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Mistral Large 3 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.4 to 10.4. Muse Spark 1.3 is 22.0x cheaper per token.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.4 to 10.4, ranking #6 overall.

On price, Muse Spark 1.3 is roughly 22.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 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 Large 3

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.4 and ranks #6 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 22.0x 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 Sep 2026

At a glance

The differences that matter most.

Core performance indexes
10.4
#262
54.4
#6
8.4
#271
51.8
#7
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
$0.10 / M
Output price
$5.00 / M
$0.20 / M
Context window
128,000
1,048,576

Individual benchmarks

8 reported for Mistral Large 3 · 11 for Muse Spark 1.3

No common benchmarks found

Mistral Large 3 and Muse Spark 1.3don'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

Muse Spark 1.3 costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 20.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 25.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers
Sat Sep 12 2026 • llm-stats.com
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 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 1.3
Input1,048,576 tokens
Output943,718 tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 and Muse Spark 1.3 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 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 is licensed under Apache 2.0, while Muse Spark 1.3 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 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 12 months newer than Mistral Large 3.

Mistral Large 3

Sep 1, 2025

1.0 years ago

Muse Spark 1.3

Sep 2, 2026

1 weeks ago

1.0yr 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 1.3 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 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Mistral Large 3 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Mistral Large 3
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Mistral Large 3 vs Muse Spark 1.3.

Which is better, Mistral Large 3 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.4 to 10.4. Mistral Large 3 is made by Mistral AI and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 3 compare to Muse Spark 1.3 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 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is Mistral Large 3 cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 20.0x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Mistral Large 3 and Muse Spark 1.3?

Mistral Large 3 supports 128K tokens and Muse Spark 1.3 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 1.3?

Key differences include LLM Stats Score (10.4 vs 54.4), context window (128K vs 1.0M), input pricing ($2.00 vs $0.10/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 1.3?

Mistral Large 3 is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.