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Mistral Small vs Muse Spark 1.3

Comparing Mistral Small and Muse Spark 1.3 across benchmarks, pricing, and capabilities.

Mistral AI · Meta · Updated for 2026

Which is better?

Mistral Small and Muse Spark 1.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Muse Spark 1.3 is roughly 2.4x 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 Small

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

Choose Muse Spark 1.3

  • cost matters — it's about 2.4x 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 Sep 2026

At a glance

The differences that matter most.

Mistral Small
Mistral AI
Muse Spark 1.3
Meta
Benchmark wins
—
—
Input price
$0.20 / M
$0.10 / M
Output price
$0.60 / M
$0.20 / M
Context window
32,768
1,048,576

Individual benchmarks

0 reported for Mistral Small · 11 for Muse Spark 1.3

No common benchmarks found

Mistral Small 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 Small ($0.20/1M tokens) is 2.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Mistral Small ($0.60/1M tokens) is 3.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

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

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

Lowest available price from all providers
Thu Sep 03 2026 • llm-stats.com
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
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 Small's 32,768 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Mistral Small is limited to 32,768 tokens.

Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 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 Mistral Small does not.

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

Mistral Small

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, 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 Small

Mistral Research License

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 24 months newer than Mistral Small.

Mistral Small

Sep 17, 2024

2.0 years ago

Muse Spark 1.3

Sep 2, 2026

0 days ago

2.0yr 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 Small is available from Mistral AI. Muse Spark 1.3 is available from Meta Model API.

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

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 Small and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Mistral Small
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Mistral Small vs Muse Spark 1.3.

Which is better, Mistral Small or Muse Spark 1.3?

Mistral Small (Mistral AI) and Muse Spark 1.3 (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 Small compare to Muse Spark 1.3 in benchmarks?

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 Small cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 2.0x cheaper for input tokens. Mistral Small costs $0.20/M input and $0.60/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 Small and Muse Spark 1.3?

Mistral Small supports 33K 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 Small and Muse Spark 1.3?

Key differences include context window (33K vs 1.0M), input pricing ($0.20 vs $0.10/M), multimodal support (no vs yes), licensing (Mistral Research License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small and Muse Spark 1.3?

Mistral Small is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

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