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Codestral-22B vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 0.2.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 0.2, ranking #5 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
0.2
#313
55.4
#5
Reasoning
0.1
#306
53.0
#6
Coding
2.5
#217
41.6
#9
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

7 reported for Codestral-22B · 11 for Muse Spark 1.3

No common benchmarks found

Codestral-22B 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

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Codestral-22B does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, 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.

Codestral-22B

MNPL-0.1

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 28 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Muse Spark 1.3

Sep 2, 2026

0 days ago

2.3yr 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Codestral-22B vs Muse Spark 1.3.

Which is better, Codestral-22B or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 0.2. Codestral-22B 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 Codestral-22B compare to Muse Spark 1.3 in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. 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%.

What are the context window sizes for Codestral-22B and Muse Spark 1.3?

Codestral-22B supports an unknown number of 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 Codestral-22B and Muse Spark 1.3?

Key differences include LLM Stats Score (0.2 vs 55.4), multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Muse Spark 1.3?

Codestral-22B is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

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