MiniMax M2.7
MiniMaxhuggingface.co/MiniMaxAI/MiniMax-M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Updated 51 min ago · first seen 11 Sept 2026
model_01M294WW2MV89PBXXQQ9MTXTB7
- Parameters
- 228.7B
- T2 · 3 h ago
- Context
- 204.8K tokens
- T2 · 3 h ago
- Released
- 18 Mar 2026
- T2 · 1 h ago
- License
- other
- T2 · 2 h ago
Specification
- Release date
- 18 Mar 2026
Source:OpenRouter public model & pricing listingT2observed 1 h agomedium
- Status
- deprecated
Source:Artificial AnalysisT2observed 1 h agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- License
- other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Architecture
- MiniMaxM2ForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Parameters
- 228.7B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Context window
- 204.8K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Max output
- 131.1K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Quantization format
- fp8
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- File size
- 230.1 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Hugging Face repo
- MiniMaxAI/MiniMax-M2.7
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Downloads
- 1,323,648
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 51 min agomedium
- Likes
- 1,247
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 51 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Groq model id
- minimaxai/minimax-m2.7
Source:Groq — docs & pricingT1observed 3 h agohigh
- Groq pricing note
- Contact Sales
Source:Groq — docs & pricingT1observed 3 h agohigh
- Groq status
- preview
Source:Groq — docs & pricingT1observed 3 h agohigh
- Hf inference providers
- deepinfra, featherless-ai, novita
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Is quantized
- Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Last modified
- 2026-04-20T04:28:14+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- License name
- other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- License url
- https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Aa median output tokens per second
- 56.5
Source:Artificial AnalysisT2observed 1 h agomedium
- Downloads all time
- 6,947,056
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Model type
- minimax_m2
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Openrouter id
- minimax/minimax-m2.7
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Tags
- transformers, safetensors, minimax_m2, text-generation, custom_code, fp8
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Weights dtype
- BF16, F32, F8_E4M3
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
39
Source tiers
T1T23 / 36
Freshest observation
51 min ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 204.8K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
- Max output
- 131.1K tokens
Source:OpenRouter public model & pricing listingT2observed 3 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 84.8% | pass^1 | aa_slug=minimax-m2-7 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 23.22 | index | aa_slug=minimax-m2-7 · version=4.3 · estimated=false | — | artificialanalysis.aiT2 |
| GPQA | 87.37% | accuracy | aa_slug=minimax-m2-7 · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 29.61% | accuracy | aa_slug=minimax-m2-7 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 75.71% | accuracy | aa_slug=minimax-m2-7 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| SciCode | 50.12% | accuracy | aa_slug=minimax-m2-7 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 39.39% | accuracy | aa_slug=minimax-m2-7 · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 55.43% | accuracy | aa_slug=minimax-m2-7 · variant=v2.1 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 0% | accuracy | aa_slug=minimax-m2-7 · variant=v4.0 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| MiniMax APIminimax/minimax-m2.7 | $0.30 | $1.2 | $0.06 | — | 204.8K | 1 h ago | openrouter.aiT2 |
| Together AIminimax-m2-7 | $0.30 | $1.2 | $0.06 | — | — | 1 h ago | together.aiT1 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 3
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- MiniMax API
- Together AI
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| NVIDIA DGX B200 | 4bit | 1,440 GB | 132.0 GB | Yes |
| Apple M3 Ultra | 4bit | — | 132.0 GB | Yes |
| Mac Studio (Apple M5 Ultra) | 4bit | — | 132.0 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 132.0 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 132.0 GB | Yes |
| Apple M2 Ultra | 4bit | — | 132.0 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 132.0 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 132.0 GB | Yes |
| NVIDIA H200 NVL | 4bit | 141 GB | 132.0 GB | Yes |
| Apple M1 Ultra | 4bit | — | 132.0 GB | No |
| Apple M3 Max | 4bit | — | 132.0 GB | No |
| Apple M4 Max | 4bit | — | 132.0 GB | No |
| Mac Studio (Apple M5 Max) | 4bit | — | 132.0 GB | No |
| MacBook Pro (Apple M5 Max) | 4bit | — | 132.0 GB | No |
| NVIDIA DGX Spark | 4bit | 128 GB | 132.0 GB | No |
| Apple M2 Max | 4bit | — | 132.0 GB | No |
| NVIDIA H100 NVL | 4bit | 94 GB | 132.0 GB | No |
| NVIDIA A100 80GB | 4bit | 80 GB | 132.0 GB | No |
| NVIDIA H100 SXM | 4bit | 80 GB | 132.0 GB | No |
| Apple M1 Max | 4bit | — | 132.0 GB | No |
| Apple M4 Pro | 4bit | — | 132.0 GB | No |
| Mac mini (Apple M5 Pro) | 4bit | — | 132.0 GB | No |
| MacBook Pro (Apple M5 Pro) | 4bit | — | 132.0 GB | No |
| Apple M3 Pro | 4bit | — | 132.0 GB | No |
| Apple M1 Pro | 4bit | — | 132.0 GB | No |
| Apple M2 Pro | 4bit | — | 132.0 GB | No |
| Apple M4 | 4bit | — | 132.0 GB | No |
| iMac (Apple M4) | 4bit | — | 132.0 GB | No |
| Mac mini (Apple M6) | 4bit | — | 132.0 GB | No |
| MacBook Air (Apple M5) | 4bit | — | 132.0 GB | No |
| MacBook Pro (Apple M5) | 4bit | — | 132.0 GB | No |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 132.0 GB | No |
| Apple M2 | 4bit | — | 132.0 GB | No |
| Apple M3 | 4bit | — | 132.0 GB | No |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 132.0 GB | No |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 132.0 GB | No |
| Apple M1 | 4bit | — | 132.0 GB | No |
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Quantization format
Quantization formatquant_format1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| fp8 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
MiniMax M2.7 scores 39.39% on Terminal-Bench
artificial_analysisMiniMax M2.7 scores 55.43% on Terminal-Bench
artificial_analysisMiniMax M2.7 scores 29.61% on Humanity's Last Exam
artificial_analysisMiniMax M2.7 scores 23.22 on Artificial Analysis Intelligence Index
artificial_analysisTogether AI lists MiniMax M2.7 at $0.3 in / $1.2 out per 1M tokens
together_pricingMiniMax M2.7: release date changed from 2026-04-09 to 2026-03-18
Release date9 Apr 2026→18 Mar 2026openrouterMiniMax M2.7: release date changed from 2026-03-18 to 2026-04-09
Release date18 Mar 2026→9 Apr 2026huggingfaceMiniMax API lists MiniMax M2.7 at $0.3 in / $1.2 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Groq — docs & pricing | console.groq.com/docs/models | model_docs | T1· Official | 52 min ago | 2 |
| Together AI — pricing | together.ai/pricing | pricing | T1· Official | 1 h ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=MiniMaxAI&p=0&sort=downloads | listing | T2· Quality secondary | 51 min ago | 3 |
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 1 h ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 1 h ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/MiniMaxAI/MiniMax-M2.7/raw/main/README.md | model_card | T2· Quality secondary | 1 h ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/MiniMaxAI/MiniMax-M2.7 | model_page | T2· Quality secondary | 2 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.