Muse Spark 1.3 vs Seed 1.8
Muse Spark 1.3 leads the LLM Stats Score 55.1 to 34.2. Muse Spark 1.3 is 5.5x cheaper per token.
Meta · ByteDance · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.1 to 34.2, ranking #4 overall.
On price, Muse Spark 1.3 is roughly 5.5x 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 Muse Spark 1.3
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 5.5x 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
Choose Seed 1.8
- you want predictable pricing at $0.25/M input and $2.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Muse Spark 1.3 · 57 for Seed 1.8
Muse Spark 1.3 and Seed 1.8don'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
For input processing, Muse Spark 1.3 ($0.10/1M tokens) is 2.5x cheaper than Seed 1.8 ($0.25/1M tokens).
For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 10.0x cheaper than Seed 1.8 ($2.00/1M tokens).
In conclusion, Seed 1.8 is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Seed 1.8's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Seed 1.8 is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark 1.3 and Seed 1.8 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.3
Seed 1.8
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark 1.3 was released on 2026-09-02, while Seed 1.8 was released on 2026-02-17.
Muse Spark 1.3 is 7 months newer than Seed 1.8.
Sep 2, 2026
6 days ago
6mo newerFeb 17, 2026
6 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Muse Spark 1.3 is available from Meta Model API. Seed 1.8 is available from DeepInfra.
Muse Spark 1.3
Seed 1.8
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Seed 1.8 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Seed 1.8.