Qwen3.5 35B A3B Base vs Claude Sonnet 4.5
At a Glance
| Compare | Claude Sonnet 4.5Anthropic | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $3.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $15.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 200K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3.5-35B-A3B-Base | Claude Sonnet 4.5 |
|---|---|---|
| Developer | Qwen | Anthropic |
| Family | Qwen3 5 35b A3b Base | Claude 4 |
| Model | Qwen3.5-35B-A3B-Base | Claude Sonnet 4.5 |
| Version | Qwen3.5-35B-A3B-Base | Claude Sonnet 4.5 |
| Lifecycle | active | active |
| Released | Unknown | 2025-09-29 |
| Knowledge cutoff | Unknown | 2025-01-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 200K |
| Total parameters | 36B | Unknown |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Anthropic (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, structured_outputs, tools |
Qwen3.5 35B A3B Base Capabilities
Claude Sonnet 4.5 Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 35B A3B Base vs Claude Sonnet 4.5 FAQs
Is Qwen3.5 35B A3B Base or Claude Sonnet 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B Base and Claude Sonnet 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 35B A3B Base or Claude Sonnet 4.5?+
Only Claude Sonnet 4.5 has a directly sourced input price: $3.00 per million tokens. Only Claude Sonnet 4.5 has a directly sourced output price: $15.00 per million tokens.
Which has a larger context window, Qwen3.5 35B A3B Base or Claude Sonnet 4.5?+
Qwen3.5 35B A3B Base has the larger sourced context window. Qwen3.5 35B A3B Base supports 262K and Claude Sonnet 4.5 supports 200K.
Which performs better in benchmarks, Qwen3.5 35B A3B Base or Claude Sonnet 4.5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 35B A3B Base or Claude Sonnet 4.5 be self-hosted?+
Qwen3.5 35B A3B Base is the only model in this pair currently marked as self-hostable. Qwen3.5 35B A3B Base is open weight; Claude Sonnet 4.5 is not marked open weight.
Can Qwen3.5 35B A3B Base and Claude Sonnet 4.5 understand images?+
Qwen3.5 35B A3B Base is documented with image input; Claude Sonnet 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 35B A3B Base or Claude Sonnet 4.5?+
Neither has a larger sourced maximum output. Qwen3.5 35B A3B Base is — and Claude Sonnet 4.5 is 64K.
Do Qwen3.5 35B A3B Base and Claude Sonnet 4.5 support reasoning and tool use?+
Qwen3.5 35B A3B Base: tool calling and image input. Claude Sonnet 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B Base or Claude Sonnet 4.5?+
Qwen3.5 35B A3B Base has 0 sourced provider routes; Claude Sonnet 4.5 has 1, so Claude Sonnet 4.5 has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B Base or Claude Sonnet 4.5?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.