Model Comparison

Kimi-k2.5 vs MiniMax-M2.7

Compare the listed model data for Kimi-k2.5 by Moonshot AI and MiniMax-M2.7 by MiniMax. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

Kimi-k2.5: 256K tokens; MiniMax-M2.7: 1M tokens. MiniMax-M2.7 has the larger listed context window. Kimi-k2.5 is listed for no specific capability flags; MiniMax-M2.7 is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

Computed differences from catalog data

  • The listed context windows are 256K tokens and 1M tokens; the larger is 3.91× the smaller.
  • No shared benchmark labels are present in both catalog records.
  • A release-date gap cannot be calculated from the catalog values (Kimi-k2.5: July 2025; MiniMax-M2.7: 2025).

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose Kimi-k2.5 if…

Choose Kimi-k2.5 when your task aligns with catalog-listed uses or strengths such as Long agentic workflows requiring sustained context, Complex software refactoring across large codebases, Extended 256K context vs K2's 128K, Enhanced tool use for multi-step autonomous tasks.

Choose MiniMax-M2.7 if…

Choose MiniMax-M2.7 when your task aligns with catalog-listed uses or strengths such as Frontier long-context reasoning and analysis, Production AI pipelines requiring MiniMax's best capabilities, Latest MiniMax model — most capable in the M2 family, 1M context with improved accuracy.

Kimi-k2.5

Browse Moonshot AI models

Faster Kimi variant — strong K2 capabilities at reduced inference cost. Great for agentic coding tasks.

Parameters: 1T total (32B active)

Context: 256K tokens

Catalog pricing: Moonshot API: beta

Moonshot AI General Purpose Open Source

View Kimi-k2.5 model profile

MiniMax-M2.7

Browse MiniMax models

Latest MiniMax flagship — M2.7 with 1M+ context, frontier reasoning, and strong coding capabilities.

Parameters: Large MoE

Context: 1M tokens

Catalog pricing: MiniMax API pricing

MiniMax General Purpose Open Source

View MiniMax-M2.7 model profile

Feature Comparison — Kimi-k2.5 vs MiniMax-M2.7

Catalog specifications for Kimi-k2.5 and MiniMax-M2.7
Specification Kimi-k2.5 MiniMax-M2.7
Provider Moonshot AI MiniMax
Parameters 1T total (32B active) Large MoE
Context window 256K tokens 1M tokens
Maximum output Not listed Not listed
Catalog pricing Moonshot API: beta MiniMax API pricing
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed Separate numeric input/output rates not listed
License Kimi K2 Model License MiniMax Model License
Coding support Not listed Not listed
Reasoning support Not listed Not listed
Vision input Not listed Not listed
Multimodal Not listed Not listed
Open weights Yes Yes

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between Kimi-k2.5 and MiniMax-M2.7?
Kimi-k2.5: 256K tokens; MiniMax-M2.7: 1M tokens. MiniMax-M2.7 has the larger listed context window. Kimi-k2.5 is listed for no specific capability flags; MiniMax-M2.7 is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Kimi-k2.5 and MiniMax-M2.7?
No shared benchmark labels are listed in these model records. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Kimi-k2.5: 256K tokens; MiniMax-M2.7: 1M tokens. MiniMax-M2.7 has the larger listed context window.
What are the listed costs per million tokens for Kimi-k2.5 and MiniMax-M2.7?
Kimi-k2.5: Separate numeric input/output rates not listed (Moonshot API: beta). MiniMax-M2.7: Separate numeric input/output rates not listed (MiniMax API pricing). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Kimi-k2.5 and MiniMax-M2.7?
The catalog lists Kimi-k2.5 as July 2025 and MiniMax-M2.7 as 2025; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Kimi-k2.5 and MiniMax-M2.7?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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