Kimi K2 Thinking vs Kimi K2.7 Code
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Kimi-K2-Thinking | Kimi K2.7 Code |
|---|---|---|
| Developer | Moonshot AI | Moonshot AI |
| Family | Kimi K2 Thinking | Kimi K2 7 |
| Model | Kimi-K2-Thinking | Kimi K2.7 Code |
| Version | Kimi-K2-Thinking | Kimi K2.7 Code |
| Lifecycle | active | active |
| Released | 2025-11-06 | 2026-06-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 1T | 1T |
| Active parameters | 32B | 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, reasoning, tools | agents, chat, coding, reasoning, tools, vision |
17 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Kimi K2 Thinking Capabilities
Kimi K2.7 Code Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Kimi K2 Thinking vs Kimi K2.7 Code FAQs
Is Kimi K2 Thinking or Kimi K2.7 Code better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K2 Thinking or Kimi K2.7 Code?+
Kimi K2 Thinking is $0.60 and Kimi K2.7 Code is $0.66 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and Kimi K2.7 Code is $3.40 per million tokens, so Kimi K2 Thinking is cheaper on this metric.
Which has a larger context window, Kimi K2 Thinking or Kimi K2.7 Code?+
Neither model has a larger sourced context window in this comparison. Kimi K2 Thinking is 262K and Kimi K2.7 Code is 262K.
Which performs better in benchmarks, Kimi K2 Thinking 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 Kimi K2 Thinking or Kimi K2.7 Code be self-hosted?+
Both models have the same recorded self-hosting status: supported. Kimi K2 Thinking is open weight; Kimi K2.7 Code is open weight.
Can Kimi K2 Thinking and Kimi K2.7 Code understand images?+
Kimi K2 Thinking 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, Kimi K2 Thinking or Kimi K2.7 Code?+
Neither has a larger sourced maximum output. Kimi K2 Thinking is 131K and Kimi K2.7 Code is —.
Do Kimi K2 Thinking and Kimi K2.7 Code support reasoning and tool use?+
Kimi K2 Thinking: reasoning and 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, Kimi K2 Thinking or Kimi K2.7 Code?+
Kimi K2 Thinking has 2 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, Kimi K2 Thinking 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.