Phi-4 Mini Instruct vs Kimi K2.7 Code
At a Glance
| Compare |  Phi-4 Mini InstructMicrosoft |  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$0.042 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.68Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.21Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 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 | Phi-4-mini-instruct | Kimi K2.7 Code |
|---|---|---|
| Developer | Microsoft | Moonshot AI |
| Family | Phi 4 Mini Instruct | Kimi K2 7 |
| Model | Phi-4-mini-instruct | Kimi K2.7 Code |
| Version | Phi-4-mini-instruct | Kimi K2.7 Code |
| Lifecycle | active | active |
| Released | 2025-02-26 | 2026-06-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 3.8B | 1T |
| Active parameters | Unknown | 32B |
| License | mit | modified-mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation | agents, chat, coding, reasoning, tools, vision |
Phi-4 Mini Instruct Capabilities
Kimi K2.7 Code Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Phi-4-mini-instructMicrosoft | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Phi-4-mini-instructMicrosoft | cross-developer peerstext |
 Gemini 3.1 ProGoogle DeepMind | vs | Phi-4-mini-instructMicrosoft | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Phi-4-mini-instructMicrosoft | cross-developer peerstext |
Phi-4-mini-instructMicrosoft | vs | Grok 4.6xAI | cross-developer peerstext |
Phi-4-mini-instructMicrosoft | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Phi-4-mini-instructMicrosoft | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Phi-4-mini-instructMicrosoft | cross-developer peerstext |
Phi-4-mini-instructMicrosoft | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Phi-4-mini-instructMicrosoft | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Phi-4-mini-instructMicrosoft | cross-developer peerstext |
Phi-4-mini-instructMicrosoft | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Phi-4 Mini Instruct vs Kimi K2.7 Code FAQs
Is Phi-4 Mini Instruct or Kimi K2.7 Code better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Mini Instruct and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Phi-4 Mini Instruct or Kimi K2.7 Code?+
Only Kimi K2.7 Code has a directly sourced input price: $0.68 per million tokens. Only Kimi K2.7 Code has a directly sourced output price: $3.21 per million tokens.
Which has a larger context window, Phi-4 Mini Instruct or Kimi K2.7 Code?+
Kimi K2.7 Code has the larger sourced context window. Phi-4 Mini Instruct supports 131K and Kimi K2.7 Code supports 262K.
Which performs better in benchmarks, Phi-4 Mini Instruct 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 Phi-4 Mini Instruct or Kimi K2.7 Code be self-hosted?+
Both models have the same recorded self-hosting status: supported. Phi-4 Mini Instruct is open weight; Kimi K2.7 Code is open weight.
Can Phi-4 Mini Instruct and Kimi K2.7 Code understand images?+
Phi-4 Mini Instruct 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, Phi-4 Mini Instruct or Kimi K2.7 Code?+
Neither has a larger sourced maximum output. Phi-4 Mini Instruct is — and Kimi K2.7 Code is —.
Do Phi-4 Mini Instruct and Kimi K2.7 Code support reasoning and tool use?+
Phi-4 Mini Instruct: none of these features are definitively sourced. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Phi-4 Mini Instruct or Kimi K2.7 Code?+
Phi-4 Mini Instruct has 1 sourced provider route; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, Phi-4 Mini Instruct 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.