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Mistral Large 4 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 53.2 to 46.4. Mistral Large 4 is 1.9x cheaper per token.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 53.2 to 46.4, ranking #10 overall.

In the 3 individual benchmarks reported for both models, Muse Spark 1.3 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Large 4 is roughly 1.9x 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 4

  • cost matters — it's about 1.9x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

Choose Muse Spark 1.3

  • overall performance matters — it scores 53.2 and ranks #10 on LLM Stats
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
46.4
#33
53.2
#10
Reasoning
44.0
#42
50.8
#12
Coding
36.5
#24
41.3
#10
Agents
34.7
#25
38.8
#10
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.68 / M
$1.25 / M
Output price
$2.09 / M
$4.25 / M
Context window
1,000,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 4
Muse Spark 1.3
Tool use
27.2#25
29.9#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Mistral Large 4 · 11 for Muse Spark 1.3

3 shared

Mistral Large 4 outperforms in 1 benchmarks (AutomationBench), while Muse Spark 1.3 is better at 1 benchmark (DeepSWE 1.1).

Both models are evenly matched across the benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Large 4 costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 1.8x cheaper than Muse Spark 1.3 ($1.25/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 2.0x cheaper than Muse Spark 1.3 ($4.25/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than Mistral Large 4.*

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

Lowest available price from all providers
Wed Oct 07 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Meta
Muse Spark 1.3
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Muse Spark 1.3 specifies output context (943,718 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Muse Spark 1.3 support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Mistral Large 4

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Muse Spark 1.3 was released on 2026-09-02.

Mistral Large 4 is 1 month newer than Muse Spark 1.3.

Mistral Large 4

Oct 6, 2026

1 days ago

1mo newer
Muse Spark 1.3

Sep 2, 2026

1 months ago

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 4 is available from Mistral AI. Muse Spark 1.3 is available from Meta Model API.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Muse Spark 1.3

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?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Muse Spark 1.3.

Which is better, Mistral Large 4 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 53.2 to 46.4. Mistral Large 4 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 4 compare to Muse Spark 1.3 in benchmarks?

Mistral Large 4 scores CyBench: 93.0%, SciCode: 91.8%, CyberGym: 82.0%, Finch (FinWorkBench): 67.4%, ChartQAPro: 63.1%. 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 4 cheaper than Muse Spark 1.3?

Mistral Large 4 is 1.8x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Mistral Large 4 and Muse Spark 1.3?

Mistral Large 4 supports 1.0M 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 4 and Muse Spark 1.3?

Key differences include LLM Stats Score (46.4 vs 53.2), context window (1.0M vs 1.0M), input pricing ($0.68 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Muse Spark 1.3?

Mistral Large 4 is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

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