Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.
- Context
- 1.0M
- Released
- 2mo ago
- Input / 1M tokens
- $1.25
- Output / 1M tokens
- $4.25
- Cached input / 1M tokens
- $0.15
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| SimpleQA Verified |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- Meta
- Model family
- Muse
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- August 5, 2026
- Model ID
meta/muse-spark-1.2- Openness
- Closed
- License
- —
- Input modalities
- text, image, video, file
- Output modalities
- text
- Modality
- text+image+file+video->text
- Tokenizer
- Other
- Max output tokens
- 944K
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- meta/muse-spark-1.2
- Source family
- muse
- Last updated
- 2026-08-05
- Model context
- 1.0M
- Model output limit
- 131K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| GDPval-AA | 1615 · Elo | Stirrup · xhigh effort · 2 · 2026-09-02 | Source |
| JobBench | 61.6 · mean rubric score | OpenCode · xhigh effort · 2026-09-02 | Source |
| OSWorld | 47.6 · mean partial score | Meta internal evaluation framework · 06.24 · xhigh effort · 2.0 · 2026-09-02 | Source |
| OSWorld | 17.9 · binary completion rate | Meta internal evaluation framework · 06.24 · xhigh effort · 2.0 · 2026-09-02 | Source |
| DeepSearchQA | 85.9 · F1 | Meta browser harness · xhigh effort · 2026-09-02 | Source |
| Agentic IF Index | 46.2 · score | Meta internal · xhigh effort · 2026-09-02 | Source |
| AutomationBench | 38.2 · pass@1 | public v3 task set · xhigh effort · 2026-09-02 | Source |
| MRCR | 66.3 · mean sequence-match ratio | 8-needle, 256K-512K · xhigh effort · 2 · 2026-09-02 | Source |
| MRCR | 55.5 · mean sequence-match ratio | 8-needle, 512K-1M · xhigh effort · 2 · 2026-09-02 | Source |
| DeepSWE | 55 · pass@1 | mini-swe-agent · xhigh effort · 1.1 · 2026-09-02 | Source |
| SWE-Atlas Codebase QnA | 46.2 · pass@1 | mini-swe-agent · xhigh effort · 2026-09-02 | Source |
| Terminal-Bench | 82.9 · pass@1 | Muse Code · xhigh effort · 2.1 · 2026-09-02 | Source |
| DeepSWE | 59.3 · pass@1 | Muse Code · xhigh effort · 1.1 · 2026-08-05 | Source |
| MCP Atlas | 90.3 · pass rate | Scale AI · xhigh effort · 2026-08-05 | Source |
Complete source record (JSON)
{
"id": "meta/muse-spark-1.2",
"name": "Muse Spark 1.2",
"description": "Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.",
"family": "muse",
"last_updated": "2026-08-05",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"video",
"pdf",
"audio"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 131072
},
"benchmarks": [
{
"name": "GDPval-AA",
"score": 1615,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "Elo",
"harness": "Stirrup",
"variant": "xhigh effort",
"version": "2",
"date": "2026-09-02"
},
{
"name": "JobBench",
"score": 61.6,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "mean rubric score",
"harness": "OpenCode",
"variant": "xhigh effort",
"date": "2026-09-02"
},
{
"name": "OSWorld",
"score": 47.6,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "mean partial score",
"harness": "Meta internal evaluation framework",
"variant": "xhigh effort",
"dataset": "06.24",
"version": "2.0",
"date": "2026-09-02"
},
{
"name": "OSWorld",
"score": 17.9,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "binary completion rate",
"harness": "Meta internal evaluation framework",
"variant": "xhigh effort",
"dataset": "06.24",
"version": "2.0",
"date": "2026-09-02"
},
{
"name": "DeepSearchQA",
"score": 85.9,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "F1",
"harness": "Meta browser harness",
"variant": "xhigh effort",
"date": "2026-09-02"
},
{
"name": "Agentic IF Index",
"score": 46.2,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "score",
"variant": "xhigh effort",
"dataset": "Meta internal",
"date": "2026-09-02"
},
{
"name": "AutomationBench",
"score": 38.2,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "pass@1",
"variant": "xhigh effort",
"dataset": "public v3 task set",
"date": "2026-09-02"
},
{
"name": "MRCR",
"score": 66.3,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "mean sequence-match ratio",
"variant": "xhigh effort",
"dataset": "8-needle, 256K-512K",
"version": "2",
"date": "2026-09-02"
},
{
"name": "MRCR",
"score": 55.5,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "mean sequence-match ratio",
"variant": "xhigh effort",
"dataset": "8-needle, 512K-1M",
"version": "2",
"date": "2026-09-02"
},
{
"name": "DeepSWE",
"score": 55,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "pass@1",
"harness": "mini-swe-agent",
"variant": "xhigh effort",
"version": "1.1",
"date": "2026-09-02"
},
{
"name": "SWE-Atlas Codebase QnA",
"score": 46.2,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "pass@1",
"harness": "mini-swe-agent",
"variant": "xhigh effort",
"date": "2026-09-02"
},
{
"name": "Terminal-Bench",
"score": 82.9,
"source": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
"metric": "pass@1",
"harness": "Muse Code",
"variant": "xhigh effort",
"version": "2.1",
"date": "2026-09-02"
},
{
"name": "DeepSWE",
"score": 59.3,
"source": "https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2",
"metric": "pass@1",
"harness": "Muse Code",
"variant": "xhigh effort",
"version": "1.1",
"date": "2026-08-05"
},
{
"name": "MCP Atlas",
"score": 90.3,
"source": "https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2",
"metric": "pass rate",
"harness": "Scale AI",
"variant": "xhigh effort",
"date": "2026-08-05"
}
],
"release_date": "2026-08-05",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| meta | 1.0M | $1.25 | $4.25 | $0.15 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter