Muse Spark 1.1
Meta open-weights model; self-hosted with no official SLA — review the license terms for commercial use.
01
Snapshot
Overall
61
rank #22 of 22
Coding
59
rank #21 of 22
Multimodal
75
rank #15 of 22
Input / Output
Free / Free
USD per 1M tokens
Context
256K
usable recall 80
Speed
Hardware-dependent
TTFT Hardware-dependent
Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.
02
Specs & pricing
Every tracked field. List API prices in USD per 1M tokens; verify current vendor pricing before purchase.
| Vendor | Meta (US) |
| Released / current | 2026.08 |
| Licensing | Open weights |
| Context window | 256K |
| Max output | 64K |
| Effective-context score | 80 |
| Input / output price | Free / Free per 1M tokens |
| Cache discount | No published cache discount |
| Free tier | Fully free (model weights) |
| Speed / TTFT | Hardware-dependent / Hardware-dependent |
| Function calling | 65 |
| Refusal rate | ~4% |
| English / Chinese | 78 / 60 |
| Modalities | text, image |
| Fine-tuning | Yes |
| Private deployment | Yes (enterprise) |
| SOC2 / no-train | no / yes |
03
Strengths & watch-outs
Strengths
- Completely free open weights
- By Meta
- Self-hostable
- Multimodal
Watch-outs
- Weakest performance
- No official API support
- Requires self-deployment
04
Where it ranks among 22 models
Overall 61/100 (#22), coding 59 (#21), multimodal 75 (#15). See the full boards and side-by-side compare on the leaderboard.
05
Pricing in practice
Free open weights. There is no per-token API bill; budget instead for the GPU and operations required to self-host.
Illustrative model using public list rates before any enterprise agreement; cache discount: No published cache discount.
06
Frequently asked questions
How much does Muse Spark 1.1 cost?
List API pricing is Free input and Free output per 1M tokens. No published cache discount. Fully free (model weights)
What is Muse Spark 1.1's context window, and is it usable end to end?
It advertises a 256K window with 64K max output; its effective-context score is 80/100, which is the better predictor of whether long-document details are actually retained.
Is Muse Spark 1.1 good for coding?
Its coding aggregate is 59/100, rank #21 of 22. It is adequate for scripts and assisted completion rather than the most demanding SWE-style work.
Can I self-host Muse Spark 1.1?
Yes — it ships open weights and supports private deployment, so you can run it on your own infrastructure for data control; budget for GPU and operations.
How strong is it in Chinese and on multimodal inputs?
Chinese score is 60 versus English 78; multimodal aggregate is 75/100 (rank #15), accepting text, image.