LLM Reference

Kimi K2 0905 Preview vs Magistral Small 2506

Kimi K2 0905 Preview (2025) and Magistral Small 2506 (2025) are frontier reasoning models from Moonshot AI and MistralAI. Kimi K2 0905 Preview ships a 262k-token context window, while Magistral Small 2506 ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Kimi K2 0905 Preview is safer overall; choose Magistral Small 2506 when reasoning depth matters.

Decision scorecard

Local evidence first
SignalKimi K2 0905 PreviewMagistral Small 2506
Best fortool-calling agentsreasoning-heavy apps
Decision fitRAG, Agents, and Long contextLong context
Context window262k128k
Cheapest output$2.50/1M tokens-
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Kimi K2 0905 Preview when...
  • Kimi K2 0905 Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Kimi K2 0905 Preview uniquely exposes Function calling in local model data.
  • Local decision data tags Kimi K2 0905 Preview for RAG, Agents, and Long context.
Choose Magistral Small 2506 when...
  • Magistral Small 2506 uniquely exposes Reasoning in local model data.
  • 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 0905 Preview

$1,105

Cheapest tracked route/tier: Novita AI

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

Kimi K2 0905 Preview -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for Kimi K2 0905 Preview and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling before moving production traffic.
  • Magistral Small 2506 adds Reasoning in local capability data.
Magistral Small 2506 -> Kimi K2 0905 Preview
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and Kimi K2 0905 Preview; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Kimi K2 0905 Preview adds Function calling in local capability data.

Specs

Specification
Released2025-09-052025-06-10
Context window262k128k
Parameters1K24B
Architecture-decoder only
LicenseMIT(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff-2025-06

Pricing and availability

Pricing attributeKimi K2 0905 PreviewMagistral Small 2506
Input price$0.60/1M tokens-
Output price$2.50/1M tokens-
Providers

Capabilities

CapabilityKimi K2 0905 PreviewMagistral Small 2506
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingYesNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Magistral Small 2506 and function calling: Kimi K2 0905 Preview. 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.

Pricing coverage is uneven: Kimi K2 0905 Preview has $0.60/1M 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 0905 Preview when long-context analysis and larger context windows are central to the workload. Choose Magistral Small 2506 when reasoning depth 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Kimi K2 0905 Preview or Magistral Small 2506?

Kimi K2 0905 Preview 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 0905 Preview or Magistral Small 2506 open source?

Kimi K2 0905 Preview 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 reasoning mode, Kimi K2 0905 Preview or Magistral Small 2506?

Magistral Small 2506 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Kimi K2 0905 Preview or Magistral Small 2506?

Kimi K2 0905 Preview has the clearer documented function calling signal in this comparison. If function calling 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 0905 Preview and Magistral Small 2506?

Kimi K2 0905 Preview is available on Novita AI. 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.

When should I pick Kimi K2 0905 Preview over Magistral Small 2506?

Kimi K2 0905 Preview is safer overall; choose Magistral Small 2506 when reasoning depth matters. If your workload also depends on long-context analysis, start with Kimi K2 0905 Preview; if it depends on reasoning depth, run the same evaluation with Magistral Small 2506.

Continue comparing

Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.