Claude Sonnet 4.5 vs Qwen3.6-27B
Claude Sonnet 4.5 (2025) and Qwen3.6-27B (2026) compare a standalone API model against a coding-specialized model. Claude Sonnet 4.5 ships a 200k-token context window, while Qwen3.6-27B ships a 262k-token context window. On MMLU PRO, Qwen3.6-27B leads by 0.2 pts. On pricing, Claude Sonnet 4.5 ranges from $3 to $6/1M input tokens by tier; Qwen3.6-27B costs $0.32/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Claude Sonnet 4.5 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 | Claude Sonnet 4.5 | Qwen3.6-27B |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 262k |
| Cheapest output | $15/1M tokens | $3.20/1M tokens |
| Provider routes | 8 tracked | 4 tracked |
| Shared benchmarks | 4 shared | MMLU PRO leader |
Decision tradeoffs
- Claude Sonnet 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Sonnet 4.5 uniquely exposes Structured outputs in local model data.
- Local decision data tags Claude Sonnet 4.5 for Coding, RAG, and Agents.
- Qwen3.6-27B holds a shared-benchmark lead on MMLU PRO, ahead by 0.2 points.
- Qwen3.6-27B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.6-27B has the lower cheapest tracked output price at $3.20/1M tokens.
- 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.
Claude Sonnet 4.5
$6,150
Cheapest tracked route/tier: Microsoft Foundry
Qwen3.6-27B
$1,056
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $5,094. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Qwen3.6-27B is $11.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Claude Sonnet 4.5 is $11.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude Sonnet 4.5 adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-29 | 2026-04-27 |
| Context window | 200k | 262k |
| Parameters | — | 27B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | Claude Sonnet 4.5 | Qwen3.6-27B |
|---|---|---|
| Input price |
| $0.32/1M tokens |
| Output price |
| $3.20/1M tokens |
| Providers |
Capabilities
| Capability | Claude Sonnet 4.5 | Qwen3.6-27B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude Sonnet 4.5 | Qwen3.6-27B |
|---|---|---|
| MMLU PRO | 86.0 | 86.2 |
| SWE-bench Verified | 77.2 | 77.2 |
| Google-Proof Q&A | 83.4 | 87.8 |
| MMMU Pro | 68.9 | 75.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude Sonnet 4.5 at 86 and Qwen3.6-27B at 86.2, with Qwen3.6-27B ahead by 0.2 points; SWE-bench Verified has Claude Sonnet 4.5 and Qwen3.6-27B tied at 77.2; Google-Proof Q&A has Claude Sonnet 4.5 at 83.4 and Qwen3.6-27B at 87.8, with Qwen3.6-27B ahead by 4.4 points. The largest visible gap is 4.4 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 structured outputs: Claude Sonnet 4.5. Both models share vision, multimodal input, reasoning mode, and function calling, 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, Claude Sonnet 4.5 lists tiered pricing: 0-200,001t is $3/1M input and $15/1M output; 200,001t+ is $6/1M input and $22.50/1M output, while Qwen3.6-27B lists $0.32/1M input and $3.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.6-27B lower by about $5.42 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 8 providers versus 4, so concentration risk also matters.
Choose Claude Sonnet 4.5 when vision-heavy evaluation and broader provider choice are central to the workload. Choose Qwen3.6-27B when coding workflow support, 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, Claude Sonnet 4.5 or Qwen3.6-27B?
Qwen3.6-27B supports 262k tokens, while Claude Sonnet 4.5 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude Sonnet 4.5 or Qwen3.6-27B?
Claude Sonnet 4.5 lists tiered pricing: 0-200,001t is $3/1M input and $15/1M output; 200,001t+ is $6/1M input and $22.50/1M output. Qwen3.6-27B lists $0.32/1M input and $3.20/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Claude Sonnet 4.5 or Qwen3.6-27B open source?
Claude Sonnet 4.5 is listed under Proprietary. 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, Claude Sonnet 4.5 or Qwen3.6-27B?
Both Claude Sonnet 4.5 and Qwen3.6-27B 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, Claude Sonnet 4.5 or Qwen3.6-27B?
Both Claude Sonnet 4.5 and Qwen3.6-27B 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 Claude Sonnet 4.5 and Qwen3.6-27B?
Claude Sonnet 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, GCP Vertex AI, and AWS Bedrock. 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.