Claude Haiku 4.5 vs Qwen3 VL Flash
At a Glance
| Compare | Claude Haiku 4.5Anthropic |  Qwen3 VL FlashQwen |
|---|---|---|
| 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 Flash |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 5 | Qwen3 VL |
| Model | Claude Haiku 4.5 | Qwen3 VL Flash |
| Version | Claude Haiku 4.5 | Qwen3 VL Flash |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2026-01-22 |
| 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 Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Qwen3 VL Flash FAQs
Is Claude Haiku 4.5 or Qwen3 VL Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 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 Haiku 4.5 or Qwen3 VL Flash?+
Claude Haiku 4.5 is $1.00 and Qwen3 VL Flash is $0.15 per million tokens, so Qwen3 VL Flash is cheaper on this metric. Claude Haiku 4.5 is $5.00 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 Haiku 4.5 or Qwen3 VL Flash?+
Qwen3 VL Flash has the larger sourced context window. Claude Haiku 4.5 supports 200K and Qwen3 VL Flash supports 262K.
Which performs better in benchmarks, Claude Haiku 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 Haiku 4.5 or Qwen3 VL Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Haiku 4.5 is not marked open weight; Qwen3 VL Flash is not marked open weight.
Can Claude Haiku 4.5 and Qwen3 VL Flash understand images?+
Claude Haiku 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 Haiku 4.5 or Qwen3 VL Flash?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and Qwen3 VL Flash is —.
Do Claude Haiku 4.5 and Qwen3 VL Flash support reasoning and tool use?+
Claude Haiku 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 Haiku 4.5 or Qwen3 VL Flash?+
Claude Haiku 4.5 has 2 sourced provider routes; Qwen3 VL Flash has 1, so Claude Haiku 4.5 has broader tracked availability.
Which offers better value, Claude Haiku 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.