High-volume, cost-sensitive work
Choose GPT-5.6 Luna
GPT-5.6 Luna costs 42% less on a typical mix of three input tokens for every output token ($0.45 against $0.78 per million tokens).
Choose GPT-5.6 Luna for high-volume, cost-sensitive work, writing and code generation and reused prompts and documents (RAG, agents). Choose Qwen3.8 27B for the latest release.
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Choose GPT-5.6 Luna
GPT-5.6 Luna costs 42% less on a typical mix of three input tokens for every output token ($0.45 against $0.78 per million tokens).
Choose GPT-5.6 Luna
GPT-5.6 Luna charges $1.20 per million output tokens, against $2.50 for Qwen3.8 27B. Output dominates the bill when answers are long.
Choose GPT-5.6 Luna
GPT-5.6 Luna charges $0.02 per million cached input tokens, against $0.09 for Qwen3.8 27B.
Choose Qwen3.8 27B
Qwen3.8 27B is the newer release (Aug 14, 2026, against Jul 9, 2026 for GPT-5.6 Luna).
| Volume | GPT-5.6 Luna | Qwen3.8 27B | Difference |
|---|---|---|---|
| Prototype: 1M input, 250K output tokens | $0.50 | $0.83 | GPT-5.6 Luna, $0.33 less |
| Production: 20M input, 5M output tokens | $10.00 | $16.50 | GPT-5.6 Luna, $6.50 less |
| Scale: 500M input, 100M output tokens | $220.00 | $350.00 | GPT-5.6 Luna, $130.00 less |
Standard rates, without caching or batch discounts. Volumes are per month.
| GPT-5.6 Luna | Qwen3.8 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud (Qwen) |
| Category | Language models | Language models |
| Status | Generally available | Generally available |
| Headline price | $0.45 / 1M tokens | $0.775 / 1M tokens |
| Input | $0.20 / 1M tokens | $0.20 / 1M tokens |
| Output | $1.20 / 1M tokens | $2.50 / 1M tokens |
| Cached input | $0.02 / 1M tokens | $0.09 / 1M tokens |
| Context window | 1.05M | 1M |
| Max output | 128k | 236k |
| Released | Jul 9, 2026 | Aug 14, 2026 |
| Knowledge cutoff | February 2026 | No data |
| Licence | Proprietary | Proprietary |
| Capabilities | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API | Vision, Reasoning, Tool calling, Structured output, Prompt caching |
| API model id | gpt-5.6-luna | qwen3.8-27b |
Leader in bold.
| Benchmark | GPT-5.6 Luna | Qwen3.8 27B |
|---|---|---|
| Intelligence Index | 37.3 | No data |
| SciCode | 53.6% | No data |
| GPQA Diamond | 91.1% | No data |
| Humanity's Last Exam | 39.5% | No data |
| MMMU-Pro (visual reasoning) | 78.6% | No data |
| Long-context reasoning (AA-LCR) | 83.7% | No data |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Choose GPT-5.6 Luna for high-volume, cost-sensitive work, writing and code generation and reused prompts and documents (RAG, agents). Choose Qwen3.8 27B for the latest release.
GPT-5.6 Luna is 42% cheaper than Qwen3.8 27B at the headline price ($0.45 / 1M tokens vs $0.775 / 1M tokens).
GPT-5.6 Luna reads more per request: 1.05M tokens against 1M.
GPT-5.6 Luna is made by OpenAI and Qwen3.8 27B by Alibaba Cloud (Qwen). GPT-5.6 Luna is 42% cheaper than Qwen3.8 27B at the headline price ($0.45 / 1M tokens vs $0.775 / 1M tokens). GPT-5.6 Luna reads more per request: 1.05M tokens against 1M. Qwen3.8 27B is the newer model (Aug 14, 2026, against Jul 9, 2026). Only GPT-5.6 Luna offers batch api.
At 20 million input and 5 million output tokens a month, GPT-5.6 Luna costs $10.00 and Qwen3.8 27B costs $16.50, at standard rates.
Qwen3.8 27B was released on Aug 14, 2026 and GPT-5.6 Luna on Jul 9, 2026.