GPT-5.6 Sol vs Qwen3.8 Max
GPT-5.6 Sol and Qwen3.8 Max are closely matched at 55.1 and 52.0 on the LLM Stats Score. Qwen3.8 Max is 4.5x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5.6 Sol and Qwen3.8 Max are closely matched on the overall LLM Stats Score at 55.1 and 52.0.
The models split the 10 individual benchmarks reported for both models evenly.
On price, Qwen3.8 Max is roughly 4.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5.6 Sol
- you process long inputs — it offers a 1,050,000 token context window
Choose Qwen3.8 Max
- cost matters — it's about 4.5x cheaper per token
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
45 reported for GPT-5.6 Sol · 42 for Qwen3.8 Max
GPT-5.6 Sol outperforms in 5 benchmarks (Agents' Last Exam, DeepSWE 1.1, GPQA, MMMU-Pro, Terminal-Bench 2.1), while Qwen3.8 Max is better at 5 benchmarks (AutomationBench, HealthBench, MRCR v2 (8-needle), SWE-Bench Pro, Toolathlon).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 3.0x more expensive than Qwen3.8 Max ($1.65/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 6.1x more expensive than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than Qwen3.8 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to Qwen3.8 Max's 256,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Sol and Qwen3.8 Max support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
Qwen3.8 Max
License
Usage and distribution terms
GPT-5.6 Sol is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
GPT-5.6 Sol was released on 2026-07-09, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 1 month newer than GPT-5.6 Sol.
Jul 9, 2026
2 months ago
Aug 2, 2026
1 months ago
3w newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Qwen3.8 Max's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen3.8 Max's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
GPT-5.6 Sol
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs Qwen3.8 Max.