GPT OSS 20B vs Ministral 3 (14B Reasoning 2512)
GPT OSS 20B and Ministral 3 (14B Reasoning 2512) are closely matched at 18.0 and 20.6 on the LLM Stats Score. GPT OSS 20B is 3.5x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT OSS 20B and Ministral 3 (14B Reasoning 2512) are closely matched on the overall LLM Stats Score at 18.0 and 20.6.
In the 1 individual benchmarks reported for both models, GPT OSS 20B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 20B is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ministral 3 (14B Reasoning 2512) also accepts a larger context window (262,100 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.5x cheaper per token
Choose Ministral 3 (14B Reasoning 2512)
- you process long inputs — it offers a 262,100 token context window
- you want the most recent training data — it shipped Dec 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 · 4 for Ministral 3 (14B Reasoning 2512)
GPT OSS 20B outperforms in 1 benchmarks (GPQA), while Ministral 3 (14B Reasoning 2512) is better at 0 benchmarks.
GPT OSS 20B 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 6.7x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
For output processing, GPT OSS 20B ($0.14/1M tokens) is 1.4x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than GPT OSS 20B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 20B has 6.9B more parameters than Ministral 3 (14B Reasoning 2512), making it 49.3% larger.
Context Window
Maximum input and output token capacity
Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to GPT OSS 20B's 131,072 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while GPT OSS 20B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas GPT OSS 20B does not.
Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 20B
Ministral 3 (14B Reasoning 2512)
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 Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.
Ministral 3 (14B Reasoning 2512) is 4 months newer than GPT OSS 20B.
Aug 5, 2025
1.2 years ago
Dec 4, 2025
10 months ago
4mo 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. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.
GPT OSS 20B
Ministral 3 (14B Reasoning 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 20B and Ministral 3 (14B Reasoning 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 20B vs Ministral 3 (14B Reasoning 2512).