Kimi K3 vs Muse Spark Open
Kimi K3 leads the LLM Stats Score 51.8 to 44.9. Muse Spark Open is 2.9x cheaper per token.
Moonshot AI · Meta · Updated for 2026
Which is better?
Kimi K3 leads the overall LLM Stats Score 51.8 to 44.9, ranking #14 overall.
In the 8 individual benchmarks reported for both models, Kimi K3 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark Open is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K3
- overall performance matters — it scores 51.8 and ranks #14 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 8 exact shared results
Choose Muse Spark Open
- cost matters — it's about 2.9x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Kimi K3 · 17 for Muse Spark Open
Kimi K3 outperforms in 5 benchmarks (BabyVision, DeepSWE 1.1, GPQA, Terminal-Bench 2.1, WorldVQA), while Muse Spark Open is better at 3 benchmarks (Job Bench, MCP Atlas, ZEROBench).
Kimi K3 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3 ($2.85/1M tokens) is 2.3x more expensive than Muse Spark Open ($1.25/1M tokens).
For output processing, Kimi K3 ($14.25/1M tokens) is 3.4x more expensive than Muse Spark Open ($4.25/1M tokens).
In conclusion, Kimi K3 is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 1984.0B more parameters than Muse Spark Open, making it 243.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.
Input capabilities
Documented input modalities across available providers
Both Kimi K3 and Muse Spark Open support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
Muse Spark Open
License
Usage and distribution terms
Kimi K3 is licensed under Kimi K3 License, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Kimi K3 License
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 3 months newer than Kimi K3.
Jul 16, 2026
3 months ago
Oct 15, 2026
2 days ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K3 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Muse Spark Open is available from Together.
Kimi K3
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3 vs Muse Spark Open.