Meta · Released Aug 5, 2026Muse Spark 1.2
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.
- Capability
- 155.0ECI · #30 of 148
- Input
- $1.25per 1M tokens
- Output
- $4.25per 1M tokens
- Context
- 1.05M131K max output
What it costs
- Input
- $1.25per million tokens
- Output
- $4.25per million tokens
- Cached input
- $0.15per million tokens
- Blended (3:1)
- $2.00pricier than 70% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $4.63 |
| Team assistant25M input + 5M output tokens | $52.50 |
| Production app250M input + 50M output tokens | $525.00 |
Official Meta API price, as listed on models.dev.
Independent benchmarks
#30 of 148 scored models
The shaded band is Epoch AI’s confidence range (152.8–157.5); the tick marks the median scored model.
Scores from Epoch AI, run independently of Meta.
The details
- Lab
- Meta
- Released
- Aug 5, 2026
- Context window
- 1,048,576 tokens
- Max output
- 131,072 tokens
- Inputs
- Text, Images, PDFs, Audio, Video
- Output
- Text
- Reasoning
- Adjustable effort minimal · low · medium · high · xhigh
- Tool calling
- Yes
- Structured output
- Yes
- Weights
- Proprietary
- API model ID
muse-spark-1.2on Meta- Availability
- 15 API providerslisted on models.dev
What Meta claims
Published by the lab at launch. Settings vary, so compare these only with care.
| Benchmark | Score | Setting | Source |
|---|---|---|---|
| GDPval-AA v2 | 1615 Elo | xhigh effort | Source |
| JobBench | 61.6 | xhigh effort | Source |
| OSWorld v2.0 | 47.6 | xhigh effort | Source |
| OSWorld v2.0 | 17.9 binary completion rate | xhigh effort | Source |
| DeepSearchQA | 85.9 F1 | xhigh effort | Source |
| Agentic IF Index | 46.2 | xhigh effort | Source |
| AutomationBench | 38.2 | xhigh effort | Source |
| MRCR v2 | 66.3 mean sequence-match ratio | xhigh effort | Source |
| MRCR v2 | 55.5 mean sequence-match ratio | xhigh effort | Source |
| DeepSWE v1.1 | 55 | xhigh effort | Source |
| SWE-Atlas Codebase QnA | 46.2 | xhigh effort | Source |
| Terminal-Bench v2.1 | 82.9 | xhigh effort | Source |
More from Meta
About Muse Spark 1.2
How much does Muse Spark 1.2 cost?
Muse Spark 1.2 costs $1.25 input / $4.25 output per million tokens (official Meta API price). Cached input is $0.15 per million tokens. At a 3:1 input-to-output mix that is $2.00 per million tokens, more expensive than 70% of the 360 priced models we track.
What is the context window of Muse Spark 1.2?
Muse Spark 1.2 accepts up to 1,048,576 tokens per request and can write up to 131,072 tokens in one response.
How good is Muse Spark 1.2?
Epoch AI gives Muse Spark 1.2 a Capabilities Index score of 155.0 (likely range 152.8–157.5), ranking it #30 of 148 models Epoch has scored. Epoch AI benchmark results: SimpleQA Verified 60.3%.
Is Muse Spark 1.2 open source?
No. Muse Spark 1.2 is proprietary; you use it through Meta’s API or partner platforms.
What inputs does Muse Spark 1.2 support?
Muse Spark 1.2 accepts text, images, PDFs, audio and video and replies in text. It is a reasoning model with minimal, low, medium, high and xhigh effort settings, supports tool calling and can return structured JSON output.
When was Muse Spark 1.2 released?
Meta released Muse Spark 1.2 on Aug 5, 2026.
What are the best alternatives to Muse Spark 1.2?
The closest current models from other labs on capability, price and release date are GLM-5.3 (Z.ai (Zhipu), ECI 155.8, $1.40 / $4.40), Gemini 3.6 Flash (Google, ECI 154.3, $0.75 / $3.75), Qwen3.8 Max 0902 (Alibaba (Qwen), ECI 155.2, $2.00 / $6.00) and Grok 4.5 (xAI, ECI 154.0, $2.00 / $6.00).