Muse Spark 1.3
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
Muse Spark 1.3 API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-09-02 |
|---|---|
| Modalities | text, image, video |
| Context window | 1,000,000 tokens |
Available in Muse Code and Meta Model API, including max reasoning.
Publisher-reported capabilities
- Improves long-horizon coding, tool use, and collaborative agent workflows.
- Meta reports fewer tool calls and tokens than Muse Spark 1.2 in its internal coding comparisons.
Limitations and availability caveats
- Model weights are not publicly available.
Official release and model references
Measured Coverage and Estimates
Muse Spark 1.3 has 22 of 39 tracked IQ benchmark inputs across 7 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete. Configured predecessor references: Muse Spark 1.2, Muse Spark 1.1. A reference is an estimation input, not evidence that this model has the predecessor's measured results.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Programmatic Reasoning (IQ 138) and Mathematical Reasoning (IQ 134). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 103 | 2/5 |
| Mathematical Reasoning | 134 | 4/5 |
| Academic Reasoning | 133 | 4/6 |
| Programmatic Reasoning | 138 | 3/6 |
| Computer Use | 130 | 2/5 |
| Reliability | 127 | 2/6 |
| Knowledge Work | 130 | 5/6 |
Benchmark Results
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Frequently Asked Questions
- What is the IQ of Muse Spark 1.3?
- Muse Spark 1.3 has an estimated IQ of 128, which ranks #18 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- How much does Muse Spark 1.3 cost?
- Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $8.25 per million input-plus-output tokens.
- Is Muse Spark 1.3 open source?
- No — Muse Spark 1.3 is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
- When was Muse Spark 1.3 released?
- Muse Spark 1.3 was publicly released on September 2, 2026.
- How large is the context window of Muse Spark 1.3?
- Muse Spark 1.3 supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
- How fast is Muse Spark 1.3?
- In independent measurements, Muse Spark 1.3 generates about 124 tokens per second, with a typical response time of about 61 seconds.