LLM Reference

Claude Opus 4.7 vs Qwen3-235B-A22B

Claude Opus 4.7 (2026) and Qwen3-235B-A22B (2025) are frontier reasoning models from Anthropic and Alibaba. Claude Opus 4.7 ships a 1m-token context window, while Qwen3-235B-A22B ships a 128k-token context window. On Google-Proof Q&A, Claude Opus 4.7 leads by 8.1 pts. On pricing, Qwen3-235B-A22B costs $0.09/1M input tokens versus $5/1M 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.

Qwen3-235B-A22B is ~5456% cheaper at $0.09/1M; pay for Claude Opus 4.7 only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude Opus 4.7Qwen3-235B-A22B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsprovider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Long context
Context window1m128k
Cheapest output$25/1M tokens$0.58/1M tokens
Provider routes6 tracked5 tracked
Shared benchmarksGoogle-Proof Q&A leader1 rows

Decision tradeoffs

Choose Claude Opus 4.7 when...
  • Claude Opus 4.7 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 8.1 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 Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Claude Opus 4.7 for Coding, RAG, and Agents.
Choose Qwen3-235B-A22B when...
  • Qwen3-235B-A22B has the lower cheapest tracked output price at $0.58/1M tokens.
  • Local decision data tags Qwen3-235B-A22B for Coding, RAG, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Qwen3-235B-A22B

Claude Opus 4.7

$10,250

Cheapest tracked route/tier: Anthropic

Qwen3-235B-A22B

$217

Cheapest tracked route/tier: Novita AI

Estimated monthly gap: $10,033. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Opus 4.7 -> Qwen3-235B-A22B
  • Provider overlap exists on AWS Bedrock and OpenRouter; start route-level A/B tests there.
  • Qwen3-235B-A22B is $24.42/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Qwen3-235B-A22B -> Claude Opus 4.7
  • Provider overlap exists on AWS Bedrock and OpenRouter; start route-level A/B tests there.
  • Claude Opus 4.7 is $24.42/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Opus 4.7 adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-04-162025-04-29
Context window1m128k
Parameters235B
Architecturedecoder onlydecoder only
LicenseProprietaryApache 2.0(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2026-01-

Pricing and availability

Pricing attributeClaude Opus 4.7Qwen3-235B-A22B
Input price$5/1M tokens$0.09/1M tokens
Output price$25/1M tokens$0.58/1M tokens
Providers

Capabilities

CapabilityClaude Opus 4.7Qwen3-235B-A22B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkClaude Opus 4.7Qwen3-235B-A22B
Google-Proof Q&A94.286.1

Deep dive

On shared benchmark coverage, Google-Proof Q&A has Claude Opus 4.7 at 94.2 and Qwen3-235B-A22B at 86.1, with Claude Opus 4.7 ahead by 8.1 points. The largest visible gap is 8.1 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 vision: Claude Opus 4.7, multimodal input: Claude Opus 4.7, reasoning mode: Claude Opus 4.7, function calling: Claude Opus 4.7, tool use: Claude Opus 4.7, and code execution: Claude Opus 4.7. Both models share structured outputs, 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 Qwen3-235B-A22B lists $0.09/1M input and $0.58/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-235B-A22B lower by about $10.76 per million blended tokens. Availability is 6 providers versus 5, 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 Qwen3-235B-A22B when provider fit 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 Qwen3-235B-A22B?

Claude Opus 4.7 supports 1m tokens, while Qwen3-235B-A22B supports 128k 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 Qwen3-235B-A22B?

Qwen3-235B-A22B is cheaper on tracked token pricing. Claude Opus 4.7 costs $5/1M input and $25/1M output tokens. Qwen3-235B-A22B costs $0.09/1M input and $0.58/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Opus 4.7 or Qwen3-235B-A22B open source?

Claude Opus 4.7 is listed under Proprietary. Qwen3-235B-A22B 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 Qwen3-235B-A22B?

Claude Opus 4.7 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.

Which is better for multimodal input, Claude Opus 4.7 or Qwen3-235B-A22B?

Claude Opus 4.7 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.

Where can I run Claude Opus 4.7 and Qwen3-235B-A22B?

Claude Opus 4.7 is available on Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter. Qwen3-235B-A22B is available on Fireworks AI, AWS Bedrock, OpenRouter, Venice AI, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.