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GLM-5.3-Flash vs Muse Spark 1.3

GLM-5.3-Flash and Muse Spark 1.3 are closely matched at 50.9 and 55.4 on the LLM Stats Score. Muse Spark 1.3 is 1.9x cheaper per token.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3-Flash and Muse Spark 1.3 are closely matched on the overall LLM Stats Score at 50.9 and 55.4.

In the 4 individual benchmarks reported for both models, Muse Spark 1.3 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Muse Spark 1.3 is roughly 1.9x 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 GLM-5.3-Flash

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

Choose Muse Spark 1.3

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • cost matters — it's about 1.9x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
50.9
#15
55.4
#5
Reasoning
49.6
#15
53.0
#6
Coding
34.7
#28
41.6
#9
Agents
37.3
#12
40.6
#4
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.15 / M
$0.10 / M
Output price
$0.50 / M
$0.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3-Flash
Muse Spark 1.3
Tool use
32.3#5
35.4#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 11 for Muse Spark 1.3

4 shared

GLM-5.3-Flash outperforms in 1 benchmarks (GDPval-AA), while Muse Spark 1.3 is better at 3 benchmarks (AutomationBench, DeepSWE 1.1, Terminal-Bench 2.1).

Muse Spark 1.3 shows notably better performance in the majority of benchmarks.

Thu Sep 03 2026 • llm-stats.com

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, GLM-5.3-Flash ($0.15/1M tokens) is 1.5x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 2.5x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, GLM-5.3-Flash is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers
Thu Sep 03 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
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

Both models have the same input context window of 1,048,576 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while GLM-5.3-Flash is limited to 131,072 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-Flash and Muse Spark 1.3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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.

GLM-5.3-Flash

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 0 month newer than GLM-5.3-Flash.

GLM-5.3-Flash

Aug 26, 2026

1 weeks ago

Muse Spark 1.3

Sep 2, 2026

0 days ago

1w 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

GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. Muse Spark 1.3 is available from Meta Model API.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

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 GLM-5.3-Flash and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Muse Spark 1.3.

Which is better, GLM-5.3-Flash or Muse Spark 1.3?

GLM-5.3-Flash and Muse Spark 1.3 are closely matched on the LLM Stats Score at 50.9 and 55.4. GLM-5.3-Flash is made by Zhipu 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 GLM-5.3-Flash compare to Muse Spark 1.3 in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. 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 GLM-5.3-Flash cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 1.5x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for GLM-5.3-Flash and Muse Spark 1.3?

GLM-5.3-Flash supports 1.0M 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 GLM-5.3-Flash and Muse Spark 1.3?

Key differences include LLM Stats Score (50.9 vs 55.4), input pricing ($0.15 vs $0.10/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and Muse Spark 1.3?

GLM-5.3-Flash is developed by Zhipu AI and Muse Spark 1.3 is developed by Meta.

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