LLM Reference

Claude Opus 4.7 vs Qwen3.6-27B

Claude Opus 4.7 (2026) and Qwen3.6-27B (2026) compare a standalone API model against a coding-specialized model. Claude Opus 4.7 ships a 1m-token context window, while Qwen3.6-27B ships a 262k-token context window. On SWE-bench Verified, Claude Opus 4.7 leads by 10.4 pts. On pricing, Qwen3.6-27B costs $0.32/1M input tokens versus $5/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Claude Opus 4.7 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
SignalClaude Opus 4.7Qwen3.6-27B
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m262k
Cheapest output$25/1M tokens$3.20/1M tokens
Provider routes6 tracked4 tracked
Shared benchmarksSWE-bench Verified leader4 shared

Decision tradeoffs

Choose Claude Opus 4.7 when...
  • Claude Opus 4.7 holds a shared-benchmark lead on SWE-bench Verified, ahead by 10.4 points.
  • Claude Opus 4.7 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude Opus 4.7 has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude Opus 4.7 uniquely exposes Structured outputs and Code execution in local model data.
  • Local decision data tags Claude Opus 4.7 for Coding, RAG, and Agents.
Choose Qwen3.6-27B when...
  • 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.

Lower estimate Qwen3.6-27B

Claude Opus 4.7

$10,250

Cheapest tracked route/tier: Anthropic

Qwen3.6-27B

$1,056

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $9,194. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Opus 4.7 -> Qwen3.6-27B
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Qwen3.6-27B is $21.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Structured outputs and Code execution before moving production traffic.
Qwen3.6-27B -> Claude Opus 4.7
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Claude Opus 4.7 is $21.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Opus 4.7 adds Structured outputs and Code execution in local capability data.

Specs

Specification
Released2026-04-162026-04-27
Context window1m262k
Parameters—27B
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2026-01-

Pricing and availability

Pricing attributeClaude Opus 4.7Qwen3.6-27B
Input price$5/1M tokens$0.32/1M tokens
Output price$25/1M tokens$3.20/1M tokens
Providers
AnthropicAWS BedrockGCP Vertex AIMicrosoft FoundryOpenRouterVercel AI Gateway
OpenRouterAlibaba Cloud PAI-EASVercel AI GatewayNovita AI

Capabilities

CapabilityClaude Opus 4.7Qwen3.6-27B
VisionYesYes
MultimodalYesYes
ReasoningYesYes
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkClaude Opus 4.7Qwen3.6-27B
SWE-bench Verified87.677.2
SWE-bench Pro64.353.5
Google-Proof Q&A94.287.8
Humanity's Last Exam54.724.0

Deep dive

On shared benchmark coverage, SWE-bench Verified has Claude Opus 4.7 at 87.6 and Qwen3.6-27B at 77.2, with Claude Opus 4.7 ahead by 10.4 points; SWE-bench Pro has Claude Opus 4.7 at 64.3 and Qwen3.6-27B at 53.5, with Claude Opus 4.7 ahead by 10.8 points; Google-Proof Q&A has Claude Opus 4.7 at 94.2 and Qwen3.6-27B at 87.8, with Claude Opus 4.7 ahead by 6.4 points. The largest visible gap is 10.8 points on SWE-bench 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 structured outputs: Claude Opus 4.7 and code execution: Claude Opus 4.7. 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 Opus 4.7 lists $5/1M input and $25/1M output tokens on the cheapest tracked provider, 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 $9.82 per million blended tokens. Availability is 6 providers versus 4, so concentration risk also matters.

Choose Claude Opus 4.7 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.6-27B when coding workflow support 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 Opus 4.7 or Qwen3.6-27B?

Claude Opus 4.7 supports 1m tokens, while Qwen3.6-27B supports 262k 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 Opus 4.7 or Qwen3.6-27B?

Qwen3.6-27B is cheaper on tracked token pricing. Claude Opus 4.7 costs $5/1M input and $25/1M output tokens. Qwen3.6-27B costs $0.32/1M input and $3.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Opus 4.7 or Qwen3.6-27B open source?

Claude Opus 4.7 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 Opus 4.7 or Qwen3.6-27B?

Both Claude Opus 4.7 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 Opus 4.7 or Qwen3.6-27B?

Both Claude Opus 4.7 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 Opus 4.7 and Qwen3.6-27B?

Claude Opus 4.7 is available on Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter. 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.