Kimi K2.7-Code vs Magistral Small 2506
Kimi K2.7-Code (2026) and Magistral Small 2506 (2025) compare a coding-specialized model against a standalone API model. Kimi K2.7-Code ships a 262k-token context window, while Magistral Small 2506 ships a 128k-token context window. 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 Magistral Small 2506 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 | Magistral Small 2506 |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | reasoning-heavy apps |
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 262k | 128k |
| Cheapest output | $4/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Kimi K2.7-Code has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.7-Code uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Kimi K2.7-Code for Coding, RAG, and Agents.
- Local decision data tags Magistral Small 2506 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
Magistral Small 2506
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Kimi K2.7-Code and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Magistral Small 2506 and Kimi K2.7-Code; plan for SDK, billing, or endpoint changes.
- Kimi K2.7-Code adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-06-12 | 2025-06-10 |
| Context window | 262k | 128k |
| Parameters | 1T | 24B |
| 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 | - | 2025-06 |
Pricing and availability
| Pricing attribute | Kimi K2.7-Code | Magistral Small 2506 |
|---|---|---|
| Input price | $0.95/1M tokens | - |
| Output price | $4/1M tokens | - |
| Providers |
Capabilities
| Capability | Kimi K2.7-Code | Magistral Small 2506 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| 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, function calling: Kimi K2.7-Code, tool use: Kimi K2.7-Code, and structured outputs: Kimi K2.7-Code. Both models share reasoning mode, 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.
Pricing coverage is uneven: Kimi K2.7-Code has $0.95/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Kimi K2.7-Code when coding workflow support and larger context windows are central to the workload. Choose Magistral Small 2506 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. 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 Magistral Small 2506?
Kimi K2.7-Code supports 262k tokens, while Magistral Small 2506 supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Kimi K2.7-Code or Magistral Small 2506 open source?
Kimi K2.7-Code is listed under MIT. Magistral Small 2506 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 Magistral Small 2506?
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 Magistral Small 2506?
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.
Which is better for reasoning mode, Kimi K2.7-Code or Magistral Small 2506?
Both Kimi K2.7-Code and Magistral Small 2506 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Kimi K2.7-Code and Magistral Small 2506?
Kimi K2.7-Code is available on Moonshot AI Kimi. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-06-14. Data sourced from public model cards and provider documentation.