AI model comparison
Qwen3.8 27B vs GPT-5.6 Luna
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Input / 1M
- $0.43
- Output / 1M
- $2.55
- Context
- 1M
OpenAI
GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5.6 Luna
2.1x cheaper for a typical chat
Higher intelligence score
GPT-5.6 Luna
37.3 vs 33.7 on Artificial Analysis
Larger context window
GPT-5.6 Luna
1.05M vs 1M tokens
Newer release
Qwen3.8 27B
Released August 14, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 27B33.7GPT-5.6 Luna37.3Coding index
Qwen3.8 27B68.1GPT-5.6 Luna71.4Agentic index
Qwen3.8 27B45.8GPT-5.6 Luna42.1Pricing
Qwen3.8 27B vs GPT-5.6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 27B | GPT-5.6 Luna |
|---|---|---|
| Input tokensPer 1M tokens | $0.43 | $0.20 |
| Output tokensPer 1M tokens | $2.55 | $1.20 |
| Cached input (read)Per 1M tokens | $0.09 | $0.02 |
| Cache writePer 1M tokens | $0.53 | $0.25 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.40 in / $1.80 out above 272K |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.8 27B$2.13GPT-5.6 Luna$1Coding task
30K in, 4K out
Qwen3.8 27B$22.95$12.75 cachedGPT-5.6 Luna$10.80$5.40 cachedLong document summary
150K in, 2K out
Qwen3.8 27B$68.85$17.85 cachedGPT-5.6 Luna$32.40$5.40 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 27B | GPT-5.6 Luna |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 131K tokens | 128K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, Medium, Low | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Extra high | Medium |
| Release date | August 14, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 27B | GPT-5.6 Luna |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.8 27BView full model details- Qwen3.8 27B vs DeepSeek V4.1 Flash
- Qwen3.8 27B vs Hy4 preview
- Qwen3.8 27B vs DeepSeek V4 Flash 0731
- Qwen3.8 27B vs Step 5 Preview
- Qwen3.8 27B vs GLM 5.2
- Qwen3.8 27B vs MiniMax M3
- Qwen3.8 27B vs DeepSeek V4 Pro 0813
- Qwen3.8 27B vs DeepSeek V4 Flash Vision Exp
- Qwen3.8 27B vs Gemini 3.6 Flash
- Qwen3.8 27B vs Muse Spark 1.1
- Qwen3.8 27B vs Gemini 3.5 Flash
- Qwen3.8 27B vs Qwen3.7 Max
GPT-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs Hy4 preview
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna vs Gemini 3.8 Flash
- GPT-5.6 Luna vs DeepSeek V4 Pro 0813
- GPT-5.6 Luna vs Claude Haiku 5.5
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs Gemini 3.7 Flash
- GPT-5.6 Luna vs Muse Spark 1.2
- GPT-5.6 Luna vs GPT-5.5
- GPT-5.6 Luna vs DeepSeek V4 Flash Vision Exp
- GPT-5.6 Luna vs Muse Spark 1.1
- GPT-5.6 Luna vs GLM 5.3 FlashX
- GPT-5.6 Luna vs GPT-5.6 Luna Pro
Our take
GPT-5.6 Luna is 2.1x cheaper for a typical chat. GPT-5.6 Luna scores higher on the Artificial Analysis Intelligence Index (37.3 vs 33.7). GPT-5.6 Luna has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.8 27B or GPT-5.6 Luna cheaper?
GPT-5.6 Luna is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens, while Qwen3.8 27B costs $0.43 per 1M input tokens and $2.55 per 1M output tokens.
Which has a bigger context window, Qwen3.8 27B or GPT-5.6 Luna?
GPT-5.6 Luna supports up to 1.05M tokens of context, compared with 1M for Qwen3.8 27B.
Is Qwen3.8 27B smarter than GPT-5.6 Luna?
On the Artificial Analysis Intelligence Index, Qwen3.8 27B scores 33.7 and GPT-5.6 Luna scores 37.3, putting GPT-5.6 Luna ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 27B and GPT-5.6 Luna at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 27B and GPT-5.6 Luna answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 27B and GPT-5.6 Luna at the same time. Compare the answers side by side and keep the best one.