How does MiniMax M2.1 rank among AI models?
MiniMax M2.1 is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
MiniMax·minimax/minimax-m2.1
MiniMax M2.1 is ModelCap archive rank #181 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
MiniMax M2.1 listed OpenRouter input price is $0.30 per 1M tokens and listed output price is $1.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
MiniMax M2.1 has a published context limit of 205K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
MiniMax M2.1 has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
MiniMax M2.1 weight access is restricted license, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
Superseded by MiniMax M3. It no longer holds a current-board position; its all-versions archive rank is #181.
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Missing: artifactReproducibility.base-lineage, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
Arena has published current community results for Preview. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.
Current board through 13 Sept 2026, 00:00 UTC
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.
MiniMax M2.1 is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
MiniMax M2.1 is listed at $0.30 per 1M input tokens and $1.20 per 1M output tokens as of 22 September 2026 across 2 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.20 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
MiniMax M2.1 has a published context window of 205K tokens (204,800) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Restricted license (modified-mit). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is MiniMaxAI/MiniMax-M2.1 on Hugging Face.
2 providers serve MiniMax M2.1 through OpenRouter as of 22 September 2026: Novita and Minimax. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
MiniMax M2.1 has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1438 (#156 of 397), AA τ²-Bench Telecom 85.4% (#98 of 436) and AA Humanity's Last Exam 23.2% (#157 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
MiniMax M2.1 first appeared in the catalogue on 23 Dec 2025. It has since been superseded by MiniMax M3. Rank and price movements since then are recorded on the site's changes feed.