Qwen2-VL-72B-Instruct vs Qwen3.5-9B
Qwen2-VL-72B-Instruct (2025) and Qwen3.5-9B (2026) are compact production models from Alibaba. Qwen2-VL-72B-Instruct ships a 32k-token context window, while Qwen3.5-9B ships a 262k-token context window. On pricing, Qwen3.5-9B costs $0.10/1M input tokens versus $0.90/1M 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. It focuses on practical selection signals rather than broad model-family marketing.
Qwen3.5-9B is ~800% cheaper at $0.10/1M; pay for Qwen2-VL-72B-Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Qwen2-VL-72B-Instruct | Qwen3.5-9B |
|---|---|---|
| Best for | multimodal apps | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Vision | Coding, RAG, and Agents |
| Context window | 32k | 262k |
| Cheapest output | $0.90/1M tokens | $0.15/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags Qwen2-VL-72B-Instruct for Vision.
- Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
- Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-9B uniquely exposes Function calling, Tool use, and Structured outputs 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.
Qwen2-VL-72B-Instruct
$945
Cheapest tracked route/tier: Fireworks AI
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $828. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Qwen2-VL-72B-Instruct and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-9B is $0.75/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3.5-9B adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-9B and Qwen2-VL-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Qwen2-VL-72B-Instruct is $0.75/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-03-02 |
| Context window | 32k | 262k |
| Parameters | 72B | 9B |
| Architecture | Decoder Only | Decoder Only |
| License | Apache 2.0OSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2023-06 | - |
Pricing and availability
| Pricing attribute | Qwen2-VL-72B-Instruct | Qwen3.5-9B |
|---|---|---|
| Input price | $0.90/1M tokens | $0.10/1M tokens |
| Output price | $0.90/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Qwen2-VL-72B-Instruct | Qwen3.5-9B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on function calling: Qwen3.5-9B, tool use: Qwen3.5-9B, and structured outputs: Qwen3.5-9B. Both models share vision and multimodal input, 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.
For cost, Qwen2-VL-72B-Instruct lists $0.90/1M input and $0.90/1M output tokens on the cheapest tracked provider, while Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-9B lower by about $0.79 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Qwen2-VL-72B-Instruct when vision-heavy evaluation are central to the workload. Choose Qwen3.5-9B when long-context analysis, larger context windows, and lower input-token cost 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, Qwen2-VL-72B-Instruct or Qwen3.5-9B?
Qwen3.5-9B supports 262k tokens, while Qwen2-VL-72B-Instruct supports 32k 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.
Which is cheaper, Qwen2-VL-72B-Instruct or Qwen3.5-9B?
Qwen3.5-9B is cheaper on tracked token pricing. Qwen2-VL-72B-Instruct costs $0.90/1M input and $0.90/1M output tokens. Qwen3.5-9B costs $0.10/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Qwen2-VL-72B-Instruct or Qwen3.5-9B open source?
Qwen2-VL-72B-Instruct 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, Qwen2-VL-72B-Instruct or Qwen3.5-9B?
Both Qwen2-VL-72B-Instruct 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, Qwen2-VL-72B-Instruct or Qwen3.5-9B?
Both Qwen2-VL-72B-Instruct 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.
Where can I run Qwen2-VL-72B-Instruct and Qwen3.5-9B?
Qwen2-VL-72B-Instruct is available on Fireworks AI. 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: 2026-06-15. Data sourced from public model cards and provider documentation.