Kimi K2 0905 Preview vs Qwen3-105B
Kimi K2 0905 Preview (2025) and Qwen3-105B (2025) are compact production models from Moonshot AI and Alibaba. Kimi K2 0905 Preview ships a 262K-token context window, while Qwen3-105B 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.
Qwen3-105B is safer overall; choose Kimi K2 0905 Preview when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Kimi K2 0905 Preview | Qwen3-105B |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | RAG, Agents, and Long context |
| Context window | 262K | 128k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- Qwen3-105B uniquely exposes Tool use in local model data.
- Local decision data tags Qwen3-105B for RAG, Agents, and Long context.
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
Qwen3-105B
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 0905 Preview and Qwen3-105B; plan for SDK, billing, or endpoint changes.
- Qwen3-105B adds Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen3-105B and Kimi K2 0905 Preview; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-05 | 2025-12-15 |
| Context window | 262K | 128k |
| Parameters | 1K | 105B |
| Architecture | - | - |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Kimi K2 0905 Preview | Qwen3-105B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Kimi K2 0905 Preview | Qwen3-105B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on tool use: Qwen3-105B. 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 Qwen3-105B has no token price sourced yet. Provider availability is 0 tracked routes versus 0. 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 Qwen3-105B 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. 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 Qwen3-105B?
Kimi K2 0905 Preview supports 262K tokens, while Qwen3-105B 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 Qwen3-105B open source?
Kimi K2 0905 Preview is listed under Proprietary. Qwen3-105B is listed under Open Source. 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 function calling, Kimi K2 0905 Preview or Qwen3-105B?
Both Kimi K2 0905 Preview and Qwen3-105B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for tool use, Kimi K2 0905 Preview or Qwen3-105B?
Qwen3-105B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick Kimi K2 0905 Preview over Qwen3-105B?
Qwen3-105B is safer overall; choose Kimi K2 0905 Preview when long-context analysis matters. If your workload also depends on long-context analysis, start with Kimi K2 0905 Preview; if it depends on provider fit, run the same evaluation with Qwen3-105B.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.