Kimi K2.7-Code vs Kimi K2 Thinking Turbo
Kimi K2.7-Code (2026) and Kimi K2 Thinking Turbo (2025) compare a coding-specialized model against a standalone API model. Kimi K2.7-Code ships a 262k-token context window, while Kimi K2 Thinking Turbo ships a 262k-token context window. On pricing, Kimi K2.7-Code costs $0.95/1M input tokens versus $1.15/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Kimi K2.7-Code is coding-specialized model, while Kimi K2 Thinking Turbo is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Kimi K2.7-Code | Kimi K2 Thinking Turbo |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 262k | 262k |
| Cheapest output | $4/1M tokens | $8/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Kimi K2.7-Code has the lower cheapest tracked output price at $4/1M tokens.
- Kimi K2.7-Code uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Kimi K2.7-Code for Coding, RAG, and Agents.
- Local decision data tags Kimi K2 Thinking Turbo for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Kimi K2.7-Code
$1,760
Cheapest tracked route/tier: Moonshot AI Kimi
Kimi K2 Thinking Turbo
$2,920
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $1,160. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Kimi K2.7-Code and Kimi K2 Thinking Turbo; plan for SDK, billing, or endpoint changes.
- Kimi K2 Thinking Turbo is $4/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Kimi K2 Thinking Turbo and Kimi K2.7-Code; plan for SDK, billing, or endpoint changes.
- Kimi K2.7-Code is $4/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Kimi K2.7-Code adds Vision, Multimodal, and Reasoning in local capability data.
Specs
Pricing and availability
| Pricing attribute | Kimi K2.7-Code | Kimi K2 Thinking Turbo |
|---|---|---|
| Input price | $0.95/1M tokens | $1.15/1M tokens |
| Output price | $4/1M tokens | $8/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2.7-Code | Kimi K2 Thinking Turbo |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Kimi K2.7-Code, multimodal input: Kimi K2.7-Code, reasoning mode: Kimi K2.7-Code, function calling: Kimi K2.7-Code, tool use: Kimi K2.7-Code, and structured outputs: Kimi K2.7-Code. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Kimi K2.7-Code lists $0.95/1M input and $4/1M output tokens on the cheapest tracked provider, while Kimi K2 Thinking Turbo lists $1.15/1M input and $8/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.7-Code lower by about $1.34 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Kimi K2.7-Code when coding workflow support and lower input-token cost are central to the workload. Choose Kimi K2 Thinking Turbo when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Kimi K2.7-Code or Kimi K2 Thinking Turbo?
Kimi K2.7-Code supports 262k tokens, while Kimi K2 Thinking Turbo supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Kimi K2.7-Code or Kimi K2 Thinking Turbo?
Kimi K2.7-Code is cheaper on tracked token pricing. Kimi K2.7-Code costs $0.95/1M input and $4/1M output tokens. Kimi K2 Thinking Turbo costs $1.15/1M input and $8/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2.7-Code or Kimi K2 Thinking Turbo open source?
Kimi K2.7-Code is listed under MIT. Kimi K2 Thinking Turbo is listed under MIT. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Kimi K2.7-Code or Kimi K2 Thinking Turbo?
Kimi K2.7-Code has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Kimi K2.7-Code or Kimi K2 Thinking Turbo?
Kimi K2.7-Code has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Kimi K2.7-Code and Kimi K2 Thinking Turbo?
Kimi K2.7-Code is available on Moonshot AI Kimi. Kimi K2 Thinking Turbo is available on Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-20. Data sourced from public model cards and provider documentation.