MiniMax M3
MiniMax M3Alternatives?
CheaperClaude Haiku 5.5max×3.7-58%$0.21Remove sampling parameters+5
BetterMuse Glimmer 30BhighOpen+16%-89%$0.058Context: 524K → 131K
OpenGLM 5.3 Flashmax×3-44%$0.28Defaults to max · Self-hosted+4
CheaperGPT-5.6 Lunamax+13%-65%$0.18
CheaperMiMo v2.6 ProthinkingOpen+6%-74%$0.13Memory (4-bit): 256 GB → 615 GB+4Claude Haiku 5.5max×3.7-58%$0.21Remove sampling parameters+5GLM 5.3 FlashmaxOpen×3-44%$0.28Defaults to max · Self-hosted+4Muse Glimmer 30BhighOpen+16%-89%$0.058Context: 524K → 131KGPT-5.6 Lunamax+13%-65%$0.18MiMo v2.6 ProthinkingOpen+6%-74%$0.13Memory (4-bit): 256 GB → 615 GB+4Muse Glimmer 30BhighOpen+16%-89%$0.058Context: 524K → 131KGPT-5.6 Lunamax+13%-65%$0.18Claude Haiku 5.5max×3.7-58%$0.21Remove sampling parameters+5GLM 5.3 FlashmaxOpen×3-44%$0.28Defaults to max · Self-hosted+4GPT-5.6 Terraxhigh+26%+24%$0.63Prompts with >272K input tokensGLM 5.3 FlashmaxOpen×3-44%$0.28Defaults to max · Self-hosted+4GLM 5.3maxOpen×2.8+295%$2.01Memory (4-bit): 256 GB → 452 GB+5
Qwen3.8 27BxhighOpen+26%+98%$1.01Context: 524K → 262K+5Muse Glimmer 30BhighOpen+16%-89%$0.058Context: 524K → 131KMiMo v2.6 ProthinkingOpen+6%-74%$0.13Memory (4-bit): 256 GB → 615 GB+4MiniMax M2.7thinkingOpen-81%—$0.30 / $1.20Context: 524K → 205K+1MiniMax M3.1 Flashthinkingn/a—$0.22Complete model response must be appendedMiniMax 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+1All MiniMax models →Run it yourself
estimateHistory
6 versionsBenchmarks
in Chat & KnowledgeWatch out 1
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?›
#49 of 334 in Chat & Knowledge, #49 of 132 in Coding, #58 of 133 in Agents & Tool Use, #62 of 195 in Writing & Language, #29 of 124 in Vision & Documents. Strongest at: Tool calling, Reasoning, Science, Long context, Knowledge, Instructions, Vision.
Is MiniMax M3 better than MiniMax M2.7?›
On MLCR-AA, MiniMax M3 scores 17.2 vs 3.3 — higher.
How can I use MiniMax M3?›
Through the API of CoreWeave, DeepInfra, Featherless, Mara, Minimax and 6 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?›
Claude Haiku 5.5 (cheaper), Muse Glimmer 30B (better), GLM 5.3 Flash (open weights).