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Aya 23 8B vs Qwen3.5-9B

Aya 23 8B (2024) and Qwen3.5-9B (2026) are general-purpose language models from Cohere and Alibaba. Aya 23 8B ships a not-yet-sourced context window, while Qwen3.5-9B ships a 262K-token context window. On Google-Proof Q&A, Qwen3.5-9B leads by 36.5 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Qwen3.5-9B is safer overall; choose Aya 23 8B when provider fit matters.

Decision scorecard

Local evidence first
SignalAya 23 8BQwen3.5-9B
Decision fitCoding and ClassificationRAG, Agents, and Long context
Context window262K
Cheapest output-$0.15/1M tokens
Provider routes0 tracked3 tracked
Shared benchmarks1 rowsGoogle-Proof Q&A leader

Decision tradeoffs

Choose Aya 23 8B when...
  • Local decision data tags Aya 23 8B for Coding and Classification.
Choose Qwen3.5-9B when...
  • Qwen3.5-9B leads the largest shared benchmark signal on Google-Proof Q&A by 36.5 points.
  • 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.

Monthly cost at traffic

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

Aya 23 8B

Unavailable

No complete token price in local provider data

Qwen3.5-9B

$118

Cheapest tracked route: Together AI

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

Switch friction

Aya 23 8B -> Qwen3.5-9B
  • No overlapping tracked provider route is sourced for Aya 23 8B and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-9B adds Vision, Multimodal, and Function calling in local capability data.
Qwen3.5-9B -> Aya 23 8B
  • No overlapping tracked provider route is sourced for Qwen3.5-9B and Aya 23 8B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2024-02-212026-03-02
Context window262K
Parameters8B9B
Architecturedecoder onlydecoder only
LicenseUnknownApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeAya 23 8BQwen3.5-9B
Input price-$0.1/1M tokens
Output price-$0.15/1M tokens
Providers-

Capabilities

CapabilityAya 23 8BQwen3.5-9B
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo

Benchmarks

BenchmarkAya 23 8BQwen3.5-9B
Google-Proof Q&A45.281.7

Deep dive

On shared benchmark coverage, Google-Proof Q&A has Aya 23 8B at 45.2 and Qwen3.5-9B at 81.7, with Qwen3.5-9B ahead by 36.5 points. The largest visible gap is 36.5 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

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: Aya 23 8B has no token price sourced yet and Qwen3.5-9B has $0.1/1M input tokens. Provider availability is 0 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Aya 23 8B when provider fit are central to the workload. Choose Qwen3.5-9B 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.

FAQ

Is Aya 23 8B or Qwen3.5-9B open source?

Aya 23 8B is listed under Unknown. 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, Aya 23 8B 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, Aya 23 8B 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 function calling, Aya 23 8B or Qwen3.5-9B?

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.

Which is better for tool use, Aya 23 8B or Qwen3.5-9B?

Qwen3.5-9B 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.

Where can I run Aya 23 8B and Qwen3.5-9B?

Aya 23 8B is available on the tracked providers still being sourced. 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.

Continue comparing

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