MiniMax M2.5 vs Kimi K2.7 Code
At a Glance
| Compare |  MiniMax M2.5MiniMax |  Kimi K2.7 CodeMoonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #9 of 44$0.043 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.27Openrouter ↗ · Aug 28, 2026 | $0.68Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.08Openrouter ↗ · Aug 28, 2026 | $3.30Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 197K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | MiniMax-M2.5 | Kimi K2.7 Code |
|---|---|---|
| Developer | MiniMax | Moonshot AI |
| Family | Minimax M2 5 | Kimi K2 7 |
| Model | MiniMax-M2.5 | Kimi K2.7 Code |
| Version | MiniMax-M2.5 | Kimi K2.7 Code |
| Lifecycle | active | active |
| Released | 2026-02-12 | 2026-06-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 197K | 262K |
| Total parameters | 228.7B | 1T |
| Active parameters | Unknown | 32B |
| License | other | modified-mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, coding, reasoning, tools, vision |
MiniMax M2.5 Capabilities
Kimi K2.7 Code Capabilities
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MiniMax-M2.5MiniMax | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Grok 4.6xAI | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
MiniMax-M2.5MiniMax | vs |  GLM-5.3Z.ai | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Hy4 previewTencent | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
MiniMax M2.5 vs Kimi K2.7 Code FAQs
Is MiniMax M2.5 or Kimi K2.7 Code better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax M2.5 or Kimi K2.7 Code?+
MiniMax M2.5 is $0.27 and Kimi K2.7 Code is $0.68 per million tokens, so MiniMax M2.5 is cheaper on this metric. MiniMax M2.5 is $1.08 and Kimi K2.7 Code is $3.30 per million tokens, so MiniMax M2.5 is cheaper on this metric.
Which has a larger context window, MiniMax M2.5 or Kimi K2.7 Code?+
Kimi K2.7 Code has the larger sourced context window. MiniMax M2.5 supports 197K and Kimi K2.7 Code supports 262K.
Which performs better in benchmarks, MiniMax M2.5 or Kimi K2.7 Code?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MiniMax M2.5 or Kimi K2.7 Code be self-hosted?+
Both models have the same recorded self-hosting status: supported. MiniMax M2.5 is open weight; Kimi K2.7 Code is open weight.
Can MiniMax M2.5 and Kimi K2.7 Code understand images?+
MiniMax M2.5 is not documented with image input; Kimi K2.7 Code is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax M2.5 or Kimi K2.7 Code?+
Neither has a larger sourced maximum output. MiniMax M2.5 is — and Kimi K2.7 Code is —.
Do MiniMax M2.5 and Kimi K2.7 Code support reasoning and tool use?+
MiniMax M2.5: tool calling. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax M2.5 or Kimi K2.7 Code?+
MiniMax M2.5 has 2 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, MiniMax M2.5 or Kimi K2.7 Code?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.