Claude 3.7 Sonnet vs Qwen3-235B-A22B
Claude 3.7 Sonnet (2024) and Qwen3-235B-A22B (2025) are frontier reasoning models from Anthropic and Alibaba. Claude 3.7 Sonnet ships a 200K-token context window, while Qwen3-235B-A22B ships a 128K-token context window. On MMLU PRO, Qwen3-235B-A22B leads by 2.5 pts. On pricing, Qwen3-235B-A22B costs $0.4/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Qwen3-235B-A22B is ~650% cheaper at $0.4/1M; pay for Claude 3.7 Sonnet only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude 3.7 Sonnet | Qwen3-235B-A22B |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 200K | 128K |
| Cheapest output | $15/1M tokens | $1.2/1M tokens |
| Provider routes | 6 tracked | 4 tracked |
| Shared benchmarks | 4 rows | MMLU PRO leader |
Decision tradeoffs
- Claude 3.7 Sonnet leads the largest shared benchmark signal on HumanEval by 0.3 points.
- Claude 3.7 Sonnet has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude 3.7 Sonnet has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.7 Sonnet uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
- Qwen3-235B-A22B leads the largest shared benchmark signal on MMLU PRO by 2.5 points.
- Qwen3-235B-A22B has the lower cheapest tracked output price at $1.2/1M 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 prices on this page.
Claude 3.7 Sonnet
$6,150
Cheapest tracked route: GCP Vertex AI
Qwen3-235B-A22B
$620
Cheapest tracked route: AWS Bedrock
Estimated monthly gap: $5,530. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock and OpenRouter; start route-level A/B tests there.
- Qwen3-235B-A22B is $13.80/1M 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.
- Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
- Claude 3.7 Sonnet is $13.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude 3.7 Sonnet adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-03-04 | 2025-04-29 |
| Context window | 200K | 128K |
| Parameters | — | 235B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2024-11 | - |
Pricing and availability
| Pricing attribute | Claude 3.7 Sonnet | Qwen3-235B-A22B |
|---|---|---|
| Input price | $3/1M tokens | $0.4/1M tokens |
| Output price | $15/1M tokens | $1.2/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.7 Sonnet | Qwen3-235B-A22B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Qwen3-235B-A22B |
|---|---|---|
| MMLU PRO | 80.3 | 82.8 |
| HumanEval | 93.0 | 92.7 |
| LiveCodeBench | 68.9 | 80.4 |
| Aider Polyglot | 64.9 | 59.6 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude 3.7 Sonnet at 80.3 and Qwen3-235B-A22B at 82.8, with Qwen3-235B-A22B ahead by 2.5 points; HumanEval has Claude 3.7 Sonnet at 93 and Qwen3-235B-A22B at 92.7, with Claude 3.7 Sonnet ahead by 0.3 points; LiveCodeBench has Claude 3.7 Sonnet at 68.9 and Qwen3-235B-A22B at 80.4, with Qwen3-235B-A22B ahead by 11.5 points. The largest visible gap is 11.5 points on LiveCodeBench, 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 3.7 Sonnet, multimodal input: Claude 3.7 Sonnet, reasoning mode: Claude 3.7 Sonnet, function calling: Claude 3.7 Sonnet, tool use: Claude 3.7 Sonnet, and code execution: Claude 3.7 Sonnet. 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 3.7 Sonnet lists $3/1M input and $15/1M output tokens, while Qwen3-235B-A22B lists $0.4/1M input and $1.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-235B-A22B lower by about $5.96 per million blended tokens. Availability is 6 providers versus 4, so concentration risk also matters.
Choose Claude 3.7 Sonnet 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 3.7 Sonnet or Qwen3-235B-A22B?
Claude 3.7 Sonnet supports 200K 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 3.7 Sonnet or Qwen3-235B-A22B?
Qwen3-235B-A22B is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Qwen3-235B-A22B costs $0.4/1M input and $1.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or Qwen3-235B-A22B open source?
Claude 3.7 Sonnet 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 3.7 Sonnet or Qwen3-235B-A22B?
Claude 3.7 Sonnet 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 3.7 Sonnet or Qwen3-235B-A22B?
Claude 3.7 Sonnet 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 3.7 Sonnet and Qwen3-235B-A22B?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Qwen3-235B-A22B is available on Fireworks AI, AWS Bedrock, OpenRouter, and Venice AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-20. Data sourced from public model cards and provider documentation.