MiniMax model product
MiniMax M1 80K
MiniMax M1 80K is an open-source reasoning model with a hybrid-attention architecture for long-context processing.
Updated Sep 8, 2026. Default version: MiniMax M1 80K
LLMBoard Score35.9MiniMax M1 80K
Coverage40%16 benchmark families
Context window1MTokens
Official input priceN/AOfficial price unavailable
MiniMax M1 80K Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
MiniMax M1 80K Benchmark Results
Benchmark scores for MiniMax M1 80K.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkOpenAI-MRCR: 2 needle 1M | Score56.20% | Rank02 | Participants5 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Airline | Score62.00% | Rank02 | Participants23 | Percentile95.45% | EvidenceC | Evaluated |
| BenchmarkOpenAI-MRCR: 2 needle 128k | Score73.40% | Rank03 | Participants9 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkLongBench v2 | Score61.50% | Rank05 | Participants17 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkZebraLogic | Score86.80% | Rank07 | Participants8 | Percentile14.29% | EvidenceC | Evaluated |
| BenchmarkMATH-500 | Score96.80% | Rank11 | Participants32 | Percentile67.74% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score86.00% | Rank15 | Participants53 | Percentile73.08% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Retail | Score63.50% | Rank18 | Participants25 | Percentile29.17% | EvidenceC | Evaluated |
| BenchmarkMulti-Challenge | Score44.70% | Rank19 | Participants29 | Percentile35.71% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score65.00% | Rank29 | Participants75 | Percentile62.16% | EvidenceC | Evaluated |
| BenchmarkSimpleQA | Score18.50% | Rank36 | Participants47 | Percentile23.91% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score81.10% | Rank52 | Participants138 | Percentile62.77% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score76.90% | Rank81 | Participants119 | Percentile32.20% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score56.00% | Rank89 | Participants113 | Percentile21.43% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score8.40% | Rank95 | Participants103 | Percentile7.84% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score70.00% | Rank139 | Participants247 | Percentile43.90% | EvidenceC | Evaluated |
MiniMax M1 80K Arena Results
Preference and agent-evaluation results for the default version.
No Arena results
The default version does not have a matching Arena result yet.
MiniMax M1 80K Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.6052 input, $2.42 output per 1M via NanoGPT
- Tracked offerings
- 1
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNanoGPT | Provider model IDMiniMaxAI/MiniMax-M1-80k | Regionglobal | Input / 1M$0.6052 | Output / 1M$2.42 | Context1M | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
MiniMax M1 80K Runtime Performance
Provider-specific output speed and catalog latency for MiniMax M1 80K. Runtime does not affect the capability score.
No runtime data
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
MiniMax M1 80K Specifications
Technical details for the model's default version.
- Version
- MiniMax M1 80K
- Released
- Jun 16, 2025
- Knowledge cutoff
- Unknown
- Parameters
- 456B
- Context window
- 1M
- Max output
- 40K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- MIT
MiniMax M1 80K Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMiniMax M1 80K | Released | LLMBoard35.85 | Parameters456B | Context1M | Max output40K | Open weightsYes | LicenseMIT |
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What is MiniMax M1 80K?
Key information about MiniMax M1 80K and its available data.
MiniMax M1 80K is an open-source, large-scale reasoning model from MiniMax. It supports up to a 1 million token context window and 80,000-token reasoning output.
Data as of 2026-09-08.
FAQ
Common questions about MiniMax M1 80K.
When was MiniMax M1 80K released?
MiniMax M1 80K's default version was released on Jun 16, 2025.
How much does MiniMax M1 80K cost?
No official standard PAYG price is currently available for MiniMax M1 80K. The lowest tracked third-party offer starts at $0.6052 input and $2.42 output via NanoGPT.
Who created MiniMax M1 80K?
MiniMax M1 80K was created by MiniMax.
What is the context window for MiniMax M1 80K?
The default version has a 1M token context window.
Is MiniMax M1 80K open weight?
Yes. The default version is marked as open weight under MIT.
How many API providers offer MiniMax M1 80K?
1 provider offerings are linked to the default version.