Mistral NeMo Instruct vs Mistral Small
Comparing Mistral NeMo Instruct and Mistral Small across benchmarks, pricing, and capabilities.
Mistral AI · Mistral AI · Updated for 2026
Which is better?
Mistral NeMo Instruct and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral NeMo Instruct is roughly 13.8x 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 13.8x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose Mistral Small
- 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 · 0 for Mistral Small
Mistral NeMo Instruct and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 10.5x cheaper than Mistral Small ($0.20/1M tokens).
For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 20.0x cheaper than Mistral Small ($0.60/1M tokens).
In conclusion, Mistral Small is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Small has 10.0B more parameters than Mistral NeMo Instruct, making it 83.3% larger.
Context Window
Maximum input and output token capacity
Mistral NeMo Instruct accepts 131,072 input tokens compared to Mistral Small's 32,768 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Mistral Small is limited to 32,768 tokens.
License
Usage and distribution terms
Mistral NeMo Instruct is licensed under Apache 2.0, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Mistral NeMo Instruct was released on 2024-07-18, while Mistral Small was released on 2024-09-17.
Mistral Small is 2 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.2 years ago
Sep 17, 2024
2.0 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. Mistral Small is available from Mistral AI.
Mistral NeMo Instruct
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs Mistral Small.