Kimi K2.6 vs Magistral Small 2506
Kimi K2.6 (2026) and Magistral Small 2506 (2025) compare a coding-specialized model against a standalone API model. Kimi K2.6 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 K2.6 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 K2.6 | 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 | $3.49/1M tokens | - |
| Provider routes | 9 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Kimi K2.6 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.6 has broader tracked provider coverage for fallback and route flexibility.
- Kimi K2.6 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Kimi K2.6 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 K2.6
$1,457
Cheapest tracked route/tier: OpenRouter
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
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Kimi K2.6 adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-20 | 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 |
| Weights | Available·Moonshot Modified MIT License | Unknown |
| Code | Available·Moonshot Modified MIT License | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-04 | 2025-06 |
Pricing and availability
| Pricing attribute | Kimi K2.6 | Magistral Small 2506 |
|---|---|---|
| Input price | $0.73/1M tokens | - |
| Output price | $3.49/1M tokens | - |
| Providers |
Capabilities
| Capability | Kimi K2.6 | Magistral Small 2506 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| JSON / 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.
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.