specs at a glance
| Leaderboard rank | #7 of 13 |
|---|---|
| SWE-bench Verified | 82.0% |
| SWE-bench Pro | — |
| Terminal-Bench | — |
| Input price / 1M | $1.25 |
| Output price / 1M | $4.25 |
| Context window | 1M |
| Open weights | No |
| Access | Meta Model API (US public preview, waitlist); Thinking mode on meta.ai |
| Maker | Meta |
how good is Muse Spark 1.1 at coding?
Muse Spark 1.1 sits at #7 of 13 ranked models, posting 82.0% on SWE-bench Verified — 14.2 points behind #1 GPT-5.6 Sol.
Score provenance: Independent (vals.ai, Jul 14 2026, mini-swe-agent bash-only harness): SWE-bench Verified 82.0% ±1.72. Verified Jul 17, 2026; Meta published no SWE-bench number of its own and still has not. Do not confuse this with the earlier Muse Spark, which vals.ai scores 74.4% — 1.1 is a 7.6-point improvement over its predecessor. Price-per-solved-task ~$1.52, the lowest of any model in the top ten. Weakness is long tasks: 52% on the 1-4 hour tier against 74% for Claude Opus 4.8. Launched Jul 9 2026 by Meta Superintelligence Labs; $1.25/$4.25 per 1M with $20 starter credits.
what does Muse Spark 1.1 cost?
$1.25 per 1M input tokens and $4.25 per 1M output — #4 cheapest of the 13 models we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.
where can you use it?
Available via Meta Model API (US public preview, waitlist); Thinking mode on meta.ai. As a proprietary model, you're on the maker's infrastructure and release schedule.
Full storyMeta's Muse Spark 1.1 Chases Anthropic and OpenAI
Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-07-17.