Kimi K3 vs Muse Spark 1.2
Moonshot AI vs Meta · Prices checked 12 August 2026
There is a 3.1× price gap here. Muse Spark 1.2 blends to $2.15 per million tokens; Kimi K3 to $6.60. A single 100K-input, 10K-output job costs $0.168 on Muse Spark 1.2 against $0.450 on Kimi K3.
Neither has a context advantage; both cap at 1,049,000 tokens. Kimi K3 was released Jul 2026; Muse Spark 1.2 Jul 2026.
Pricing and capacity
| Metric | Kimi K3 | Muse Spark 1.2 | Difference |
|---|---|---|---|
| Input / 1M tokens | $3.00 | $1.25 | 2.4× |
| Output / 1M tokens | $15.00 | $4.25 | 3.5× |
| Blended · 70/30calculated | $6.60 | $2.15 | 3.1× |
| Blended · 50/50calculated | $9.00 | $2.75 | 3.3× |
| Blended · 80/20calculated | $5.40 | $1.85 | 2.9× |
| Blended · 20/80calculated | $12.60 | $3.65 | 3.5× |
| Job cost · 100K + 10Kcalculated | $0.450 | $0.168 | 2.7× |
| Job cost · 1M + 100Kcalculated | $4.50 | $1.68 | 2.7× |
| Context window | 1,049,000 | 1,049,000 | level |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.
What each model is for
Kimi K3
Moonshot AI · Frontier
Moonshot AI's 2.7-trillion-parameter flagship, released in July 2026 as the largest open-weight model published to date and the first Chinese model widely treated as competitive with the top US frontier systems. It runs an always-on reasoning mode Moonshot calls "thinking mode", handles a 1M-token context window, and understands images natively. Two variants shipped: K3 Max for chat and agent work, K3 Swarm Max for large-scale parallel processing.
- Largest open-weight model released to date (2.7T parameters)
- Always-on "thinking mode" reasoning
- 1M-token context
- Native visual understanding
Muse Spark 1.2
Meta · Frontier
Meta Superintelligence Labs' flagship line, and Meta's entry into the agentic coding market via the Meta Model API rather than open weights. Muse Spark plans work, delegates to subagents, writes scripts or drives UIs directly, and debugs from screenshots. It pairs a 1M-token context window with full multimodal input (images, video and PDFs) plus built-in search with citations, structured output and parallel tool calling.
- Agentic execution with subagent delegation
- Coding, with particular strength on frontend and design work
- 1M-token context
- Images, video and PDF input
Frequently asked questions
Which is cheaper, Kimi K3 or Muse Spark 1.2?
There is a 3.1× price gap here. Muse Spark 1.2 blends to $2.15 per million tokens; Kimi K3 to $6.60. A single 100K-input, 10K-output job costs $0.168 on Muse Spark 1.2 against $0.450 on Kimi K3. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which has the larger context window, Kimi K3 or Muse Spark 1.2?
Neither has a context advantage; both cap at 1,049,000 tokens. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Kimi K3 and Muse Spark 1.2 on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.