The AI arena is free today

Open Superagent

Kimi K2 Instruct vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 22.0. Muse Spark 1.3 is 4.0x cheaper per token.

Moonshot AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 22.0, ranking #5 overall.

On price, Muse Spark 1.3 is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2 Instruct

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 4.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Kimi K2 Instruct
Moonshot AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
22.0
#171
55.3
#5
Reasoning
22.1
#163
52.8
#7
Coding
12.6
#138
41.7
#10
Agents
-0.9
#164
40.4
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
$0.10 / M
Output price
$0.50 / M
$0.20 / M
Context window
200,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2 Instruct
Muse Spark 1.3
Tool use
7.4#136
35.5#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for Kimi K2 Instruct · 11 for Muse Spark 1.3

No common benchmarks found

Kimi K2 Instruct and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.3 costs less

For input processing, Kimi K2 Instruct ($0.50/1M tokens) is 5.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 2.5x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than Muse Spark 1.3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Kimi K2 Instruct is limited to 200,000 tokens.

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Kimi K2 Instruct does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 Instruct

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Instruct is licensed under MIT, while Muse Spark 1.3 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi K2 Instruct

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 14 months newer than Kimi K2 Instruct.

Kimi K2 Instruct

Jul 11, 2025

1.1 years ago

Muse Spark 1.3

Sep 2, 2026

1 days ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Kimi K2 Instruct is available from Fireworks, Novita. Muse Spark 1.3 is available from Meta Model API.

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2 Instruct and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Kimi K2 Instruct
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Kimi K2 Instruct vs Muse Spark 1.3.

Which is better, Kimi K2 Instruct or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 22.0. Kimi K2 Instruct is made by Moonshot AI and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2 Instruct compare to Muse Spark 1.3 in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is Kimi K2 Instruct cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 5.0x cheaper for input tokens. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Kimi K2 Instruct and Muse Spark 1.3?

Kimi K2 Instruct supports 200K tokens and Muse Spark 1.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 Instruct and Muse Spark 1.3?

Key differences include LLM Stats Score (22.0 vs 55.3), context window (200K vs 1.0M), input pricing ($0.50 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Instruct and Muse Spark 1.3?

Kimi K2 Instruct is developed by Moonshot AI and Muse Spark 1.3 is developed by Meta.

Related comparisons