MiniMax M3
MiniMax M3Alternatives?
CheaperGPT-6 Lunamax+3.3-87%$0.068Function calling only with none · Chat Completions+3
OpenGLM 5.3 Flashmaxsame-44%$0.28Defaults to max · Self-hosted+4
CheaperClaude Haiku 5.5xhigh+2.8-76%$0.12Remove sampling parameters+5TCheaperInkling SmallthinkingOpensame-82%$0.089Context: 524K → 256K
CheaperGemini 3.5 Flash Litehighsame-66%$0.17GPT-6 Lunamax+3.3-87%$0.068Function calling only with none · Chat Completions+3Claude Haiku 5.5xhigh+2.8-76%$0.12Remove sampling parameters+5GLM 5.3 FlashmaxOpensame-44%$0.28Defaults to max · Self-hosted+4TInkling SmallthinkingOpensame-82%$0.089Context: 524K → 256KGemini 3.5 Flash Litehighsame-66%$0.17GPT-6 Lunamax+3.3-87%$0.068Function calling only with none · Chat Completions+3Claude Haiku 5.5xhigh+2.8-76%$0.12Remove sampling parameters+5GPT-6.1 Solmax+6.9+43%$0.72Remove unsupported parameters+5GPT-6 Solmax+3.6+106%$1.04
Mistral Large 4thinking+3.1+216%$1.61Infinite whitespace stream+4GLM 5.3 FlashmaxOpensame-44%$0.28Defaults to max · Self-hosted+4GLM 5.3maxOpensame+295%$2.01Memory (4-bit): 256 GB → 452 GB+5TInklingxhighOpensame+17%$0.60Context: 524K → 256K+1TInkling SmallthinkingOpensame-82%$0.089Context: 524K → 256KMiniMax M2.7thinkingOpenn/a—$0.11Context: 524K → 205K+1MiniMax M2.5thinkingOpenn/a—$0.30 / $1.20Context: 524K → 205K+1MiniMax M2.1thinkingOpenn/a—$0.30 / $1.20Context: 524K → 205K+1MiniMax M2thinkingOpenn/a—$0.30 / $1.20Context: 524K → 205K+1MiniMax M1 40kOpenn/a——Memory (4-bit): 256 GB → 274 GB+1MiniMax M1 80kOpenn/a—$0.55 / $2.20Memory (4-bit): 256 GB → 274 GB+1MiniMax M1unstatedOpenn/a—$0.40 / $2.20Memory (4-bit): 256 GB → 274 GB+1MiniMax M2-herunstatedn/a—$0.30 / $1.20Context: 524K → 66K+1All MiniMax models →Run it yourself
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Deployment status experimental · Self-hosted›
The documented MiniMax M3 baseline uses an experimental SGLang development image; pin its model revision and image digest and validate your workload. Source ↗
FAQ
How much does MiniMax M3 cost?›
$0.30 per 1M input tokens and $1.20 per 1M output tokens; cached input $0.06 per 1M; cheapest via CoreWeave at $0.23 / $0.96. A typical benchmark task costs about $0.51 at default effort.
Is MiniMax M3 free to use?›
There is no free API; the cheapest paid price is $0.23 per 1M input tokens. The weights are open, so you can run it yourself.
How good is MiniMax M3, and what is it best at?›
#51 of 336 in Chat & Knowledge, #51 of 134 in Coding, #60 of 135 in Agents & Tool Use, #60 of 197 in Writing & Language, #30 of 125 in Vision & Documents. Strongest at: Tool calling, Reasoning, Science, Long context, Knowledge, Instructions, Vision.
Is MiniMax M3 better than Gemini 3.8 Flash?›
On Harvey LAB-AA 1.1, MiniMax M3 scores 0 vs 0 — about the same. It is 85% cheaper per task.
How can I use MiniMax M3?›
Through the API of AtlasCloud, CoreWeave, DeepInfra, Featherless, Mara and 7 more.
What is the context window of MiniMax M3?›
524K tokens, with up to 512K output tokens.
When was MiniMax M3 released? Is there a newer version?›
Released 2026-06-01. It is the current version in its line.
Is MiniMax M3 open source?›
Yes, the weights are open (minimax-community licence).
Can I run MiniMax M3 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can MiniMax M3 read images?›
It accepts text and images, video as input.
What is MiniMax M3?›
MiniMax M3 is an open-weights language model from MiniMax, released Jun 2026, the successor to MiniMax M2.7.
What are the best alternatives to MiniMax M3?›
GPT-6 Luna (cheaper), GLM 5.3 Flash (open weights).