Model Comparison

Mistral Large 3 vs Muse Spark 1.1Which is better in 2026?

Comparing Mistral Large 3 and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Mistral Large 3 vs Muse Spark 1.1 — which is better?

Mistral Large 3 (by Mistral AI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Muse Spark 1.1 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Mistral Large 3 if…

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1 if…

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 3 and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.1 costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 1.6x more expensive than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 1.2x more expensive than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Muse Spark 1.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 3

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 is licensed under Apache 2.0, while Muse Spark 1.1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 3

Apache 2.0

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 10 months newer than Mistral Large 3.

Mistral Large 3

Sep 1, 2025

10 months ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

10mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Large 3 is available from Mistral AI. Muse Spark 1.1 is available from Meta Model API.

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Has open weights
Meta
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Large 3 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Mistral Large 3
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3
Meta
Muse Spark 1.1

FAQ

Common questions about Mistral Large 3 vs Muse Spark 1.1.

Which is better, Mistral Large 3 or Muse Spark 1.1?

Mistral Large 3 (Mistral AI) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Large 3 compare to Muse Spark 1.1 in benchmarks?

Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is Mistral Large 3 cheaper than Muse Spark 1.1?

Muse Spark 1.1 is 1.6x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Mistral Large 3 and Muse Spark 1.1?

Mistral Large 3 supports 128K tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 3 and Muse Spark 1.1?

Key differences include context window (128K vs 1.0M), input pricing ($2.00 vs $1.25/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 and Muse Spark 1.1?

Mistral Large 3 is developed by Mistral AI and Muse Spark 1.1 is developed by Meta.

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