 | 68.3 | 58.4 | 62.7 | 61.5 |
| GUI | |||||||||
| OSWorld-Verified | 70.06 | - | 82.8 | 78.7 | 76.2 | 72.5 | 80.6 | - | 73.1 |
| MultiModal | |||||||||
| OmniDocBench | 91.6 | - | 89.3 | 87.5 | 88.1 | 86.9 | - | - | - |
| MMMU-Pro | 78.1 | - | 77 | 81.2 | 80.5 | 74.5 | - | - | 79.4 |
| Video-MMMU | 84.6 | - | 83 | 86.4 | 87.9 | - | - | - | - |
| VideoMME (w/ sub) | 85.4 | - | - | 89.4 | 87.9 | - | - | - | - |
| Reasoning | |||||||||
| IMO 2025 | 35 / 42 | - | - | - | - | - | - | - | - |
| USAMO 2026 | 36 / 42 | - | 52.8% | 98.21% | 74.40% | - | - | - | - |
Source: MiniMax M3 official release full benchmark table. Dashes match empty cells in the source table.
Updated 2026-06-01Pricing
MiniMax M3 Price
Choose an M-Chat plan for MiniMax M3 access.
Free
$0 / month
For testing MiniMax M3 text chat before upgrading.
Good for quick testing.Includes
- 10 credits after sign-in
- MiniMax M3 text chat
- Thinking and web search available
- Saved chat history
- Ads may appear on free sessions
Lite
$5.99 / month
Affordable ad-free access for light MiniMax M3 usage.
Includes
- 300 credits per month
- MiniMax M3: 3 credits per message
- Thinking: +1 credit
- Web search: +2 credits
- Email support
- No ads
Starter
$12.99 / month
For daily research, coding questions, and web-search-assisted chat.
Includes
- 900 credits per month
- MiniMax M3: 3 credits per message
- Thinking: +1 credit
- Web search: +2 credits
- Priority response speed
- Email support
Pro
$29.99 / month
For higher-volume MiniMax M3 chat and long-context work.
Includes
- 2400 credits per month
- MiniMax M3: 3 credits per message
- Thinking: +1 credit
- Web search: +2 credits
- Priority support
- No ads
MiniMax M3 FAQ
Common questions about M-Chat, MiniMax M3, Thinking, web search, and local validation.
What is M-Chat?
M-Chat is an independent web chat and research site for MiniMax M3. It is not MiniMax official infrastructure.
Which model does the chat use?
The chat backend uses MiniMax M3, model ID minimax/minimax-m3.
Does MiniMax M3 support multimodal input?
MiniMax M3 is described as supporting text, image, and video inputs with text output. M-Chat is validated for text chat.
What does Thinking do?
Thinking enables extended reasoning for prompts that need deeper analysis.
How does web search work?
The server calls Tavily search and provides the search result context to MiniMax M3 before the answer is generated.
Is MiniMax M3 free to use?
MiniMax M3 is released as an open-weight model, and M-Chat gives every signed-in user 10 free credits to try it. Beyond that, access is paid: OpenRouter and the official MiniMax API bill per token, and M-Chat sells credit plans.
How much does MiniMax M3 cost?
On OpenRouter, MiniMax M3 lists at $0.30 per 1M input tokens and $1.20 per 1M output tokens during its launch discount. The official MiniMax API is tiered by input length, with higher rates above 512K tokens. Verify live pricing before budgeting.
Is MiniMax M3 open source?
MiniMax M3 ships as an open-weight model you can download and self-host, but the release stops short of a full open-source license. Check MiniMax's terms before building a commercial product on the weights.
Is MiniMax M3 good for coding?
MiniMax M3 targets coding and agentic work, scoring 59.0% on SWE-Bench Pro and 66.0% on Terminal-Bench 2.1 in MiniMax's release. It narrowly leads the open-access group on SWE-Bench Pro, though closed models like Claude Opus 4.8 score higher.
How does MiniMax M3 compare to GPT-5.5 and Claude Opus 4.8?
MiniMax reports M3 just ahead of GPT-5.5 on SWE-Bench Pro and stronger on BrowseComp. Claude Opus 4.8 leads on raw coding (about 69.2% on SWE-Bench Pro) but costs far more. M3's pitch is near-frontier quality at a fraction of the price.
What is MiniMax M3's context window?
MiniMax M3 has a 1M-token context window, larger than many peers such as Kimi K2.6 at 256K. That makes it practical for full-repository analysis, long transcripts, and tool-heavy agent sessions inside a single prompt.
How do I use the MiniMax M3 API?
MiniMax M3 uses the model ID minimax/minimax-m3. M-Chat routes chat through OpenRouter's unified API, so you can reach the same model with an OpenRouter key and that model ID.
Latest MiniMax M3 Guides
Report notes, benchmark, pricing, and model comparison guides for MiniMax M3.
MiniMax M3 Benchmark: Coding, Agentic, and Long-Context Scores
MiniMax M3 benchmark results on SWE-Bench Pro, Terminal-Bench, BrowseComp, and MCP Atlas, how the model compares to GPT-5.5 and Claude Opus 4.8, and what early developers are saying.
Jun 1, 2026
MM-Chat Team
MiniMax M3 Price: API Token Costs and How to Budget
MiniMax M3 price across OpenRouter and the official MiniMax API, how it compares to Claude Opus 4.8 and GPT-5.5 on cost, M-Chat credits, and what the community says.
Jun 1, 2026
MM-Chat Team
MiniMax M3 vs DeepSeek V4 Pro: Benchmarks and Practical Choice
MiniMax M3 vs DeepSeek V4 Pro on SWE-Bench Pro, Terminal-Bench, BrowseComp, and MCP Atlas, where each model leads, community reception, and how to choose for production.
Jun 1, 2026
MM-Chat Team
MiniMax M3 vs GLM 5.1: Coding and Agentic Comparison
MiniMax M3 vs GLM 5.1 on SWE-Bench Pro, Terminal-Bench, BrowseComp, and MCP Atlas, where the gaps show up, community reception, and how to evaluate both for real work.
Jun 1, 2026
MM-Chat Team
MiniMax M3 vs Kimi K2.6: Long-Context and Coding Comparison
MiniMax M3 vs Kimi K2.6 on coding and terminal benchmarks, the 1M vs 256K context gap, community reception, and how to choose for chat and agent workflows.
Jun 1, 2026
MM-Chat Team