Muse Spark 1.2
Meta · released Aug 5, 2026
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...
Specification
- Context window
- 1.05M
- Max output
- —
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- Yes
- Uptime
- 100.0%
Intelligence
56.8
98th percentile
Coding
72.2
Coding Index
Agentic
—
Agentic Index
Output speed
125 t/s
Median across providers
Latency
4.47s
Time to first token
Cost per task
$0.40
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond90.4%
- AA-LCR (long context)83.3%
- SciCode56.4%
- Humanity's Last Exam45.5%
- τ²-bench (Telecom)34.8%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 90.4% |
| AA-LCR (long context) | 83.3% |
| SciCode | 56.4% |
| Humanity's Last Exam | 45.5% |
| τ²-bench (Telecom) | 34.8% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Qwen3.8 MaxQwen58.1
- Claude Opus 4.8Anthropic57.3
- Muse Spark 1.2Meta56.8
- GPT-5.6 TerraOpenAI56.6
- GPT-5.5OpenAI56.3
- Grok 4.5xAI55.8
- Claude Sonnet 5Anthropic55.3
- Claude Opus 4.7Anthropic55.0
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Qwen3.8 Max | 58.1 |
| Claude Opus 4.8 | 57.3 |
| Muse Spark 1.2 | 56.8 |
| GPT-5.6 Terra | 56.6 |
| GPT-5.5 | 56.3 |
| Grok 4.5 | 55.8 |
| Claude Sonnet 5 | 55.3 |
| Claude Opus 4.7 | 55.0 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $1.25
- Output / 1M tokens
- $4.25
- Cached input / 1M
- $0.15
- Blended 3:1
- $2
One task, estimated
$0.40
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,322
- Win rate
- 55.9%
- Strongest at
- Game development
- Tournaments
- 102
Elo by category
Dot position on a 1,300–1,325 scale · Elo has no meaningful zero
- 1,322
- 1,318
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| Game development | 1322 | 55.9% |
| Websites | 1318 | 55.7% |