GPT-5.6 Luna vs Hy4 preview
At a Glance
| Compare | GPT-5.6 LunaOpenAI | Hy4 previewTencent |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #31 of 4652.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #6 of 44$0.026 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #4 of 3864.8 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.20Openai ↗ · Sep 3, 2026 | $0.834Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $1.20Openai ↗ · Sep 3, 2026 | $2.501Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,050K | 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
| Benchmark | GPT-5.6 Luna | Hy4 preview |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -0.4495% of row best · score · GPT 5.6 Luna (xHigh); 95% CI [-1.27310649, 0.39719069]; sessions 29186; observations 2307801; rank 27 | 5.01100% of row best · score · Hy4 preview; 95% CI [3.98979428, 6.02540735]; sessions 38074; observations 2777850; rank 11 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | GPT-5.6 Luna | Hy4 preview |
|---|---|---|
| Developer | OpenAI | Tencent |
| Family | Gpt 5 6 | Hy4 |
| Model | GPT-5.6 Luna | Hy4 preview |
| Version | GPT-5.6 Luna | Hy4 preview |
| Lifecycle | active | preview |
| Released | Unknown | 2026-08-28 |
| Knowledge cutoff | 2026-02-16 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,050K | 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 | Openai (Standard), Openrouter (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
GPT-5.6 Luna Capabilities
Hy4 preview Capabilities
Primary Evidence
Sources and Freshness
Questions
GPT-5.6 Luna vs Hy4 preview FAQs
Is GPT-5.6 Luna or Hy4 preview better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Luna and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.6 Luna or Hy4 preview?+
GPT-5.6 Luna is $0.20 and Hy4 preview is $0.834 per million tokens, so GPT-5.6 Luna is cheaper on this metric. GPT-5.6 Luna is $1.20 and Hy4 preview is $2.501 per million tokens, so GPT-5.6 Luna is cheaper on this metric.
Which has a larger context window, GPT-5.6 Luna or Hy4 preview?+
GPT-5.6 Luna has the larger sourced context window. GPT-5.6 Luna supports 1,050K and Hy4 preview supports 1,000K.
Which performs better in benchmarks, GPT-5.6 Luna or Hy4 preview?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-5.6 Luna or Hy4 preview be self-hosted?+
Hy4 preview is the only model in this pair currently marked as self-hostable. GPT-5.6 Luna is not marked open weight; Hy4 preview is open weight.
Can GPT-5.6 Luna and Hy4 preview understand images?+
GPT-5.6 Luna 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, GPT-5.6 Luna or Hy4 preview?+
Neither has a larger sourced maximum output. GPT-5.6 Luna is 128K and Hy4 preview is —.
Do GPT-5.6 Luna and Hy4 preview support reasoning and tool use?+
GPT-5.6 Luna: 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, GPT-5.6 Luna or Hy4 preview?+
GPT-5.6 Luna has 2 sourced provider routes; Hy4 preview has 1, so GPT-5.6 Luna has broader tracked availability.
Which offers better value, GPT-5.6 Luna 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.