AI model comparison

Muse Spark 1.3 Contributor vs Mistral Nemo

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows.

Input / 1M
$0.10
Output / 1M
$0.20
Context
1.05M

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.

Input / 1M
$0.03
Output / 1M
$0.03
Context
131K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

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Mistral Nemo

4.1x cheaper for a typical chat

Higher intelligence score

Tie

Not enough benchmark data

Larger context window

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Muse Spark 1.3 Contributor

1.05M vs 131K tokens

Newer release

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Muse Spark 1.3 Contributor

Released September 2, 2026

Pricing

Muse Spark 1.3 Contributor vs Mistral Nemo API pricing

Per-token API rates. Cheaper option highlighted.

Metricmeta logoMuse Spark 1.3 Contributormistralai logoMistral Nemo
Input tokensPer 1M tokens$0.10$0.03
Output tokensPer 1M tokens$0.20$0.03
Cached input (read)Per 1M tokens$0.00Not available
Cache writePer 1M tokensNot availableNot available
Web searchPer request$0.0025Not available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

meta logoMuse Spark 1.3 Contributor$0.30
mistralai logoMistral Nemo$0.07

Coding task

30K in, 4K out

meta logoMuse Spark 1.3 Contributor$3.80$0.86 cached
mistralai logoMistral Nemo$0.99

Long document summary

150K in, 2K out

meta logoMuse Spark 1.3 Contributor$15.40$0.70 cached
mistralai logoMistral Nemo$4.41

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricmeta logoMuse Spark 1.3 Contributormistralai logoMistral Nemo
Context window1.05M tokens131K tokens
Max output944K tokens16K tokens
Input typesFile, Image, Text, VideoText
Output typesTextText
Reasoning effort levelsMax, Extra high, High, Medium, Low, MinimalNot available
Default reasoning effortMediumNot available
Release dateSeptember 2, 2026July 19, 2024

Features

Supported features

API features available for each model.

Metricmeta logoMuse Spark 1.3 Contributormistralai logoMistral Nemo
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedNot supported
TemperatureSupportedSupported
Stop sequencesNot supportedSupported
Deterministic seedNot supportedSupported
Verbosity controlNot supportedNot supported

Our take

Mistral Nemo is 4.1x cheaper for a typical chat. Muse Spark 1.3 Contributor has the larger context window (1.05M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Muse Spark 1.3 Contributor or Mistral Nemo cheaper?

Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while Muse Spark 1.3 Contributor costs $0.10 per 1M input tokens and $0.20 per 1M output tokens.

Which has a bigger context window, Muse Spark 1.3 Contributor or Mistral Nemo?

Muse Spark 1.3 Contributor supports up to 1.05M tokens of context, compared with 131K for Mistral Nemo.

Can I use Muse Spark 1.3 Contributor and Mistral Nemo at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Spark 1.3 Contributor and Mistral Nemo answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Muse Spark 1.3 Contributor and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.