Claude 3.7 Sonnet vs Qwen3.5-35B-A3B
Claude 3.7 Sonnet (2024) and Qwen3.5-35B-A3B (2026) are frontier-tier reasoning models from Anthropic and Alibaba. Claude 3.7 Sonnet ships a 200k-token context window, while Qwen3.5-35B-A3B ships a 262k-token context window. On MMLU PRO, Qwen3.5-35B-A3B leads by 5 pts. On pricing, Qwen3.5-35B-A3B costs $0.14/1M input tokens versus $3/1M 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.
Qwen3.5-35B-A3B is ~2058% cheaper at $0.14/1M; pay for Claude 3.7 Sonnet only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude 3.7 Sonnet | Qwen3.5-35B-A3B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 262k |
| Cheapest output | $15/1M tokens | $1/1M tokens |
| Provider routes | 6 tracked | 2 tracked |
| Shared benchmarks | 3 rows | MMLU PRO leader |
Decision tradeoffs
- Claude 3.7 Sonnet holds a shared-benchmark lead on SWE-bench Verified, ahead by 1.1 points.
- Claude 3.7 Sonnet has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.7 Sonnet uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
- Qwen3.5-35B-A3B holds a shared-benchmark lead on MMLU PRO, ahead by 5 points.
- Qwen3.5-35B-A3B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-35B-A3B has the lower cheapest tracked output price at $1/1M tokens.
- Local decision data tags Qwen3.5-35B-A3B 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 3.7 Sonnet
$6,150
Cheapest tracked route/tier: GCP Vertex AI
Qwen3.5-35B-A3B
$361
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $5,789. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.5-35B-A3B is $14/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Claude 3.7 Sonnet is $14/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude 3.7 Sonnet adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-03-04 | 2026-02-24 |
| Context window | 200k | 262k |
| Parameters | — | 35B |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2024-11 | - |
Pricing and availability
| Pricing attribute | Claude 3.7 Sonnet | Qwen3.5-35B-A3B |
|---|---|---|
| Input price | $3/1M tokens | $0.14/1M tokens |
| Output price | $15/1M tokens | $1/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.7 Sonnet | Qwen3.5-35B-A3B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Qwen3.5-35B-A3B |
|---|---|---|
| MMLU PRO | 80.3 | 85.3 |
| SWE-bench Verified | 70.3 | 69.2 |
| LiveCodeBench | 68.9 | 74.6 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude 3.7 Sonnet at 80.3 and Qwen3.5-35B-A3B at 85.3, with Qwen3.5-35B-A3B ahead by 5 points; SWE-bench Verified has Claude 3.7 Sonnet at 70.3 and Qwen3.5-35B-A3B at 69.2, with Claude 3.7 Sonnet ahead by 1.1 points; LiveCodeBench has Claude 3.7 Sonnet at 68.9 and Qwen3.5-35B-A3B at 74.6, with Qwen3.5-35B-A3B ahead by 5.7 points. The largest visible gap is 5.7 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, and code execution: Claude 3.7 Sonnet. Both models share reasoning mode, function calling, tool use, and 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 on the cheapest tracked provider, while Qwen3.5-35B-A3B lists $0.14/1M input and $1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-35B-A3B lower by about $6.20 per million blended tokens. Availability is 6 providers versus 2, so concentration risk also matters.
Choose Claude 3.7 Sonnet when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.5-35B-A3B when long-context analysis, 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 3.7 Sonnet or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B supports 262k tokens, while Claude 3.7 Sonnet 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 3.7 Sonnet or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Qwen3.5-35B-A3B costs $0.14/1M input and $1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or Qwen3.5-35B-A3B open source?
Claude 3.7 Sonnet is listed under Proprietary. Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B?
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 Qwen3.5-35B-A3B?
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 Qwen3.5-35B-A3B?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Qwen3.5-35B-A3B is available on OpenRouter and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.