Meta model product
3 is Meta Superintelligence Labs' proprietary multimodal reasoning model for long-running agentic, multi-agent, and coding workflows.
Updated Sep 8, 2026. Default version: Muse Spark 1.3
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Muse Spark 1.3.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAgentic IF Index (Internal) | Score57.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkAutomationBench | Score49.40% | Rank01 | Participants18 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkDeepSWE 1.1 | Score75.40% | Rank01 | Participants31 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkJob Bench | Score64.90% | Rank01 | Participants8 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR v2 (8-needle) | Score98.50% | Rank01 | Participants24 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR v2 (8-needle, 512K-1M) | Score98.10% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkSWE Atlas - Codebase QnA | Score59.40% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.1 | Score88.80% | Rank03 | Participants35 | Percentile94.12% | EvidenceC | Evaluated |
| BenchmarkGDPval-AA | Score1,754.00 points | Rank04 | Participants9 | Percentile62.50% | EvidenceC | Evaluated |
| BenchmarkOSWorld 2.0 | Score66.90% | Rank04 | Participants11 | Percentile70.00% | EvidenceC | Evaluated |
| BenchmarkDeepSearchQA | Score89.40% | Rank05 | Participants10 | Percentile55.56% | EvidenceC | Evaluated |
| BenchmarkLM Arena Webdev | Score1,622.48 rating | Rank09 | Participants97 | Percentile91.67% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenawebdev | Categorywebdev-html | Rank06 | Rating / score1,655.81 | Votes107 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank09 | Rating / score1,622.48 | Votes1,274 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank09 | Rating / score1,622.48 | Votes1,274 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-react | Rank11 | Rating / score1,626.67 | Votes882 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNanoGPT | Provider model IDmeta/muse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderOpenRouter | Provider model IDmeta/muse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderVercel AI Gateway | Provider model IDmeta/muse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderKilo Gateway | Provider model IDmeta/muse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderMeta | Provider model IDmuse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderLLM Gateway | Provider model IDmeta/muse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderEmpirioLabs AI | Provider model IDmuse-spark-1-3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDmuse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
| ProviderOpenCode Zen | Provider model IDmuse-spark-1.3 | Regionglobal | Input / 1M$1.25 | Output / 1M$4.25 | Context1M | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Muse Spark 1.3. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderMeta Model API | Output Speed8.44 tok/s | Catalog Latency7.91 s | Max Input1M | Max Output943.7K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMuse Spark 1.3 | Released | LLMBoard90.82 | ParametersN/A | Context1M | Max output943.7K | Open weightsNo | LicenseProprietary |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Muse Spark 1.3 and its available data.
2 in long-horizon collaboration, multitasking, instruction following, tool use, failure recovery, and concise coding execution. It supports a 1,048,576-token context window and is available through Muse Code and the Meta Model API.
Data as of 2026-09-08.
Common questions about Muse Spark 1.3.
Muse Spark 1.3's default version was released on Sep 2, 2026.
Muse Spark 1.3's official API price is $1.25 per million input tokens and $4.25 per million output tokens via Meta. The lowest tracked third-party offer starts at $1.25 input and $4.25 output via NanoGPT.
Muse Spark 1.3 was created by Meta.
The default version has a 1M token context window.
No. The default version is not marked as having publicly available weights.
9 provider offerings are linked to the default version.