Claude Sonnet 5 vs Qwen3.5 35B A3B
Head-to-head specifications
| Metric | Claude Sonnet 5 | Qwen3.5 35B A3B | Difference |
|---|---|---|---|
| Intelligence Index | 53.0 | 27.0 | +96.3% |
| Context window | 1M tokens | 512K tokens | — |
| Blended price ($/1M tokens) | $0.90 | $0.39 | +130.8% |
| Output speed (tokens/s) | 71 | 152 | -53.3% |
| Access | Proprietary API | Open weights | — |
- Claude Sonnet 5 leads overall capability (Intelligence Index 53.0 vs 27.0).
- Qwen3.5 35B A3B is the cheaper model to run at $0.39/1M blended tokens — about 2.3× cheaper.
- Claude Sonnet 5 offers the larger context window (1M tokens), useful for long documents and codebases.
Verdict: Claude Sonnet 5 or Qwen3.5 35B A3B?
Claude Sonnet 5 advantages
- General intelligence (+49%)
- Context window (+49%)
Qwen3.5 35B A3B advantages
- Affordability (+57%)
- Output speed (+53%)
Which should you choose?
- Choose the Claude Sonnet 5 if you need the strongest overall reasoning and accuracy.
- Choose the Qwen3.5 35B A3B if you want the lowest cost per token at scale.
- Choose the Claude Sonnet 5 if you work with long documents or large codebases.
Value for money
Qwen3.5 35B A3B offers more intelligence per dollar (1.2× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
Claude Sonnet 5 vs Qwen3.5 35B A3B: which should you choose?
Claude Sonnet 5 — Anthropic multimodal model with an Intelligence Index of 53, a 1M-token context window and a blended price of $0.9/1M tokens.
Qwen3.5 35B A3B — Alibaba text model with an Intelligence Index of 27, a 512K-token context window and a blended price of $0.39/1M tokens (open weights).
Claude Sonnet 5 vs Qwen3.5 35B A3B: Claude Sonnet 5 scores higher on the Intelligence Index. Claude Sonnet 5 leads overall capability (Intelligence Index 53.0 vs 27.0). Qwen3.5 35B A3B is the cheaper model to run at $0.39/1M blended tokens — about 2.3× cheaper.
Capability: intelligence, coding and agentic work
On the composite Intelligence Index the Claude Sonnet 5 scores 53.0 versus 27.0. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The Claude Sonnet 5 accepts up to 1 million tokens per request, which sets how much documentation, transcript or code it can reason over at once. In measured throughput, Qwen3.5 35B A3B generates faster (152 vs 71 tokens/s), which matters for interactive apps and high-volume pipelines.
Pricing and access
At blended per-token rates, Qwen3.5 35B A3B is the cheaper model to run ($0.39 vs $0.90 per 1M tokens). Claude Sonnet 5 is proprietary api and Qwen3.5 35B A3B is open weights. Open-weight models can be self-hosted, trading per-call cost for infrastructure you manage; for production also weigh rate limits, throughput and data-residency requirements.
The verdict
Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.
Frequently asked questions
Is the Claude Sonnet 5 better than the Qwen3.5 35B A3B?
These two are closely matched — the right pick comes down to which specific strengths you value and the price you actually pay. Claude Sonnet 5 leads overall capability (Intelligence Index 53.0 vs 27.0).
What is the main difference between the Claude Sonnet 5 and the Qwen3.5 35B A3B?
Claude Sonnet 5 leads overall capability (Intelligence Index 53.0 vs 27.0). Qwen3.5 35B A3B is the cheaper model to run at $0.39/1M blended tokens — about 2.3× cheaper.
Which is better value?
Qwen3.5 35B A3B offers more intelligence per dollar (1.2× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
Which should I choose?
Choose the Claude Sonnet 5 if you need the strongest overall reasoning and accuracy. Choose the Qwen3.5 35B A3B if you want the lowest cost per token at scale.
Methodology
Large language models are compared on independent leaderboard metrics: an Intelligence Index (a composite of reasoning and knowledge evaluations), Coding and Agentic indices where measured, community arena Elo, maximum context window, a blended API price per million tokens (weighted across cache-hit, input and output rates), and measured output speed in tokens per second. Where a model ships multiple reasoning-effort variants, we report its strongest variant. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit — and this space moves quickly, so figures reflect the leaderboard snapshot on the page date.