Claude Haiku 4.5 vs Hy4 preview
At a Glance
| Compare | Claude Haiku 4.5Anthropic |  Hy4 previewTencent |
|---|---|---|
| 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 | $0.834Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $2.501Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 200K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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 | Hy4 preview |
|---|---|---|
| Developer | Anthropic | Tencent |
| Family | Claude 4 5 | Hy4 |
| Model | Claude Haiku 4.5 | Hy4 preview |
| Version | Claude Haiku 4.5 | Hy4 preview |
| Lifecycle | active | preview |
| Released | 2025-10-15 | 2026-08-28 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 200K | 1,000K |
| Total parameters | Unknown | 770B |
| Active parameters | Unknown | 49B |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Claude Haiku 4.5 Capabilities
Hy4 preview Capabilities
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Claude Haiku 4.5Anthropic | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Hy4 preview FAQs
Is Claude Haiku 4.5 or Hy4 preview better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Haiku 4.5 or Hy4 preview?+
Claude Haiku 4.5 is $1.00 and Hy4 preview is $0.834 per million tokens, so Hy4 preview is cheaper on this metric. Claude Haiku 4.5 is $5.00 and Hy4 preview is $2.501 per million tokens, so Hy4 preview is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or Hy4 preview?+
Hy4 preview has the larger sourced context window. Claude Haiku 4.5 supports 200K and Hy4 preview supports 1,000K.
Which performs better in benchmarks, Claude Haiku 4.5 or Hy4 preview?+
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 Hy4 preview be self-hosted?+
Hy4 preview is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; Hy4 preview is open weight.
Can Claude Haiku 4.5 and Hy4 preview understand images?+
Claude Haiku 4.5 is documented with image input; Hy4 preview is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Haiku 4.5 or Hy4 preview?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and Hy4 preview is —.
Do Claude Haiku 4.5 and Hy4 preview support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Hy4 preview: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Hy4 preview?+
Claude Haiku 4.5 has 2 sourced provider routes; Hy4 preview has 1, so Claude Haiku 4.5 has broader tracked availability.
Which offers better value, Claude Haiku 4.5 or Hy4 preview?+
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.