Claude 3.7 Sonnet vs Qwen3-Max
Claude 3.7 Sonnet (2024) and Qwen3-Max (2026) are frontier reasoning models from Anthropic and Alibaba. Claude 3.7 Sonnet ships a 200K-token context window, while Qwen3-Max ships a 128K-token context window. On SWE-bench Verified, Qwen3-Max leads by 8.5 pts. On pricing, Qwen3-Max costs $0.78/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Qwen3-Max is ~285% cheaper at $0.78/1M; pay for Claude 3.7 Sonnet only for coding workflow support.
Specs
| Released | 2024-03-04 | 2026-01-15 |
| Context window | 200K | 128K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2024-11 | 2025-12 |
Pricing and availability
| Claude 3.7 Sonnet | Qwen3-Max | |
|---|---|---|
| Input price | $3/1M tokens | $0.78/1M tokens |
| Output price | $15/1M tokens | $3.9/1M tokens |
| Providers |
Capabilities
| Claude 3.7 Sonnet | Qwen3-Max | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Qwen3-Max |
|---|---|---|
| SWE-bench Verified | 70.3 | 78.8 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Claude 3.7 Sonnet at 70.3 and Qwen3-Max at 78.8, with Qwen3-Max ahead by 8.5 points. The largest visible gap is 8.5 points on SWE-bench Verified, 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 reasoning mode: Claude 3.7 Sonnet and code execution: Claude 3.7 Sonnet. Both models share vision, multimodal input, 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.
For cost, Claude 3.7 Sonnet lists $3/1M input and $15/1M output tokens, while Qwen3-Max lists $0.78/1M input and $3.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-Max lower by about $4.88 per million blended tokens. Availability is 6 providers versus 1, 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-Max when vision-heavy evaluation 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-Max?
Claude 3.7 Sonnet supports 200K tokens, while Qwen3-Max 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-Max?
Qwen3-Max is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Qwen3-Max costs $0.78/1M input and $3.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or Qwen3-Max open source?
Claude 3.7 Sonnet is listed under Proprietary. Qwen3-Max is listed under Proprietary. 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-Max?
Both Claude 3.7 Sonnet and Qwen3-Max 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 3.7 Sonnet or Qwen3-Max?
Both Claude 3.7 Sonnet and Qwen3-Max 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 3.7 Sonnet and Qwen3-Max?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Qwen3-Max is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.