LLM Reference

CoBuddy vs Qwen3.5-9B

CoBuddy (2026) and Qwen3.5-9B (2026) compare a coding-specialized model against a standalone API model. CoBuddy ships a 131k-token context window, while Qwen3.5-9B ships a 262k-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: CoBuddy is coding-specialized model, while Qwen3.5-9B is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalCoBuddyQwen3.5-9B
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents, code generation, and tool loopsmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window131k262k
Cheapest output-$0.15/1M tokens
Provider routes1 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose CoBuddy when...
  • CoBuddy uniquely exposes Reasoning in local model data.
  • Local decision data tags CoBuddy for Coding, RAG, and Agents.
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 Structured outputs in local model data.
  • Local decision data tags Qwen3.5-9B for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

CoBuddy

Unavailable

No complete token price in local provider data

Qwen3.5-9B

$118

Cheapest tracked route/tier: Together AI

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

Switch friction

CoBuddy -> Qwen3.5-9B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Qwen3.5-9B adds Vision, Multimodal, and Structured outputs in local capability data.
Qwen3.5-9B -> CoBuddy
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
  • CoBuddy adds Reasoning in local capability data.

Specs

Specification
Released2026-05-062026-03-02
Context window131k262k
Parameters9B
Architecturedecoder onlydecoder only
LicenseProprietaryApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeCoBuddyQwen3.5-9B
Input price-$0.10/1M tokens
Output price-$0.15/1M tokens
Providers

Capabilities

CapabilityCoBuddyQwen3.5-9B
VisionNoYes
MultimodalNoYes
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsNoYes
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 vision: Qwen3.5-9B, multimodal input: Qwen3.5-9B, reasoning mode: CoBuddy, and structured outputs: Qwen3.5-9B. Both models share function calling and tool use, 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: CoBuddy has no token price sourced yet and Qwen3.5-9B has $0.10/1M input tokens. Provider availability is 1 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose CoBuddy when coding workflow support are central to the workload. Choose Qwen3.5-9B when long-context analysis, larger context windows, 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, CoBuddy or Qwen3.5-9B?

Qwen3.5-9B supports 262k tokens, while CoBuddy supports 131k 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 CoBuddy or Qwen3.5-9B open source?

CoBuddy is listed under Proprietary. Qwen3.5-9B 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 vision, CoBuddy or Qwen3.5-9B?

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, CoBuddy or Qwen3.5-9B?

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 reasoning mode, CoBuddy or Qwen3.5-9B?

CoBuddy 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.

Where can I run CoBuddy and Qwen3.5-9B?

CoBuddy is available on OpenRouter. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. 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.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.