GPT OSS 120B High vs Mistral Medium 3.5
GPT OSS 120B High and Mistral Medium 3.5 are closely matched at 25.4 and 26.9 on the LLM Stats Score. GPT OSS 120B High is 15.0x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT OSS 120B High and Mistral Medium 3.5 are closely matched on the overall LLM Stats Score at 25.4 and 26.9.
In the 2 individual benchmarks reported for both models, GPT OSS 120B High wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B High is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Medium 3.5 also accepts a larger context window (256,000 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 High
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 15.0x cheaper per token
Choose Mistral Medium 3.5
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Apr 2026
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 · 11 for Mistral Medium 3.5
GPT OSS 120B High outperforms in 2 benchmarks (AIME 2025, IFBench), while Mistral Medium 3.5 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 15.0x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).
For output processing, GPT OSS 120B High ($0.50/1M tokens) is 15.0x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than GPT OSS 120B High.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Medium 3.5 has 11.2B more parameters than GPT OSS 120B High, making it 9.6% larger.
Context Window
Maximum input and output token capacity
Mistral Medium 3.5 accepts 256,000 input tokens compared to GPT OSS 120B High's 131,072 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while GPT OSS 120B High is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Medium 3.5 supports multimodal inputs, whereas GPT OSS 120B High does not.
Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B High
Mistral Medium 3.5
License
Usage and distribution terms
GPT OSS 120B High is licensed under Apache 2.0, while Mistral Medium 3.5 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Modified MIT License
Open weights
Release Timeline
When each model was launched
GPT OSS 120B High was released on 2025-08-05, while Mistral Medium 3.5 was released on 2026-04-29.
Mistral Medium 3.5 is 9 months newer than GPT OSS 120B High.
Aug 5, 2025
1.2 years ago
Apr 29, 2026
5 months ago
8mo 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. Mistral Medium 3.5 is available from Mistral AI.
GPT OSS 120B High
Mistral Medium 3.5
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 120B High and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B High vs Mistral Medium 3.5.