Kimi K3 vs Muse Spark 1.1: Specs & Benchmark Comparison
Kimi K3 is developed by Moonshot AI, while Muse Spark 1.1 comes from Meta. Both were released in July 2026. Kimi K3 has a published size of about 2.8 trillion parameters; Meta has not disclosed the parameter count of Muse Spark 1.1.
We have 3 benchmark results for Kimi K3 and 4 benchmark results for Muse Spark 1.1, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
Muse Spark 1.1 is the cheaper API at $1.25 per million input tokens and $4.25 per million output tokens, roughly 2 times cheaper than Kimi K3 at $3 and $15. Both accept a context window of about 1M tokens. Both accept text and images as input.
| Characteristic | Kimi K3 | Muse Spark 1.1 |
|---|---|---|
| Company | Moonshot AI | Meta |
| Release Date | July 16, 2026 | July 9, 2026 |
| Parameters | 2.8T | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 1.0M | 131K |
| Input Price / 1M | $3.00 | $1.25 |
| Output Price / 1M | $15.00 | $4.25 |
| Average Score | 95.7% | 84.3% |
Verdict
Muse Spark 1.1 leads in 1 out of 4 comparison categories.
Both models show comparable average scores: Kimi K3 — 1.0, Muse Spark 1.1 — 0.8.
Muse Spark 1.1 is 3.3x cheaper: input $1.25/1M vs $3.00/1M tokens.
Same context size: 1M tokens.
Both models were released around the same time: 7/16/2026 and 7/9/2026.
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Frequently Asked Questions
Which is better for coding — Kimi K3 or Muse Spark 1.1?
Which model is cheaper — Kimi K3 or Muse Spark 1.1?
Which has a larger context window — Kimi K3 or Muse Spark 1.1?
The Kimi K3 and Muse Spark 1.1 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Kimi K3 or Muse Spark 1.1 page. See also the complete list of AI model comparisons.