Claude Haiku 4.5 vs Qwen3 VL Plus
At a Glance
| Compare | Claude Haiku 4.5Anthropic |  Qwen3 VL PlusQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 | UnrankedNot in the 46-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 200K | 262K |
| 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 | Claude Haiku 4.5 | Qwen3 VL Plus |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 5 | Qwen3 VL |
| Model | Claude Haiku 4.5 | Qwen3 VL Plus |
| Version | Claude Haiku 4.5 | Qwen3 VL Plus |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2025-12-19 |
| Knowledge cutoff | Unknown | 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), Deepinfra (Standard) | Alibaba Cloud Model Studio (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools, vision |
Claude Haiku 4.5 Capabilities
Qwen3 VL Plus Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Qwen3 VL Plus FAQs
Is Claude Haiku 4.5 or Qwen3 VL Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 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 Haiku 4.5 or Qwen3 VL Plus?+
Claude Haiku 4.5 is $1.00 and Qwen3 VL Plus is $1.00 per million tokens, so they are tied on this metric. Claude Haiku 4.5 is $5.00 and Qwen3 VL Plus is $10.00 per million tokens, so Claude Haiku 4.5 is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or Qwen3 VL Plus?+
Qwen3 VL Plus has the larger sourced context window. Claude Haiku 4.5 supports 200K and Qwen3 VL Plus supports 262K.
Which performs better in benchmarks, Claude Haiku 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 Haiku 4.5 or Qwen3 VL Plus be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Haiku 4.5 is not marked open weight; Qwen3 VL Plus is not marked open weight.
Can Claude Haiku 4.5 and Qwen3 VL Plus understand images?+
Claude Haiku 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 Haiku 4.5 or Qwen3 VL Plus?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and Qwen3 VL Plus is —.
Do Claude Haiku 4.5 and Qwen3 VL Plus support reasoning and tool use?+
Claude Haiku 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 Haiku 4.5 or Qwen3 VL Plus?+
Claude Haiku 4.5 has 2 sourced provider routes; Qwen3 VL Plus has 1, so Claude Haiku 4.5 has broader tracked availability.
Which offers better value, Claude Haiku 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.