MiniMax model product
7 is an LLM for software engineering, office tasks, and other complex productivity tasks.
Updated Oct 23, 2026. Default version: MiniMax M2.7
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiniMax M2.7.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMM-ClawBench | Score62.70% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMulti-SWE-Bench | Score52.70% | Rank01 | Participants7 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkVIBE-Pro | Score55.60% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMLE-Bench Lite | Score66.60% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkArtificial Analysis | Score50.00% | Rank11 | Participants13 | Percentile16.67% | EvidenceC | Evaluated |
| BenchmarkSWE-bench Multilingual | Score76.50% | Rank15 | Participants50 | Percentile71.43% | EvidenceC | Evaluated |
| BenchmarkAA IFBench | Score75.71% | Rank19 | Participants168 | Percentile89.22% | EvidenceB | EvaluatedN/A |
| BenchmarkNL2Repo | Score39.80% | Rank22 | Participants25 | Percentile12.50% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.0 | Score57.00% | Rank26 | Participants53 | Percentile51.92% | EvidenceC | Evaluated |
| BenchmarkFinance Agent v2 | Score27.89% | Rank29 | Participants29 | Percentile0.00% | EvidenceB | Evaluated |
| BenchmarkToolathlon | Score46.30% | Rank30 | Participants42 | Percentile29.27% | EvidenceC | Evaluated |
| BenchmarkAA SciCode Subtasks | Score50.12% | Rank32 | Participants89 | Percentile64.77% | EvidenceB | EvaluatedN/A |
| BenchmarkAA LCR v1.1 | Score78.33% | Rank39 | Participants193 | Percentile80.21% | EvidenceB | EvaluatedN/A |
| BenchmarkSWE-Bench Pro | Score56.20% | Rank40 | Participants63 | Percentile37.10% | EvidenceC | Evaluated |
| BenchmarkAA GPQA Diamond | Score87.37% | Rank50 | Participants199 | Percentile75.25% | EvidenceB | EvaluatedN/A |
| BenchmarkAA HLE Text No Tools | Score29.61% | Rank51 | Participants200 | Percentile74.87% | EvidenceB | EvaluatedN/A |
| BenchmarkLM Arena Webdev | Score1,398.54 rating | Rank71 | Participants107 | Percentile33.96% | EvidenceA | Evaluated |
| BenchmarkAA Omniscience Accuracy | Score26.80% | Rank75 | Participants201 | Percentile63.00% | EvidenceB | EvaluatedN/A |
| BenchmarkLM Arena Text Factuality | Score1,421.91 rating | Rank95 | Participants131 | Percentile27.69% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,414.90 rating | Rank102 | Participants218 | Percentile53.46% | EvidenceA | Evaluated |
| BenchmarkAA CritPt | Score0.57% | Rank105 | Participants200 | Percentile47.74% | EvidenceB | EvaluatedN/A |
| BenchmarkLM Arena Text | Score1,404.68 rating | Rank110 | Participants218 | Percentile49.77% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext factuality | Categorygerman | Rank37 | Rating / score1,386.08 | Votes729 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryjapanese | Rank39 | Rating / score1,320.10 | Votes666 | ObservationsN/A | Result date |
| Arenatext factuality | Categorykorean | Rank44 | Rating / score1,325.61 | Votes842 | ObservationsN/A | Result date |
| Arenatext factuality | Categorypolish | Rank44 | Rating / score1,395.77 | Votes995 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank59 | Rating / score1,436.00 | Votes3,714 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryfrench | Rank61 | Rating / score1,447.92 | Votes2,571 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryexpert | Rank66 | Rating / score1,463.93 | Votes7,167 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-react | Rank67 | Rating / score1,387.79 | Votes12,618 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycoding | Rank68 | Rating / score1,491.63 | Votes23,128 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymath | Rank68 | Rating / score1,427.04 | Votes3,498 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryspanish | Rank69 | Rating / score1,409.28 | Votes2,145 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-html | Rank70 | Rating / score1,401.37 | Votes1,976 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts english | Rank71 | Rating / score1,470.94 | Votes22,876 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank71 | Rating / score1,398.54 | Votes15,972 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank71 | Rating / score1,398.54 | Votes15,972 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank72 | Rating / score1,453.88 | Votes24,504 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank73 | Rating / score1,443.05 | Votes8,645 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank76 | Rating / score1,460.43 | Votes4,497 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry mathematical | Rank78 | Rating / score1,437.38 | Votes4,620 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry legal and government | Rank78 | Rating / score1,435.18 | Votes5,420 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry medicine and healthcare | Rank78 | Rating / score1,451.54 | Votes4,696 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryinstruction following | Rank80 | Rating / score1,425.27 | Votes27,868 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank81 | Rating / score1,440.61 | Votes24,068 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry software and it services | Rank81 | Rating / score1,472.14 | Votes33,983 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank81 | Rating / score1,439.51 | Votes4,620 | ObservationsN/A | Result date |
| Arenatext factuality | Categorylonger query | Rank82 | Rating / score1,444.21 | Votes35,687 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexpert | Rank82 | Rating / score1,452.77 | Votes8,645 | ObservationsN/A | Result date |
| Arenatext style control | Categorycoding | Rank83 | Rating / score1,480.16 | Votes24,504 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry software and it services | Rank83 | Rating / score1,467.86 | Votes34,808 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry software and it services | Rank85 | Rating / score1,445.53 | Votes34,808 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderMiniMax Token Plan (minimax.cn) | Provider model IDMiniMax-M2.7 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderMiniMax Token Plan (minimax.cn) | Provider model IDMiniMax-M2.7-highspeed | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderUnoRouter | Provider model IDminimax-m2.7:free | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderMiniMax Token Plan (minimax.io) | Provider model IDMiniMax-M2.7 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderMiniMax Token Plan (minimax.io) | Provider model IDMiniMax-M2.7-highspeed | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderSCNet Token Plan | Provider model IDMiniMax-M2.7 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDminimax-m2.7 | Regionglobal | Input / 1M$0.08 | Output / 1M$0.32 | Context204.8K | Updated |
| ProviderEmpirioLabs AI | Provider model IDminimax-m2-7 | Regionglobal | Input / 1M$0.15 | Output / 1M$0.60 | Context200K | Updated |
| ProviderNanoGPT | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.21 | Output / 1M$0.84 | Context204.8K | Updated |
| ProviderDeep Infra | Provider model IDMiniMaxAI/MiniMax-M2.7 | Regionglobal | Input / 1M$0.25 | Output / 1M$1 | Context196.6K | Updated |
| ProviderPioneer | Provider model IDMiniMaxAI/MiniMax-M2.7 | Regionglobal | Input / 1M$0.279 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderMoark | Provider model IDMiniMax-M2.7 | Regionglobal | Input / 1M$0.29 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderOrcaRouter | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderHugging Face | Provider model IDMiniMaxAI/MiniMax-M2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderOpenRouter | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderAuriko | Provider model IDminimax-m2-7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderAlibaba (China) | Provider model IDMiniMax/MiniMax-M2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderOpenCode Go | Provider model IDminimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderLLM Gateway | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderMerge Gateway | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderFastRouter | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderZenMux | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderOllama Cloud | Provider model IDminimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context196.6K | Updated |
| ProviderGMI Cloud | Provider model IDMiniMaxAI/MiniMax-M2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context196.6K | Updated |
| ProviderTogether AI | Provider model IDMiniMaxAI/MiniMax-M2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context196.6K | Updated |
| ProviderOfox | Provider model IDminimax/minimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| Provider302.AI | Provider model IDMiniMax-M2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderOpenCode | Provider model IDminimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderRequesty | Provider model IDminimax-m2.7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context200K | Updated |
| ProviderFrogBot | Provider model IDminimax-m2-7 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context192K | Updated |
Provider-specific output speed and catalog latency for MiniMax M2.7. Runtime does not affect the capability score.
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.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMiniMax M2.7 | Released | LLMBoard56.91 | ParametersN/A | Context204.8K | Max output196.6K | Open weightsNo | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about MiniMax M2.7 and its available data.
7 is a MiniMax large language model that supports complex agent harnesses, software engineering tasks, log analysis, code security, machine learning tasks, and Office Suite editing. 22% on SWE-Pro, has a 1495 ELO on GDPval-AA, and maintains 97% skill adherence on 40 complex skills cases.
Data as of 2026-10-22.
Common questions about MiniMax M2.7.
MiniMax M2.7's default version was released on Mar 18, 2026.
MiniMax M2.7's official API price is $0.30 per million input tokens and $1.2 per million output tokens via MiniMax (minimax.io). The lowest tracked third-party offer starts at $0.08 input and $0.32 output via DevPass (LLM Gateway).
MiniMax M2.7 was created by MiniMax.
The default version has a 204.8K token context window.
No. The default version is not marked as having publicly available weights.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
63 provider offerings are linked to the default version.