OpenAI: GPT-5.6 Luna (batch) vs Tencent: Hy3
Based on weekly OpenRouter usage tracked by AI Tier List, Tencent: Hy3 ranks #2 overall — ahead of OpenAI: GPT-5.6 Luna (batch) at #3. OpenAI: GPT-5.6 Luna (batch) is cheaper on input tokens at $0.10/1M vs $0.13/1M for Tencent: Hy3. OpenAI: GPT-5.6 Luna (batch) offers the larger context window at 1.1M tokens.
OpenAI: GPT-5.6 Luna (batch) vs Tencent: Hy3: which should you use?
Choose OpenAI: GPT-5.6 Luna (batch) if…
- Cheaper to read — $0.10 vs $0.13 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Bigger context window — 1.1M vs 262K tokens.
- It accepts file, image input, which Tencent: Hy3 does not.
- It is the newer model — released Jul 2026 against Jul 2026.
Choose Tencent: Hy3 if…
- It sees more real traffic — #2 overall on OpenRouter's weekly ranking, against #3 for OpenAI: GPT-5.6 Luna (batch).
- Cheaper to write — $0.53 vs $0.60 per 1M output tokens, the line item that decides generation-heavy costs.
Spec Comparison
| OpenAI: GPT-5.6 Luna (batch) | Tencent: Hy3 | |
|---|---|---|
| Author | openai | tencent |
| Input price (per 1M tokens) | $0.10 | $0.13 |
| Output price (per 1M tokens) | $0.60 | $0.53 |
| Context window | 1.1M | 262K |
| Input modalities | file, image, text | text |
| Output modalities | text | text |
| AA Intelligence | — | — |
| AA Coding | — | — |
| AA Agentic | — | — |
| Released | Jul 2026 | Jul 2026 |
What OpenAI: GPT-5.6 Luna (batch) and Tencent: Hy3 actually cost to run
On a read-heavy job — 1M tokens in, 100K out — OpenAI: GPT-5.6 Luna (batch) costs $0.16 and Tencent: Hy3 costs $0.18.
Flip the shape — 100K in, 1M out — and it becomes $0.61 for OpenAI: GPT-5.6 Luna (batch) versus $0.54 for Tencent: Hy3.
Both figures are the published per-token rates multiplied out; caching and batch discounts are not included.
Usage Rank by Task
| Task | OpenAI: GPT-5.6 Luna (batch) | Tencent: Hy3 |
|---|---|---|
| Overall | #3 | #2 |
| Memory Extraction | — | #3 |
| Multi-step Planning | #6 | #3 |
| Tool Dispatch | #4 | #3 |
| Web Search | #9 | #3 |
| Agent Workflows | #7 | #1 |
| Classification & Tagging | #3 | #10 |
| Debugging | #7 | #9 |
| DevOps Config | #6 | #7 |
| File Read/Write | #6 | #2 |
| Frontend UI | #5 | #6 |
| Code Implementation | #5 | #4 |
| Repo Analysis | #5 | #2 |
| Code Review & Security | #5 | #8 |
| Shell Execution | — | #4 |
About OpenAI: GPT-5.6 Luna (batch) and Tencent: Hy3
OpenAI: GPT-5.6 Luna (batch)
Built by openai · released Jul 2026 · 1.1M-token context
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Tencent: Hy3
Built by tencent · released Jul 2026 · 262K-token context
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
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FAQ
Which is better, OpenAI: GPT-5.6 Luna (batch) or Tencent: Hy3?
Based on weekly OpenRouter usage tracked by AI Tier List, Tencent: Hy3 ranks #2 overall — ahead of OpenAI: GPT-5.6 Luna (batch) at #3. OpenAI: GPT-5.6 Luna (batch) is cheaper on input tokens at $0.10/1M vs $0.13/1M for Tencent: Hy3. OpenAI: GPT-5.6 Luna (batch) offers the larger context window at 1.1M tokens.
Which is cheaper, OpenAI: GPT-5.6 Luna (batch) or Tencent: Hy3?
OpenAI: GPT-5.6 Luna (batch) is cheaper at $0.10 per 1M input tokens. Output pricing: OpenAI: GPT-5.6 Luna (batch) $0.60, Tencent: Hy3 $0.53.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.