GPT-6.1 Sol vs Qwen3 Max
GPT-6.1 Sol leads the LLM Stats Score 53.9 to 21.7. Qwen3 Max is 2.5x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 53.9 to 21.7, ranking #7 overall.
On price, Qwen3 Max is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 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-6.1 Sol
- overall performance matters — it scores 53.9 and ranks #7 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3 Max
- cost matters — it's about 2.5x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for GPT-6.1 Sol · 6 for Qwen3 Max
GPT-6.1 Sol and Qwen3 Maxdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6.1 Sol ($2.00/1M tokens) is 4.0x more expensive than Qwen3 Max ($0.50/1M tokens).
For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 2.0x more expensive than Qwen3 Max ($5.00/1M tokens).
In conclusion, GPT-6.1 Sol is more expensive than Qwen3 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Sol accepts 1,050,000 input tokens compared to Qwen3 Max's 256,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while GPT-6.1 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Sol supports multimodal inputs, whereas Qwen3 Max does not.
GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6.1 Sol
Qwen3 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-6.1 Sol was released on 2026-09-29, while Qwen3 Max was released on 2025-12-15.
GPT-6.1 Sol is 10 months newer than Qwen3 Max.
Sep 29, 2026
1 weeks ago
9mo newerDec 15, 2025
9 months ago
Knowledge Cutoff
When training data ends
GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Qwen3 Max's cutoff date is not specified.
We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen3 Max's cutoff date.
Apr 2026
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Provider Availability
GPT-6.1 Sol is available from OpenAI. Qwen3 Max is available from Novita, DeepInfra.
GPT-6.1 Sol
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Sol and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Sol vs Qwen3 Max.