Mistral NeMo Instruct vs Pixtral-12B
Mistral NeMo Instruct and Pixtral-12B are closely matched at -5.2 and -2.1 on the LLM Stats Score. Mistral NeMo Instruct is 6.9x cheaper per token.
Mistral AI · Mistral AI · Updated for 2026
Which is better?
Mistral NeMo Instruct and Pixtral-12B are closely matched on the overall LLM Stats Score at -5.2 and -2.1.
In the 1 individual benchmarks reported for both models, Pixtral-12B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 6.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral NeMo Instruct also accepts a larger context window (131,072 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 Mistral NeMo Instruct
- cost matters — it's about 6.9x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose Pixtral-12B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Mistral NeMo Instruct · 12 for Pixtral-12B
Mistral NeMo Instruct outperforms in 0 benchmarks, while Pixtral-12B is better at 1 benchmark (MMLU).
Pixtral-12B 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, Mistral NeMo Instruct ($0.02/1M tokens) is 7.9x cheaper than Pixtral-12B ($0.15/1M tokens).
For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 5.0x cheaper than Pixtral-12B ($0.15/1M tokens).
In conclusion, Pixtral-12B is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Pixtral-12B has 0.4B more parameters than Mistral NeMo Instruct, making it 3.3% larger.
Context Window
Maximum input and output token capacity
Mistral NeMo Instruct accepts 131,072 input tokens compared to Pixtral-12B's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Pixtral-12B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Pixtral-12B supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral NeMo Instruct
Pixtral-12B
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
Mistral NeMo Instruct was released on 2024-07-18, while Pixtral-12B was released on 2024-09-17.
Pixtral-12B is 2 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.3 years ago
Sep 17, 2024
2.1 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI. Pixtral-12B is available from Mistral AI.
Mistral NeMo Instruct
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs Pixtral-12B.