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Mistral Large 3 2512 vs Muse Spark 1.1

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Large 3 2512 and Muse Spark 1.1.

Mistral

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

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Meta

Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...

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Technical Specifications

SpecificationMistral Large 3 2512Muse Spark 1.1
ProviderMistralMeta
Context Window262,144 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-12-012026-07-16

API Pricing Comparison

Input Price per Million Tokens

Mistral Large 3 2512

$0.50

Muse Spark 1.1

$1.25

Output Price per Million Tokens

Mistral Large 3 2512

$1.50

Muse Spark 1.1

$4.25

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Mistral Large 3 2512 Quirks & Gotchas

No developer gotchas reported.

Muse Spark 1.1 Quirks & Gotchas

No developer gotchas reported.