Qwen3.8-2.4T-A95B vs GPT-5.6 Luna
API pricing, benchmark indices and specs — updated 19 October 2026.
openai · B · API-only
Input / 1M
$0.20
Output / 1M
$1.20
AA index
37.3
proprietary · 1.0M context
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.8-2.4T-A95B | GPT-5.6 Luna |
|---|---|---|
| Deployment | Open weights · also via API | API-only (closed weights) |
| Parameters | 2,446.2 B | n/a — API-only |
| Architecture | Qwen3_5MoeForCausalLM | n/a — API-only |
| Context length | 262,144 | 1,050,000 |
| Licence | other | Proprietary |
| Commercial use | Unknown | Per API terms |
| Languages | — | n/a — API-only |
| Downloads 30d | 24,938 | n/a — API-only |
| Downloads all time | 101 K | n/a — API-only |
| Quantizations on the Hub | SAFETENSORS | n/a — API-only |
| Gated | No | n/a — API-only |
| First seen on the Hub | 2026-08-08 | n/a — API-only |
| API input price / 1M tokens | $2.00 | $0.20 |
| API output price / 1M tokens | $6.00 | $1.20 |
| Est. cost per 1M input + 1M output tokens | $8.00 | $1.40 |
| Cached input / 1M tokens | $0.25 | $0.02 |
| AA Intelligence Index | 39.9 | 37.3 |
| AA Coding Index | 71.9 | 71.4 |
| AA Agentic Index | 50.1 | 42.1 |
| Max output tokens | 909,000 | 128,000 |
| API providers | 5 | 3 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3.8-2.4T-A95B
$8.00
GPT-5.6 Luna
$1.40
GPT-5.6 Luna is 5.7× cheaper at list price.
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.8-2.4T-A95B · fp16 @ 256K ctx
17,123.8 GB / 24 GB