GPT OSS 120B High vs Qwen3-Next-80B-A3B-Instruct
GPT OSS 120B High leads the LLM Stats Score 25.4 to 20.1. GPT OSS 120B High is 1.7x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT OSS 120B High leads the overall LLM Stats Score 25.4 to 20.1, ranking #157 overall.
In the 4 individual benchmarks reported for both models, GPT OSS 120B High wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B High is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-Next-80B-A3B-Instruct also accepts a larger context window (262,144 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 120B High
- overall performance matters — it scores 25.4 and ranks #157 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- cost matters — it's about 1.7x cheaper per token
Choose Qwen3-Next-80B-A3B-Instruct
- you process long inputs — it offers a 262,144 token context window
- 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 120B High · 24 for Qwen3-Next-80B-A3B-Instruct
GPT OSS 120B High outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, MMLU-Pro), while Qwen3-Next-80B-A3B-Instruct is better at 0 benchmarks.
GPT OSS 120B High 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 120B High ($0.10/1M tokens) is 1.1x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.09/1M tokens).
For output processing, GPT OSS 120B High ($0.50/1M tokens) is 2.2x cheaper than Qwen3-Next-80B-A3B-Instruct ($1.10/1M tokens).
In conclusion, Qwen3-Next-80B-A3B-Instruct is more expensive than GPT OSS 120B High.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 120B High has 36.8B more parameters than Qwen3-Next-80B-A3B-Instruct, making it 46.0% larger.
Context Window
Maximum input and output token capacity
Qwen3-Next-80B-A3B-Instruct accepts 262,144 input tokens compared to GPT OSS 120B High's 131,072 tokens. Qwen3-Next-80B-A3B-Instruct can generate longer responses up to 262,144 tokens, while GPT OSS 120B High is limited to 131,072 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 120B High was released on 2025-08-05, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.
Qwen3-Next-80B-A3B-Instruct is 1 month newer than GPT OSS 120B High.
Aug 5, 2025
1.1 years ago
Sep 10, 2025
1.0 years 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 120B High is available from OpenAI, Fireworks. Qwen3-Next-80B-A3B-Instruct is available from DeepInfra, Novita.
GPT OSS 120B High
Qwen3-Next-80B-A3B-Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 120B High and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B High vs Qwen3-Next-80B-A3B-Instruct.