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Muse Spark 1.2 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 39.7. Muse Spark 1.2 and Muse Spark 1.3 cost the same.

Meta · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 39.7, ranking #5 overall.

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

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

Choose Muse Spark 1.2

  • you want predictable pricing at $0.10/M input and $0.20/M output

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Muse Spark 1.2
Meta
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
39.7
#52
55.3
#5
Reasoning
33.1
#92
52.8
#7
Coding
30.1
#49
41.7
#10
Agents
26.8
#40
40.4
#4
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.10 / M
$0.10 / M
Output price
$0.20 / M
$0.20 / M
Context window
1,048,576
1,048,576

Individual benchmarks

3 reported for Muse Spark 1.2 · 11 for Muse Spark 1.3

2 shared

Muse Spark 1.2 outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1).

Muse Spark 1.3 significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

For input processing, Muse Spark 1.2 ($0.10/1M tokens) costs the same as Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Muse Spark 1.2 ($0.20/1M tokens) costs the same as Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Muse Spark 1.2 and Muse Spark 1.3 cost the same.*

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

Lowest available price from all providers
Sat Sep 05 2026 • llm-stats.com
Meta
Muse Spark 1.2
Input tokens$0.10
Output tokens$0.20
Best providerMeta
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

Both models have the same input context window of 1,048,576 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Muse Spark 1.2 is limited to 131,072 tokens.

Meta
Muse Spark 1.2
Input1,048,576 tokens
Output131,072 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.2 and Muse Spark 1.3 support multimodal inputs.

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

Muse Spark 1.2

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.

Muse Spark 1.2

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.2 was released on 2026-08-05, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 1 month newer than Muse Spark 1.2.

Muse Spark 1.2

Aug 5, 2026

1 months ago

Muse Spark 1.3

Sep 2, 2026

3 days ago

4w 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

Muse Spark 1.2 is available from Meta Model API. Muse Spark 1.3 is available from Meta Model API.

Muse Spark 1.2

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

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 Muse Spark 1.2 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Muse Spark 1.2
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Muse Spark 1.2 vs Muse Spark 1.3.

Which is better, Muse Spark 1.2 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 39.7. Muse Spark 1.2 is made by Meta 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 Muse Spark 1.2 compare to Muse Spark 1.3 in benchmarks?

Muse Spark 1.2 scores Terminal-Bench 2.1: 82.9%, Meta Internal Coding Bench: 70.6%, DeepSWE 1.1: 59.3%. 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 Muse Spark 1.2 cheaper than Muse Spark 1.3?

Both models cost $0.10 per million input tokens.

What are the context window sizes for Muse Spark 1.2 and Muse Spark 1.3?

Muse Spark 1.2 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 Muse Spark 1.2 and Muse Spark 1.3?

Key differences include LLM Stats Score (39.7 vs 55.3). See the full comparison above for benchmark-by-benchmark results.

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