GPT-5.1 Codex Mini vs Qwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking leads the LLM Stats Score 23.9 to -2.5. Qwen3-Next-80B-A3B-Thinking is 1.4x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3-Next-80B-A3B-Thinking leads the overall LLM Stats Score 23.9 to -2.5, ranking #163 overall.
In the 1 individual benchmarks reported for both models, Qwen3-Next-80B-A3B-Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3-Next-80B-A3B-Thinking is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.1 Codex Mini also accepts a larger context window (400,000 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-5.1 Codex Mini
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Qwen3-Next-80B-A3B-Thinking
- overall performance matters — it scores 23.9 and ranks #163 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for GPT-5.1 Codex Mini · 23 for Qwen3-Next-80B-A3B-Thinking
GPT-5.1 Codex Mini outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (AIME 2025).
Qwen3-Next-80B-A3B-Thinking 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-5.1 Codex Mini ($0.25/1M tokens) is 1.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).
For output processing, GPT-5.1 Codex Mini ($2.00/1M tokens) is 1.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).
In conclusion, GPT-5.1 Codex Mini is more expensive than Qwen3-Next-80B-A3B-Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.1 Codex Mini accepts 400,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. GPT-5.1 Codex Mini can generate longer responses up to 128,000 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.1 Codex Mini supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.
GPT-5.1 Codex Mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 Codex Mini
Qwen3-Next-80B-A3B-Thinking
License
Usage and distribution terms
GPT-5.1 Codex Mini is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking 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-5.1 Codex Mini was released on 2025-11-12, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
GPT-5.1 Codex Mini is 2 months newer than Qwen3-Next-80B-A3B-Thinking.
Nov 12, 2025
10 months ago
2mo newerSep 10, 2025
12 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.1 Codex Mini is available from OpenAI. Qwen3-Next-80B-A3B-Thinking is available from Novita.
GPT-5.1 Codex Mini
Qwen3-Next-80B-A3B-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.1 Codex Mini and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.1 Codex Mini vs Qwen3-Next-80B-A3B-Thinking.