Qwen2-VL-72B-Instruct vs Qwen3.5-397B-A17B
Qwen2-VL-72B-Instruct (2025) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from Alibaba. Qwen2-VL-72B-Instruct ships a 32k-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On Massive Multi-discipline Multimodal Understanding, Qwen3.5-397B-A17B leads by 20.5 pts. On pricing, Qwen3.5-397B-A17B costs $0.39/1M 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.
Qwen3.5-397B-A17B is ~131% cheaper at $0.39/1M; pay for Qwen2-VL-72B-Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Qwen2-VL-72B-Instruct | Qwen3.5-397B-A17B |
|---|---|---|
| Best for | multimodal apps | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Vision | Coding, RAG, and Agents |
| Context window | 32k | 262k |
| Cheapest output | $0.90/1M tokens | $2.34/1M tokens |
| Provider routes | 1 tracked | 4 tracked |
| Shared benchmarks | 1 shared | Massive Multi-discipline Multimodal Understanding leader |
Decision tradeoffs
- Qwen2-VL-72B-Instruct has the lower cheapest tracked output price at $0.90/1M tokens.
- Local decision data tags Qwen2-VL-72B-Instruct for Vision.
- Qwen3.5-397B-A17B holds a shared-benchmark lead on Massive Multi-discipline Multimodal Understanding, ahead by 20.5 points.
- Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-397B-A17B uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Qwen3.5-397B-A17B 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
Qwen3.5-397B-A17B
$897
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $48.00. 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 Qwen3.5-397B-A17B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-397B-A17B is $1.44/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.5-397B-A17B adds Reasoning, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-397B-A17B and Qwen2-VL-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Qwen2-VL-72B-Instruct is $1.44/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-02-16 |
| Context window | 32k | 262k |
| Parameters | 72B | 397B |
| Architecture | Decoder Only | Mixture of Experts |
| 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 | Qwen3.5-397B-A17B |
|---|---|---|
| Input price | $0.90/1M tokens | $0.39/1M tokens |
| Output price | $0.90/1M tokens | $2.34/1M tokens |
| Providers |
Capabilities
| Capability | Qwen2-VL-72B-Instruct | Qwen3.5-397B-A17B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| 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
| Benchmark | Qwen2-VL-72B-Instruct | Qwen3.5-397B-A17B |
|---|---|---|
| Massive Multi-discipline Multimodal Understanding | 64.5 | 85.0 |
Deep dive
On shared benchmark coverage, Massive Multi-discipline Multimodal Understanding has Qwen2-VL-72B-Instruct at 64.5 and Qwen3.5-397B-A17B at 85, with Qwen3.5-397B-A17B ahead by 20.5 points. The largest visible gap is 20.5 points on Massive Multi-discipline Multimodal Understanding, 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 reasoning mode: Qwen3.5-397B-A17B, function calling: Qwen3.5-397B-A17B, tool use: Qwen3.5-397B-A17B, and structured outputs: Qwen3.5-397B-A17B. 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 Qwen3.5-397B-A17B lists $0.39/1M input and $2.34/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen2-VL-72B-Instruct lower by about $0.07 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Qwen2-VL-72B-Instruct when vision-heavy evaluation are central to the workload. Choose Qwen3.5-397B-A17B when reasoning depth, 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.
FAQ
Which has a larger context window, Qwen2-VL-72B-Instruct or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B?
Qwen2-VL-72B-Instruct is cheaper on tracked token pricing. Qwen2-VL-72B-Instruct costs $0.90/1M input and $0.90/1M output tokens. Qwen3.5-397B-A17B costs $0.39/1M input and $2.34/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Qwen2-VL-72B-Instruct or Qwen3.5-397B-A17B open source?
Qwen2-VL-72B-Instruct is listed under Apache 2.0. Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B?
Both Qwen2-VL-72B-Instruct and Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B?
Both Qwen2-VL-72B-Instruct and Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B?
Qwen2-VL-72B-Instruct is available on Fireworks AI. Qwen3.5-397B-A17B is available on OpenRouter, Together AI, Alibaba Cloud PAI-EAS, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.