AI model comparison
GPT-6 Luna vs Qwen3.6 35B A3B
Side by side comparison of GPT-6 Luna and Qwen3.6 35B A3B on pricing, benchmark scores, context window, and more.
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
- Input / 1M
- $0.10
- Output / 1M
- $0.50
- Context
- 1.05M
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.
- Input / 1M
- $0.10
- Output / 1M
- $0.90
- Context
- 262K
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-6 Luna
1.4x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-6 Luna
1.05M vs 262K tokens
Newer release
GPT-6 Luna
Released September 22, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GPT-6 Luna vs Qwen3.6 35B A3B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.10 |
| Output tokensPer 1M tokens | $0.50 | $0.90 |
| Cached input (read)Per 1M tokens | $0.01 | $0.03 |
| Cache writePer 1M tokens | $0.13 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.20 in / $0.75 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | Not available |
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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 128K tokens | 236K tokens |
| Input types | File, Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | September 22, 2026 | April 27, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Our take
GPT-6 Luna is 1.4x cheaper for a typical chat. GPT-6 Luna has the larger context window (1.05M vs 262K 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 GPT-6 Luna or Qwen3.6 35B A3B cheaper?
GPT-6 Luna is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, while Qwen3.6 35B A3B costs $0.10 per 1M input tokens and $0.90 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or Qwen3.6 35B A3B?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 262K for Qwen3.6 35B A3B.
Can I use GPT-6 Luna and Qwen3.6 35B A3B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and Qwen3.6 35B A3B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and Qwen3.6 35B A3B at the same time. Compare the answers side by side and keep the best one.