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- GPT-5.6 Luna vs. Qwen 3.8 27B
GPT-5.6 Lunavs.Qwen 3.8 27B
Which one is better?
GPT-5.6 Luna is clearly ahead in the overall index. Qwen 3.8 27B is cheaper for input, GPT-5.6 Luna for output.
GPT-5.6 Luna
Rank 32 to 41
Qwen 3.8 27B
Rank 44 to 57
GPT-5.6 Luna
fairly fast
Qwen 3.8 27B
slow
GPT-5.6 Luna
cheap
Qwen 3.8 27B
fairly cheap
GPT-5.6 Luna
- Subscription
Free to use at OpenAI (ChatGPT Free), more from €8 a month (ChatGPT Go). Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 58 plans in Germany.
- Via API
$0.20 input, $1.20 output per 1M tokens, cheaper since Oct 16, 2026 (before $0.22 and $1.32).
- Note
- There is a successor: GPT-6 Luna (rank 31 to 39, $0.10 input, $0.50 output).
Qwen 3.8 27B
- Subscription
No Alibaba subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 10 plans in Germany.
- Via API
$0.04 input, $2.50 output per 1M tokens according to the provider; the price index has listed it at $0.42 and $3 since Oct 27, 2026.
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
GPT-5.6 Luna ahead: 7Qwen 3.8 27B ahead: 0level: 2too little data: 1of 10 areas
Show 2 more areas that do not count toward the overall index
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Pelican on a bicycle
A community classic for free-form SVG drawing.
GPT-5.6 Luna

Reasoning (requested): high
Current attempt
- Run date
- Sep 7, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-5.6-luna
- API model reported in response
- openai/gpt-5.6-luna
- Reasoning setting
- high
- Pinned endpoint
- OpenAI | openai/gpt-5.6-luna-20260709
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 49.9 s
Visually reviewed. This individual test does not establish overall model quality.
Qwen 3.8 27B
Not tested yet
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Shared test round: 43b8c5c46830
GPT-5.6 Luna
Unavailable in this round
Qwen 3.8 27B

Test details
API reports 0 reasoning tokensAPI model: qwen/qwen3.8-27b865 output tokensAll data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-5.6 Luna | Qwen 3.8 27B |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 36 | 11 |
| Rank | Rank 32 to 41 of 95 | Rank 44 to 57 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.20above 272,000 tokens: $0.40 | $0.04 |
| Outputwhat the model writes | $1.20above 272,000 tokens: $1.80 | $2.50 |
| Speed | ||
| Tokens per second | 127 | 40 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | Feb 16, 2026 | n/a |
| Released | Jul 9, 2026 | Aug 14, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: GPT-5.6 LunaB: Qwen 3.8 27B
Show 54 more benchmarks
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