AI model comparison
Qwen3.8 Max (0902) vs GPT-5.6 Sol
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 1M
OpenAI
GPT-5.6 Sol
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.8 Max (0902)
1.3x cheaper for a typical chat
Higher intelligence score
GPT-5.6 Sol
47 vs 45.4 on Artificial Analysis
Larger context window
GPT-5.6 Sol
1.05M vs 1M tokens
Newer release
Qwen3.8 Max (0902)
Released September 3, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 Max (0902)45.4GPT-5.6 Sol47Coding index
Qwen3.8 Max (0902)76.2GPT-5.6 Sol77.4Agentic index
Qwen3.8 Max (0902)56GPT-5.6 Sol50.2Pricing
Qwen3.8 Max (0902) vs GPT-5.6 Sol API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 Max (0902) | GPT-5.6 Sol |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $6 | $10 |
| Cached input (read)Per 1M tokens | $0.25 | $0.20 |
| Cache writePer 1M tokens | $2.50 | $2.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $4 in / $15 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 Max (0902)$7GPT-5.6 Sol$9Coding task
30K in, 4K out
Qwen3.8 Max (0902)$84$31.50 cachedGPT-5.6 Sol$100$46 cachedLong document summary
150K in, 2K out
Qwen3.8 Max (0902)$312$49.50 cachedGPT-5.6 Sol$320$50 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 Max (0902) | GPT-5.6 Sol |
|---|---|---|
| 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, High, Medium, Low, Minimal | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Extra high | Medium |
| Release date | September 3, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 Max (0902) | GPT-5.6 Sol |
|---|---|---|
| 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 Max (0902)View full model details- Qwen3.8 Max (0902) vs Muse Spark 1.3
- Qwen3.8 Max (0902) vs GPT-6 Sol
- Qwen3.8 Max (0902) vs Grok 4.7
- Qwen3.8 Max (0902) vs MiMo-V2.6-Pro
- Qwen3.8 Max (0902) vs GLM 5.3
- Qwen3.8 Max (0902) vs Grok 4.6
- Qwen3.8 Max (0902) vs Kimi K3
- Qwen3.8 Max (0902) vs Gemini 3.8 Flash
- Qwen3.8 Max (0902) vs Qwen3.8 2.4T A95B
- Qwen3.8 Max (0902) vs DeepSeek V4.1 Flash
GPT-5.6 SolView full model details- GPT-5.6 Sol vs Claude Opus 5.5
- GPT-5.6 Sol vs Claude Sonnet 5.5
- GPT-5.6 Sol vs Claude Fable 5.1
- GPT-5.6 Sol vs GPT-6 Astra
- GPT-5.6 Sol vs GPT-6.1 Sol
- GPT-5.6 Sol vs Claude Opus 5
- GPT-5.6 Sol vs Claude Fable 5
- GPT-5.6 Sol vs Muse Spark 1.3
- GPT-5.6 Sol vs GPT-6 Sol
- GPT-5.6 Sol vs Grok 4.7
- GPT-5.6 Sol vs MiMo-V2.6-Pro
- GPT-5.6 Sol vs GLM 5.3
- GPT-5.6 Sol vs Grok 4.6
- GPT-5.6 Sol vs Kimi K3
- GPT-5.6 Sol vs GPT-5.6 Terra
- GPT-5.6 Sol vs GPT-5.4
Our take
Qwen3.8 Max (0902) is 1.3x cheaper for a typical chat. GPT-5.6 Sol scores higher on the Artificial Analysis Intelligence Index (47 vs 45.4). GPT-5.6 Sol 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 Max (0902) or GPT-5.6 Sol cheaper?
Qwen3.8 Max (0902) is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.8 Max (0902) costs $2 per 1M input tokens and $6 per 1M output tokens, while GPT-5.6 Sol costs $2 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, Qwen3.8 Max (0902) or GPT-5.6 Sol?
GPT-5.6 Sol supports up to 1.05M tokens of context, compared with 1M for Qwen3.8 Max (0902).
Is Qwen3.8 Max (0902) smarter than GPT-5.6 Sol?
On the Artificial Analysis Intelligence Index, Qwen3.8 Max (0902) scores 45.4 and GPT-5.6 Sol scores 47, putting GPT-5.6 Sol ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 Max (0902) and GPT-5.6 Sol at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 Max (0902) and GPT-5.6 Sol answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 Max (0902) and GPT-5.6 Sol at the same time. Compare the answers side by side and keep the best one.