Qwen2.5-72B vs Qwen3.6-27B
Qwen2.5-72B (2025) and Qwen3.6-27B (2026) compare a standalone API model against a coding-specialized model. Qwen2.5-72B ships a 128k-token context window, while Qwen3.6-27B ships a 262k-token context window. On MMLU PRO, Qwen3.6-27B leads by 14.2 pts. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Qwen2.5-72B is standalone API model, while Qwen3.6-27B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Qwen2.5-72B | Qwen3.6-27B |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | tool-calling agents | custom coding agents, code generation, and tool loops |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 128k | 262k |
| Cheapest output | - | $3.20/1M tokens |
| Provider routes | 0 tracked | 4 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Local decision data tags Qwen2.5-72B for RAG, Agents, and Long context.
- Qwen3.6-27B holds a shared-benchmark lead on MMLU PRO, ahead by 14.2 points.
- Qwen3.6-27B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.6-27B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.6-27B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Qwen3.6-27B 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.
Qwen2.5-72B
Unavailable
No complete token price in local provider data
Qwen3.6-27B
$1,056
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Qwen2.5-72B and Qwen3.6-27B; plan for SDK, billing, or endpoint changes.
- Qwen3.6-27B adds Vision, Multimodal, and Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.6-27B and Qwen2.5-72B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-10 | 2026-04-27 |
| Context window | 128k | 262k |
| Parameters | 72B | 27B |
| Architecture | - | Decoder Only |
| License | Apache 2.0OSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2024-09 | - |
Pricing and availability
| Pricing attribute | Qwen2.5-72B | Qwen3.6-27B |
|---|---|---|
| Input price | - | $0.32/1M tokens |
| Output price | - | $3.20/1M tokens |
| Providers | - |
Capabilities
| Capability | Qwen2.5-72B | Qwen3.6-27B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Qwen2.5-72B | Qwen3.6-27B |
|---|---|---|
| MMLU PRO | 72.0 | 86.2 |
Deep dive
On shared benchmark coverage, MMLU PRO has Qwen2.5-72B at 72 and Qwen3.6-27B at 86.2, with Qwen3.6-27B ahead by 14.2 points. The largest visible gap is 14.2 points on MMLU PRO, 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: Qwen3.6-27B, multimodal input: Qwen3.6-27B, and reasoning mode: Qwen3.6-27B. 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: Qwen2.5-72B has no token price sourced yet and Qwen3.6-27B has $0.32/1M input tokens. Provider availability is 0 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Qwen2.5-72B when provider fit are central to the workload. Choose Qwen3.6-27B when coding workflow support, 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, Qwen2.5-72B or Qwen3.6-27B?
Qwen3.6-27B supports 262k tokens, while Qwen2.5-72B supports 128k 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 Qwen2.5-72B or Qwen3.6-27B open source?
Qwen2.5-72B is listed under Apache 2.0. Qwen3.6-27B 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, Qwen2.5-72B or Qwen3.6-27B?
Qwen3.6-27B 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, Qwen2.5-72B or Qwen3.6-27B?
Qwen3.6-27B 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, Qwen2.5-72B or Qwen3.6-27B?
Qwen3.6-27B 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 Qwen2.5-72B and Qwen3.6-27B?
Qwen2.5-72B is available on the tracked providers still being sourced. Qwen3.6-27B is available on OpenRouter, Alibaba Cloud PAI-EAS, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.