Claude Sonnet 4.6 vs Hy4 preview
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Claude Sonnet 4.6 | Hy4 preview |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #16 of 2260.3 score | UnrankedNot in the 22-model eligible cohort |
| CostLower is better · Published-token output estimate | #25 of 36$0.198 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.0 | #17 of 2246.0 score | UnrankedNot in the 22-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Claude Sonnet 4.6 | Hy4 preview |
|---|---|---|
| Developer | Anthropic | Tencent |
| Family | Claude 4 | Hy4 |
| Model | Claude Sonnet 4.6 | Hy4 preview |
| Version | Claude Sonnet 4.6 | Hy4 preview |
| Lifecycle | active | preview |
| Released | 2026-02-17 | 2026-08-28 |
| Knowledge cutoff | 2025-08-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 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, structured_outputs, tools | chat, generation, reasoning, tools |
14 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Claude Sonnet 4.6 Capabilities
Hy4 preview Capabilities
Internal Comparison Graph
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Claude Sonnet 4.6Anthropic | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.6 vs Hy4 preview FAQs
Is Claude Sonnet 4.6 or Hy4 preview better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 4.6 or Hy4 preview?+
Claude Sonnet 4.6 is $3.00 and Hy4 preview is $0.834 per million tokens, so Hy4 preview is cheaper on this metric. Claude Sonnet 4.6 is $15.00 and Hy4 preview is $2.501 per million tokens, so Hy4 preview is cheaper on this metric.
Which has a larger context window, Claude Sonnet 4.6 or Hy4 preview?+
Neither model has a larger sourced context window in this comparison. Claude Sonnet 4.6 is 1,000K and Hy4 preview is 1,000K.
Which performs better in benchmarks, Claude Sonnet 4.6 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 Sonnet 4.6 or Hy4 preview be self-hosted?+
Hy4 preview is the only model in this pair currently marked as self-hostable. Claude Sonnet 4.6 is not marked open weight; Hy4 preview is open weight.
Can Claude Sonnet 4.6 and Hy4 preview understand images?+
Claude Sonnet 4.6 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 Sonnet 4.6 or Hy4 preview?+
Neither has a larger sourced maximum output. Claude Sonnet 4.6 is 128K and Hy4 preview is —.
Do Claude Sonnet 4.6 and Hy4 preview support reasoning and tool use?+
Claude Sonnet 4.6: 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 Sonnet 4.6 or Hy4 preview?+
Claude Sonnet 4.6 has 2 sourced provider routes; Hy4 preview has 1, so Claude Sonnet 4.6 has broader tracked availability.
Which offers better value, Claude Sonnet 4.6 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.