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Kimi K2 0905 Preview vs Qwen3-Max

Kimi K2 0905 Preview (2025) and Qwen3-Max (2026) are compact production models from Moonshot AI and Alibaba. Kimi K2 0905 Preview ships a 262K-token context window, while Qwen3-Max ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Qwen3-Max is safer overall; choose Kimi K2 0905 Preview when long-context analysis matters.

Decision scorecard

Local evidence first
SignalKimi K2 0905 PreviewQwen3-Max
Decision fitRAG, Agents, and Long contextCoding, RAG, and Agents
Context window262K128K
Cheapest output-$3.9/1M tokens
Provider routes0 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.
  • Local decision data tags Kimi K2 0905 Preview for RAG, Agents, and Long context.
Choose Qwen3-Max when...
  • Qwen3-Max has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3-Max uniquely exposes Vision, Multimodal, and Tool use in local model data.
  • Local decision data tags Qwen3-Max for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Kimi K2 0905 Preview

Unavailable

No complete token price in local provider data

Qwen3-Max

$1,599

Cheapest tracked route: OpenRouter

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Kimi K2 0905 Preview -> Qwen3-Max
  • No overlapping tracked provider route is sourced for Kimi K2 0905 Preview and Qwen3-Max; plan for SDK, billing, or endpoint changes.
  • Qwen3-Max adds Vision, Multimodal, and Tool use in local capability data.
Qwen3-Max -> Kimi K2 0905 Preview
  • No overlapping tracked provider route is sourced for Qwen3-Max and Kimi K2 0905 Preview; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Tool use before moving production traffic.

Specs

Specification
Released2025-09-052026-01-15
Context window262K128K
Parameters1K
Architecture-decoder only
LicenseProprietaryProprietary
Knowledge cutoff-2025-12

Pricing and availability

Pricing attributeKimi K2 0905 PreviewQwen3-Max
Input price-$0.78/1M tokens
Output price-$3.9/1M tokens
Providers-

Capabilities

CapabilityKimi K2 0905 PreviewQwen3-Max
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingYesYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Qwen3-Max, multimodal input: Qwen3-Max, tool use: Qwen3-Max, and structured outputs: Qwen3-Max. Both models share function calling, 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 no token price sourced yet and Qwen3-Max has $0.78/1M input tokens. Provider availability is 0 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 Qwen3-Max when vision-heavy evaluation 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. 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 Qwen3-Max?

Kimi K2 0905 Preview supports 262K tokens, while Qwen3-Max 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 Qwen3-Max open source?

Kimi K2 0905 Preview is listed under Proprietary. Qwen3-Max is listed under Proprietary. 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 0905 Preview or Qwen3-Max?

Qwen3-Max 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 0905 Preview or Qwen3-Max?

Qwen3-Max 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 function calling, Kimi K2 0905 Preview or Qwen3-Max?

Both Kimi K2 0905 Preview and Qwen3-Max expose function calling. 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 0905 Preview and Qwen3-Max?

Kimi K2 0905 Preview is available on the tracked providers still being sourced. Qwen3-Max is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.