Muse Spark 1.3
Meta open-weights release; hosted pricing is shown while self-hosting is free. Some spec fields are estimated from the 1.1 generation pending the full model card.
01
Snapshot
Overall
64
rank #22 of 26
Coding
88
rank #5 of 26
Multimodal
76
rank #17 of 26
Input / Output
$1.25 / $4.25
USD per 1M tokens
Context
256K
usable recall 85
Speed
~70 tok/s
TTFT 0.4s
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 | 2026.09 |
| Licensing | Open weights |
| Context window | 256K |
| Max output | 64K |
| Effective-context score | 85 |
| Input / output price | $1.25 / $4.25 per 1M tokens |
| Cache discount | No published cache discount |
| Free tier | Open weights free to self-host; hosted API at $1.25/$4.25 per 1M |
| Speed / TTFT | ~70 tok/s / 0.4s |
| Function calling | 72 |
| Refusal rate | ~4% |
| English / Chinese | 84 / 62 |
| Modalities | text, image |
| Fine-tuning | Yes |
| Private deployment | Yes (enterprise) |
| SOC2 / no-train | no / yes |
03
Strengths & watch-outs
Strengths
- #1 DeepSWE long-horizon coding
- Open weights, self-hostable
- Extremely low cost
- Fast
Watch-outs
- Mid general capability
- Average multimodal
- Self-host needs strong GPUs
- No SLA on weights
04
Where it ranks among 26 models
Overall 64/100 (#22), coding 88 (#5), multimodal 76 (#17). See the full boards and side-by-side compare on the leaderboard.
05
Pricing in practice
Illustrative monthly bill for 100M input + 30M output tokens: $252 at list. Your mix and cache-hit ratio change this.
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 1.3 cost?
List API pricing is $1.25 input and $4.25 output per 1M tokens. No published cache discount. Open weights free to self-host; hosted API at $1.25/$4.25 per 1M
What is Muse Spark 1.3's context window, and is it usable end to end?
It advertises a 256K window with 64K max output; its effective-context score is 85/100, which is the better predictor of whether long-document details are actually retained.
Is Muse Spark 1.3 good for coding?
Its coding aggregate is 88/100, rank #5 of 26. That puts it in the top tier for agentic, multi-file engineering.
Can I self-host Muse Spark 1.3?
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 62 versus English 84; multimodal aggregate is 76/100 (rank #17), accepting text, image.