Mistral NeMo Instruct vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 44.9 to -5.0. Mistral NeMo Instruct is 92.0x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to -5.0, ranking #43 overall.
On price, Mistral NeMo Instruct is roughly 92.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open also accepts a larger context window (1,048,576 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 92.0x cheaper per token
Choose Muse Spark Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Mistral NeMo Instruct · 17 for Muse Spark Open
Mistral NeMo Instruct and Muse Spark Opendon'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 65.8x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 141.7x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 804.0B more parameters than Mistral NeMo Instruct, making it 6700.0% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Mistral NeMo Instruct is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral NeMo Instruct
Muse Spark Open
License
Usage and distribution terms
Mistral NeMo Instruct is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
Mistral NeMo Instruct was released on 2024-07-18, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 27 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.2 years ago
Oct 15, 2026
2 days ago
2.2yr 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. Muse Spark Open is available from Together.
Mistral NeMo Instruct
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs Muse Spark Open.