Claude Sonnet 4.5 vs Qwen3 VL Plus
At a Glance
| Compare | Claude Sonnet 4.5Anthropic |  Qwen3 VL PlusQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8 | UnrankedNot in the 46-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $3.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $15.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 200K | 262K |
| Model facts checked | Sep 3, 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 | Claude Sonnet 4.5 | Qwen3 VL Plus |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 | Qwen3 VL |
| Model | Claude Sonnet 4.5 | Qwen3 VL Plus |
| Version | Claude Sonnet 4.5 | Qwen3 VL Plus |
| Lifecycle | active | active |
| Released | 2025-09-29 | 2025-12-19 |
| Knowledge cutoff | 2025-01-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 200K | 262K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard) | Alibaba Cloud Model Studio (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools, vision |
Claude Sonnet 4.5 Capabilities
Qwen3 VL Plus Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.5 vs Qwen3 VL Plus FAQs
Is Claude Sonnet 4.5 or Qwen3 VL Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.5 and Qwen3 VL Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 4.5 or Qwen3 VL Plus?+
Claude Sonnet 4.5 is $3.00 and Qwen3 VL Plus is $1.00 per million tokens, so Qwen3 VL Plus is cheaper on this metric. Claude Sonnet 4.5 is $15.00 and Qwen3 VL Plus is $10.00 per million tokens, so Qwen3 VL Plus is cheaper on this metric.
Which has a larger context window, Claude Sonnet 4.5 or Qwen3 VL Plus?+
Qwen3 VL Plus has the larger sourced context window. Claude Sonnet 4.5 supports 200K and Qwen3 VL Plus supports 262K.
Which performs better in benchmarks, Claude Sonnet 4.5 or Qwen3 VL Plus?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Sonnet 4.5 or Qwen3 VL Plus be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Sonnet 4.5 is not marked open weight; Qwen3 VL Plus is not marked open weight.
Can Claude Sonnet 4.5 and Qwen3 VL Plus understand images?+
Claude Sonnet 4.5 is documented with image input; Qwen3 VL Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Sonnet 4.5 or Qwen3 VL Plus?+
Neither has a larger sourced maximum output. Claude Sonnet 4.5 is 64K and Qwen3 VL Plus is —.
Do Claude Sonnet 4.5 and Qwen3 VL Plus support reasoning and tool use?+
Claude Sonnet 4.5: reasoning, tool calling, and image input. Qwen3 VL Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Sonnet 4.5 or Qwen3 VL Plus?+
Claude Sonnet 4.5 has 1 sourced provider route; Qwen3 VL Plus has 1, a tie.
Which offers better value, Claude Sonnet 4.5 or Qwen3 VL Plus?+
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.