GPT-5.6 Sol vs Qwen3.7 Max
GPT-5.6 Sol leads the LLM Stats Score 55.3 to 45.4. Qwen3.7 Max is 6.0x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 55.3 to 45.4, ranking #4 overall.
In the 2 individual benchmarks reported for both models, GPT-5.6 Sol wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7 Max is roughly 6.0x 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
- overall performance matters — it scores 55.3 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Qwen3.7 Max
- cost matters — it's about 6.0x cheaper per token
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 Qwen3.7 Max
GPT-5.6 Sol outperforms in 2 benchmarks (GPQA, SWE-Bench Pro), while Qwen3.7 Max is better at 0 benchmarks.
GPT-5.6 Sol significantly outperforms across most 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 4.0x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 8.0x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than Qwen3.7 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 Qwen3.7 Max's 1,000,000 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.6 Sol supports multimodal inputs, whereas Qwen3.7 Max does not.
GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Sol
Qwen3.7 Max
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5.6 Sol was released on 2026-07-09, while Qwen3.7 Max was released on 2026-05-19.
GPT-5.6 Sol is 2 months newer than Qwen3.7 Max.
Jul 9, 2026
1 months ago
1mo newerMay 19, 2026
3 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Qwen3.7 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 Qwen3.7 Max's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Qwen3.7 Max is available from Novita, Together.
GPT-5.6 Sol
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs Qwen3.7 Max.