Model decision surface
Compare AI models
Start with Qwen3.8 Max (0902) and Hy4 preview, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Qwen3.8 Max (0902) vs Hy4 preview
Live dataset updated 9/15/2026, 9:19:37 PM UTC
Open 1200×630 evidence receipt| Field | Hy4 preview Tencent | |
|---|---|---|
| ModelCap position | #5 | #26 |
| Index score | 83.2 | 70.3 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured9 reported rows against measured corpus ladders (38%); publisher-corpus-prior over 194 held-out anchors (12%); opens above measured predecessor tencent/hy3 on same-family ordering evidence (41%); 1 specialist-board observation at 2.5% support (9%); shrunk 1.2 toward the measured corpus |
| Input / 1M | $2.00 | $0.834 |
| Output / 1M | $6.00 | $2.50 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 1 | 1 |
| Weight access | API only | Open weights |
Decision facts
- Qwen3.8 Max (0902) is #5; Hy4 preview is #26 on the same current language board.
- Index scores are 83.2 for Qwen3.8 Max (0902) and 70.3 for Hy4 preview. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $6.00 for Qwen3.8 Max (0902) and $2.50 for Hy4 preview. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $7.00 for Qwen3.8 Max (0902) versus $2.92 for Hy4 preview. Hy4 preview costs 58.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,000,000 tokens for Qwen3.8 Max (0902) and 1,048,576 for Hy4 preview.
- Weight access differs: Qwen3.8 Max (0902) is none; Hy4 preview is open.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.