Kimi K2.7-Code vs Qwen3.5-9B
Kimi K2.7-Code (2026) and Qwen3.5-9B (2026) compare a coding-specialized model against a standalone API model. Kimi K2.7-Code ships a 262k-token context window, while Qwen3.5-9B ships a 262k-token context window. On pricing, Qwen3.5-9B costs $0.10/1M input tokens versus $0.95/1M 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 Qwen3.5-9B 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 | Qwen3.5-9B |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 262k | 262k |
| Cheapest output | $4/1M tokens | $0.15/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Kimi K2.7-Code uniquely exposes Reasoning in local model data.
- Local decision data tags Kimi K2.7-Code for Coding, RAG, and Agents.
- Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
- Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen3.5-9B for Coding, RAG, and Agents.
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
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $1,643. 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 Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-9B is $3.85/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3.5-9B and Kimi K2.7-Code; plan for SDK, billing, or endpoint changes.
- Kimi K2.7-Code is $3.85/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Kimi K2.7-Code adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-06-12 | 2026-03-02 |
| Context window | 262k | 262k |
| Parameters | 1T | 9B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Kimi K2.7-Code | Qwen3.5-9B |
|---|---|---|
| Input price | $0.95/1M tokens | $0.10/1M tokens |
| Output price | $4/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2.7-Code | Qwen3.5-9B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| 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 reasoning mode: Kimi K2.7-Code. Both models share vision, multimodal input, function calling, and tool use, 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 Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-9B lower by about $1.75 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Kimi K2.7-Code when coding workflow support are central to the workload. Choose Qwen3.5-9B when vision-heavy evaluation, lower input-token cost, and broader provider choice 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Kimi K2.7-Code or Qwen3.5-9B?
Kimi K2.7-Code supports 262k tokens, while Qwen3.5-9B supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, Kimi K2.7-Code or Qwen3.5-9B?
Qwen3.5-9B is cheaper on tracked token pricing. Kimi K2.7-Code costs $0.95/1M input and $4/1M output tokens. Qwen3.5-9B costs $0.10/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2.7-Code or Qwen3.5-9B open source?
Kimi K2.7-Code is listed under MIT. Qwen3.5-9B is listed under Apache 2.0. 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 Qwen3.5-9B?
Both Kimi K2.7-Code and Qwen3.5-9B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. 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 Qwen3.5-9B?
Both Kimi K2.7-Code and Qwen3.5-9B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Kimi K2.7-Code and Qwen3.5-9B?
Kimi K2.7-Code is available on Moonshot AI Kimi. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.