Ember-1 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 53.2 to 43.6. Muse Spark 1.3 is 3.0x cheaper per token.

Fireworks AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 53.2 to 43.6, ranking #10 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.

On price, Muse Spark 1.3 is roughly 3.0x 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 Ember-1

you want the most recent training data — it shipped Sep 2026

Choose Muse Spark 1.3

overall performance matters — it scores 53.2 and ranks #10 on LLM Stats
your work emphasizes reasoning — it leads those capability indexes
you value its reported benchmark strengths — it wins 2 of 2 exact shared results
cost matters — it's about 3.0x cheaper per token
you process long inputs — it offers a 1,048,576 token context window

At a glance

The differences that matter most.

Better token value: Muse Spark 1.3

Ember-1

Fireworks AI

Muse Spark 1.3

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

Ember-1

Muse Spark 1.3

Tool use

15.9#93 · 2 evals

29.9#8 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 11 for Muse Spark 1.3

2 shared

Ember-1 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.

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

Muse Spark 1.3 costs less

For input processing, Ember-1 ($3.00/1M tokens) is 2.4x more expensive than Muse Spark 1.3 ($1.25/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 3.5x more expensive than Muse Spark 1.3 ($4.25/1M tokens).

In conclusion, Ember-1 is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers

Wed Oct 07 2026 • llm-stats.com

Ember-1

Input tokens$3.00

Output tokens$15.00

Best providerFireworks

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 Ember-1's 1,040,000 tokens. Only Muse Spark 1.3 specifies output context (943,718 tokens).

Ember-1

Input1,040,000 tokens

Output- tokens

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

Muse Spark 1.3 supports multimodal inputs, whereas Ember-1 does not.

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

Ember-1

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.

Ember-1

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Muse Spark 1.3 was released on 2026-09-02.

Ember-1 is 1 month newer than Muse Spark 1.3.

Ember-1

Sep 23, 2026

2 weeks ago

3w 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

Ember-1 is available from Fireworks. Muse Spark 1.3 is available from Meta Model API.

Ember-1

Fireworks

Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Muse Spark 1.3

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Ember-1

✓ Preferred

Muse Spark 1.3

Open in Playground

FAQ

Common questions about Ember-1 vs Muse Spark 1.3.

Which is better, Ember-1 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 53.2 to 43.6. Ember-1 is made by Fireworks 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 Ember-1 compare to Muse Spark 1.3 in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. 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 Ember-1 cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 2.4x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Ember-1 and Muse Spark 1.3?

Ember-1 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 Ember-1 and Muse Spark 1.3?

Key differences include LLM Stats Score (43.6 vs 53.2), context window (1.0M vs 1.0M), input pricing ($3.00 vs $1.25/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Muse Spark 1.3?

Ember-1 is developed by Fireworks AI and Muse Spark 1.3 is developed by Meta.

Ember-1 vs Muse Spark 1.3