GPT OSS 20B vs Mistral Small 4
GPT OSS 20B and Mistral Small 4 are closely matched at 17.4 and 19.5 on the LLM Stats Score. GPT OSS 20B is 3.0x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT OSS 20B and Mistral Small 4 are closely matched on the overall LLM Stats Score at 17.4 and 19.5.
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 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Small 4 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 20B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.0x cheaper per token
Choose Mistral Small 4
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Mar 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 20B · 9 for Mistral Small 4
GPT OSS 20B outperforms in 1 benchmarks (GPQA), while Mistral Small 4 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 ($0.05/1M tokens) is 3.0x cheaper than Mistral Small 4 ($0.15/1M tokens).
For output processing, GPT OSS 20B ($0.20/1M tokens) is 3.0x cheaper than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Mistral Small 4 is more expensive than GPT OSS 20B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Small 4 has 98.1B more parameters than GPT OSS 20B, making it 469.4% larger.
Context Window
Maximum input and output token capacity
Mistral Small 4 accepts 256,000 input tokens compared to GPT OSS 20B's 131,072 tokens. Mistral Small 4 can generate longer responses up to 256,000 tokens, while GPT OSS 20B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Small 4 supports multimodal inputs, whereas GPT OSS 20B does not.
Mistral Small 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 20B
Mistral Small 4
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 Mistral Small 4 was released on 2026-03-16.
Mistral Small 4 is 7 months newer than GPT OSS 20B.
Aug 5, 2025
1.1 years ago
Mar 16, 2026
5 months ago
7mo 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 Novita, Fireworks, Groq, OpenAI. Mistral Small 4 is available from Mistral AI.
GPT OSS 20B
Mistral Small 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 20B and Mistral Small 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 20B vs Mistral Small 4.