Phi-4 Mini Instruct vs Kimi K2 Thinking
At a Glance
| Compare | Phi-4 Mini InstructMicrosoft | Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.60Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.50Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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-Thinking |
|---|---|---|
| Developer | Microsoft | Moonshot AI |
| Family | Phi 4 Mini Instruct | Kimi K2 Thinking |
| Model | Phi-4-mini-instruct | Kimi-K2-Thinking |
| Version | Phi-4-mini-instruct | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | 2025-02-26 | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 3.8B | 1T |
| Active parameters | Unknown | 32B |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
Phi-4 Mini Instruct Capabilities
Kimi K2 Thinking Capabilities
Primary Evidence
Sources and Freshness
Questions
Phi-4 Mini Instruct vs Kimi K2 Thinking FAQs
Is Phi-4 Mini Instruct or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Mini Instruct and Kimi K2 Thinking, 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 Thinking?+
Only Kimi K2 Thinking has a directly sourced input price: $0.60 per million tokens. Only Kimi K2 Thinking has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Phi-4 Mini Instruct or Kimi K2 Thinking?+
Kimi K2 Thinking has the larger sourced context window. Phi-4 Mini Instruct supports 131K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, Phi-4 Mini Instruct or Kimi K2 Thinking?+
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 Thinking be self-hosted?+
Both models have the same recorded self-hosting status: supported. Phi-4 Mini Instruct is open weight; Kimi K2 Thinking is open weight.
Can Phi-4 Mini Instruct and Kimi K2 Thinking understand images?+
Phi-4 Mini Instruct is not documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Phi-4 Mini Instruct or Kimi K2 Thinking?+
Neither has a larger sourced maximum output. Phi-4 Mini Instruct is — and Kimi K2 Thinking is 131K.
Do Phi-4 Mini Instruct and Kimi K2 Thinking support reasoning and tool use?+
Phi-4 Mini Instruct: none of these features are definitively sourced. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Phi-4 Mini Instruct or Kimi K2 Thinking?+
Phi-4 Mini Instruct has 1 sourced provider route; Kimi K2 Thinking has 2, so Kimi K2 Thinking has broader tracked availability.
Which offers better value, Phi-4 Mini Instruct or Kimi K2 Thinking?+
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.