GPT OSS 20B vs Qwen3-Next-80B-A3B-Thinking
GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking are closely matched at 18.1 and 23.9 on the LLM Stats Score. GPT OSS 20B is 8.5x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking are closely matched on the overall LLM Stats Score at 18.1 and 23.9.
In the 2 individual benchmarks reported for both models, Qwen3-Next-80B-A3B-Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 20B is roughly 8.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 20B also accepts a larger context window (131,072 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 OSS 20B
- cost matters — it's about 8.5x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose Qwen3-Next-80B-A3B-Thinking
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GPT OSS 20B · 23 for Qwen3-Next-80B-A3B-Thinking
GPT OSS 20B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (GPQA, TAU-bench Retail).
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 OSS 20B ($0.03/1M tokens) is 5.0x cheaper than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).
For output processing, GPT OSS 20B ($0.14/1M tokens) is 10.7x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).
In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than GPT OSS 20B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-Next-80B-A3B-Thinking has 59.1B more parameters than GPT OSS 20B, making it 282.8% larger.
Context Window
Maximum input and output token capacity
GPT OSS 20B accepts 131,072 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. GPT OSS 20B can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT OSS 20B was released on 2025-08-05, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
Qwen3-Next-80B-A3B-Thinking is 1 month newer than GPT OSS 20B.
Aug 5, 2025
1.1 years ago
Sep 10, 2025
12 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT OSS 20B is available from DeepInfra, Novita, Fireworks, Groq, OpenAI. Qwen3-Next-80B-A3B-Thinking is available from Novita.
GPT OSS 20B
Qwen3-Next-80B-A3B-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 20B vs Qwen3-Next-80B-A3B-Thinking.