GPT OSS 120B vs Nova Pro
GPT OSS 120B leads the LLM Stats Score 29.4 to 12.8. GPT OSS 120B is 7.8x cheaper per token.
OpenAI · Amazon · Updated for 2026
Which is better?
GPT OSS 120B leads the overall LLM Stats Score 29.4 to 12.8, ranking #115 overall.
In the 2 individual benchmarks reported for both models, GPT OSS 120B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B is roughly 7.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Pro also accepts a larger context window (300,000 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 OSS 120B
- overall performance matters — it scores 29.4 and ranks #115 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 7.8x cheaper per token
- you want the most recent training data — it shipped Aug 2025
- you need open weights you can self-host or fine-tune
Choose Nova Pro
- you process long inputs — it offers a 300,000 token context window
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 · 27 for Nova Pro
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Nova Pro is better at 0 benchmarks.
GPT OSS 120B 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 ($0.09/1M tokens) is 8.9x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 7.1x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Pro accepts 300,000 input tokens compared to GPT OSS 120B's 131,072 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT OSS 120B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Nova Pro supports multimodal inputs, whereas GPT OSS 120B does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B
Nova Pro
License
Usage and distribution terms
GPT OSS 120B is licensed under Apache 2.0, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GPT OSS 120B was released on 2025-08-05, while Nova Pro was released on 2024-11-20.
GPT OSS 120B is 9 months newer than Nova Pro.
Aug 5, 2025
1.1 years ago
8mo newerNov 20, 2024
1.8 years 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 OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Nova Pro is available from Bedrock.
GPT OSS 120B
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 120B and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B vs Nova Pro.