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Qwen3.5-9B vs Swallow 30B

Qwen3.5-9B (2026) and Swallow 30B (2025) are compact production models from Alibaba and Tokyo Institute of Technology. Qwen3.5-9B ships a 262K-token context window, while Swallow 30B ships a 16K-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.

Qwen3.5-9B fits 16x more tokens; pick it for long-context work and Swallow 30B for tighter calls.

Decision scorecard

Local evidence first
SignalQwen3.5-9BSwallow 30B
Decision fitRAG, Agents, and Long contextGeneral
Context window262K16K
Cheapest output$0.15/1M tokens-
Provider routes3 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Qwen3.5-9B when...
  • Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3.5-9B uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Qwen3.5-9B for RAG, Agents, and Long context.
Choose Swallow 30B when...
  • Use Swallow 30B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

Qwen3.5-9B

$118

Cheapest tracked route: Together AI

Swallow 30B

Unavailable

No complete token price in local provider data

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

Switch friction

Qwen3.5-9B -> Swallow 30B
  • No overlapping tracked provider route is sourced for Qwen3.5-9B and Swallow 30B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Swallow 30B -> Qwen3.5-9B
  • No overlapping tracked provider route is sourced for Swallow 30B and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-9B adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2026-03-022025-02-14
Context window262K16K
Parameters9B30B
Architecturedecoder only-
LicenseApache 2.0Open Source
Knowledge cutoff--

Pricing and availability

Pricing attributeQwen3.5-9BSwallow 30B
Input price$0.1/1M tokens-
Output price$0.15/1M tokens-
Providers-

Capabilities

CapabilityQwen3.5-9BSwallow 30B
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Qwen3.5-9B, multimodal input: Qwen3.5-9B, function calling: Qwen3.5-9B, tool use: Qwen3.5-9B, and structured outputs: Qwen3.5-9B. 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: Qwen3.5-9B has $0.1/1M input tokens and Swallow 30B has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Qwen3.5-9B when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Swallow 30B 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, Qwen3.5-9B or Swallow 30B?

Qwen3.5-9B supports 262K tokens, while Swallow 30B supports 16K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Is Qwen3.5-9B or Swallow 30B open source?

Qwen3.5-9B is listed under Apache 2.0. Swallow 30B 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 vision, Qwen3.5-9B or Swallow 30B?

Qwen3.5-9B 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, Qwen3.5-9B or Swallow 30B?

Qwen3.5-9B 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, Qwen3.5-9B or Swallow 30B?

Qwen3.5-9B 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 Qwen3.5-9B and Swallow 30B?

Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. Swallow 30B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.