Clef-flash vs Qwen3.5-9B

Clef-flash (2026) and Qwen3.5-9B (2026) are general-purpose language models from Cloudflare and Alibaba. Both ship a 256K-token context window. On MMLU PRO, Qwen3.5-9B leads by 17.2 pts. On pricing, Clef-flash costs $0.04/1M input tokens versus $0.10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Clef-flash is ~163% cheaper at $0.04/1M; pay for Qwen3.5-9B only for long-context analysis.

Decision scorecard

Local evidence first
SignalClef-flashQwen3.5-9B
Best formultimodal appsmultimodal apps, tool-calling agents, and provider-routed production
Decision fitRAG, Agents, and Long contextCoding, RAG, and Agents
Context window256K256K
Cheapest output-$0.15/1M tokens
Provider routes1 tracked5 tracked
Shared benchmarks2 sharedMMLU PRO leader

Decision tradeoffs

Choose Clef-flash when...
  • Local decision data tags Clef-flash for RAG, Agents, and Long context.
Choose Qwen3.5-9B when...
  • Qwen3.5-9B holds a shared-benchmark lead on MMLU PRO, ahead by 17.2 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 route flexibility.
  • Qwen3.5-9B uniquely exposes JSON / Tool use in local model data.
  • Local decision data tags Qwen3.5-9B for Coding, RAG, and Agents.

Monthly cost at traffic

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

Clef-flash

Unavailable

Cheapest tracked route/tier: Cloudflare Workers AI

Qwen3.5-9B

$118

Cheapest tracked route/tier: Alibaba Cloud PAI-EAS

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

Switch friction

Clef-flash -> Qwen3.5-9B
  • No overlapping tracked provider route is sourced for Clef-flash and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-9B adds JSON / Tool use in local capability data.
Qwen3.5-9B -> Clef-flash
  • No overlapping tracked provider route is sourced for Qwen3.5-9B and Clef-flash; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for JSON / Tool use before moving production traffic.

Specs

Specification
Released2026-10-012026-03-02
Context window256K256K
Parameters9B9B
Architecture-Decoder Only
LicenseApache 2.0OSI-approvedApache 2.0OSI-approved
OpennessOpen sourceOpen source
WeightsAvailableAvailable
CodeUnknownUnknown
Commercial usePermittedPermitted
Knowledge cutoff--

Pricing and availability

Pricing attributeClef-flashQwen3.5-9B
Input price$0.04/1M tokens$0.10/1M tokens
Output price-$0.15/1M tokens
Providers

Capabilities

CapabilityClef-flashQwen3.5-9B
VisionYesYes
MultimodalYesYes
ReasoningNoNo
JSON / Tool useNoYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkClef-flashQwen3.5-9B
MMLU PRO65.382.5
Google-Proof Q&A51.081.7

Deep dive

On shared benchmark coverage, MMLU PRO has Clef-flash at 65.3 and Qwen3.5-9B at 82.5, with Qwen3.5-9B ahead by 17.2 points; Google-Proof Q&A has Clef-flash at 51 and Qwen3.5-9B at 81.7, with Qwen3.5-9B ahead by 30.7 points. The largest visible gap is 30.7 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 JSON / Tool use: Qwen3.5-9B and JSON / Tool use: Qwen3.5-9B. Both models share vision, multimodal input, and structured outputs, 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: Clef-flash has $0.04/1M input tokens and Qwen3.5-9B has $0.10/1M input tokens. Provider availability is 1 listed routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Clef-flash when vision-heavy evaluation and lower input-token cost 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.

FAQ

Which has a larger context window, Clef-flash or Qwen3.5-9B?

Qwen3.5-9B supports 256K tokens, while Clef-flash supports 256K 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 Clef-flash or Qwen3.5-9B open source?

Clef-flash is listed under Apache 2.0. 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, Clef-flash or Qwen3.5-9B?

Both Clef-flash and Qwen3.5-9B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Clef-flash or Qwen3.5-9B?

Both Clef-flash and Qwen3.5-9B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for JSON / Tool use, Clef-flash or Qwen3.5-9B?

Qwen3.5-9B has the clearer documented JSON / Tool use signal in this comparison. If JSON / 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 Clef-flash and Qwen3.5-9B?

Clef-flash is available on Cloudflare Workers AI. Qwen3.5-9B is available on Together AI, OpenRouter, Alibaba Cloud PAI-EAS, Featherless, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-10-26. Data sourced from public model cards and provider documentation.