Kimi K2.6 vs Muse Spark 1.3

Two models head to head

This comparison pits the flagship models of two major developers against each other: Kimi K2.6 and Muse Spark 1.3, one from Moonshot AI, the other from Meta. The first dates from April 20, 2026, the second from September 2, 2026.

All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.

What the benchmarks say

On our capability index, Kimi K2.6 scores 84.4 out of 100 and Muse Spark 1.3 82.7. Kimi K2.6 leads by 1.7 points.

On the 2 benchmarks reported for both, Kimi K2.6 wins 0 times and Muse Spark 1.3 2:

• OTIS Mock AIME (competition mathematics problems): Kimi K2.6 96.1%, Muse Spark 1.3 99.2%
• FrontierMath (very hard research-level mathematics): Kimi K2.6 57.2%, Muse Spark 1.3 74.4%

Budget

Kimi K2.6 costs $0.95 per million input tokens and $4 per million output tokens; Muse Spark 1.3 costs $0.10 and $0.20.

For a typical agent task (read 20,000 tokens, write 2,000), expect $0.027 with Kimi K2.6 versus $0.002 with Muse Spark 1.3. Muse Spark 1.3 is 11.3 times cheaper, a gap that adds up quickly over 1,000 tasks: $24.6 difference.

Run the numbers with your own volumes in the agent cost calculator.

Context and capabilities

Muse Spark 1.3 reads more in one go: 1,048,576 tokens of context (roughly 1,573 pages), versus 262,144 for Kimi K2.6.

Reasoning mode: Kimi K2.6 yes, Muse Spark 1.3 yes. Tool calling: Kimi K2.6 yes, Muse Spark 1.3 yes. Image input: Kimi K2.6 yes, Muse Spark 1.3 yes.

Kimi K2.6 publishes its weights and can run on your servers; Muse Spark 1.3 is a closed model, available only through an API.

In short

Our reading of the data:

• Choose Kimi K2.6 for a higher capability index and open weights (you can host it yourself).
• Choose Muse Spark 1.3 for a lower cost, a larger context window and a more recent release.

This verdict relies on public figures; it does not replace a trial on your own tasks.