GPT-6.1 Sol vs Qwen3-Next-80B-A3B-Instruct
GPT-6.1 Sol leads the LLM Stats Score 52.0 to 20.1. Qwen3-Next-80B-A3B-Instruct is 11.7x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 20.1, ranking #11 overall.
On price, Qwen3-Next-80B-A3B-Instruct is roughly 11.7x 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 52.0 and ranks #11 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-Next-80B-A3B-Instruct
- cost matters — it's about 11.7x cheaper per token
- 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
10 reported for GPT-6.1 Sol · 24 for Qwen3-Next-80B-A3B-Instruct
GPT-6.1 Sol and Qwen3-Next-80B-A3B-Instructdon'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 22.2x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.09/1M tokens).
For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 9.1x more expensive than Qwen3-Next-80B-A3B-Instruct ($1.10/1M tokens).
In conclusion, GPT-6.1 Sol is more expensive than Qwen3-Next-80B-A3B-Instruct.*
* 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-Next-80B-A3B-Instruct's 262,144 tokens. Qwen3-Next-80B-A3B-Instruct can generate longer responses up to 262,144 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-Next-80B-A3B-Instruct 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-Next-80B-A3B-Instruct
License
Usage and distribution terms
GPT-6.1 Sol is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6.1 Sol was released on 2026-09-29, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.
GPT-6.1 Sol is 13 months newer than Qwen3-Next-80B-A3B-Instruct.
Sep 29, 2026
0 days ago
1.1yr newerSep 10, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Qwen3-Next-80B-A3B-Instruct'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-Next-80B-A3B-Instruct's cutoff date.
Apr 2026
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Provider Availability
GPT-6.1 Sol is available from OpenAI. Qwen3-Next-80B-A3B-Instruct is available from DeepInfra, Novita.
GPT-6.1 Sol
Qwen3-Next-80B-A3B-Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Sol and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Sol vs Qwen3-Next-80B-A3B-Instruct.