Claude Sonnet 4.5 vs Qwen3 VL Flash
At a Glance
| Compare | Claude Sonnet 4.5Anthropic |  Qwen3 VL FlashQwen |
|---|---|---|
| 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 Flash |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 | Qwen3 VL |
| Model | Claude Sonnet 4.5 | Qwen3 VL Flash |
| Version | Claude Sonnet 4.5 | Qwen3 VL Flash |
| Lifecycle | active | active |
| Released | 2025-09-29 | 2026-01-22 |
| 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 Flash Capabilities
Related Comparisons
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Claude Sonnet 4.5Anthropic | vs |  GPT-5 NanoOpenAI | cross-developer peersimage, text |
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Claude Sonnet 4.5Anthropic | vs | o3-proOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.5 vs Qwen3 VL Flash FAQs
Is Claude Sonnet 4.5 or Qwen3 VL Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.5 and Qwen3 VL Flash, 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 Flash?+
Claude Sonnet 4.5 is $3.00 and Qwen3 VL Flash is $0.15 per million tokens, so Qwen3 VL Flash is cheaper on this metric. Claude Sonnet 4.5 is $15.00 and Qwen3 VL Flash is $1.50 per million tokens, so Qwen3 VL Flash is cheaper on this metric.
Which has a larger context window, Claude Sonnet 4.5 or Qwen3 VL Flash?+
Qwen3 VL Flash has the larger sourced context window. Claude Sonnet 4.5 supports 200,000 tokens and Qwen3 VL Flash supports 262,144 tokens.
Which performs better in benchmarks, Claude Sonnet 4.5 or Qwen3 VL Flash?+
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 Flash be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Claude Sonnet 4.5 is not marked open weight; Qwen3 VL Flash is not marked open weight.
Can Claude Sonnet 4.5 and Qwen3 VL Flash understand images?+
Claude Sonnet 4.5 is documented with image input; Qwen3 VL Flash 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 Flash?+
Claude Sonnet 4.5 has a sourced maximum output of 64,000 tokens; Qwen3 VL Flash's maximum output is not reported. A larger limit cannot be determined.
Do Claude Sonnet 4.5 and Qwen3 VL Flash support reasoning and tool use?+
Claude Sonnet 4.5: reasoning, tool calling, and image input. Qwen3 VL Flash: 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 Flash?+
Claude Sonnet 4.5 has 1 sourced provider route; Qwen3 VL Flash has 1, a tie.
Which offers better value, Claude Sonnet 4.5 or Qwen3 VL Flash?+
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.