GLM-5.3 vs Muse Spark 1.3

At a glance

• Capability index

  • GLM-5.3155.6
  • Muse Spark 1.3156.8

  Muse Spark 1.3 is 1.1 points higher.

• Price per 1M tokens

  • GLM-5.3$2.15
  • Muse Spark 1.3$2.00

  Muse Spark 1.3 is 7% cheaper.

• Context window

  • GLM-5.31M tokens
  • Muse Spark 1.31M tokens

  They take in about the same.

• Released

  • GLM-5.3Aug 14, 2026
  • Muse Spark 1.3Sep 2, 2026

  Muse Spark 1.3 is 19 days newer.

Where each scores higher

On the 20 tests both have taken, each on its own scale. A gap of a point or two can sit within a test’s margin of error.

3 more tests have results for only one of them; the table below lists every result.

Everything side by side

Comparison of GLM-5.3 vs Muse Spark 1.3

Measure	GLM-5.3Z.ai	Muse Spark 1.3Meta AI
Model
Maker	Z.ai	Meta AI
Sold here by	Z.AI	DevPass (LLM Gateway)
API model ID	glm-5.3	muse-spark-1.3
Released	Aug 14, 2026	Sep 2, 2026
Knowledge cutoff	Not reported	Not reported
Weights	Open: downloadable	Closed: hosted access only
Developer’s country	China	United States
Hosts selling it	75including Z.ai directly	11
Test results
Capability index	155.6#27 of 274	156.8 (best of these models)#19 of 274
LiveBench overall	76.1%#32 of 66	81.6% (best of these models)#7 of 66
Arena text	1479#27 of 413	1494 (best of these models)#9 of 413
LiveBench coding	79.0%#26 of 66	81.1% (best of these models)#17 of 66
Arena WebDev	1623#20 of 138	1657 (best of these models)#14 of 138
Arena coding	1521#34 of 408	1539 (best of these models)#11 of 408
LiveBench mathematics	87.9%#43 of 66	96.0% (best of these models)#12 of 66
Mock AIME 2024–2025	91.1%#65 of 297	99.2% (best of these models)#15 of 297
FrontierMath Tiers 1–3	68.8%#25 of 114	74.4% (best of these models)#19 of 114
FrontierMath Tier 4	29.3%#36 of 70	46.3% (best of these models)#25 of 70
Arena math	1494#20 of 396	1509 (best of these models)#9 of 396
SimpleQA Verified	41.0%#44 of 86	Not tested
LiveBench agentic coding	60.9%#15 of 66	64.1% (best of these models)#9 of 66
DeepSWE	69.0%#16 of 69	Not tested
CursorBench	42.6% (best of these models)#20 of 62	41.6%#22 of 62
LiveBench language	79.9%#31 of 66	82.8% (best of these models)#24 of 66
LiveBench instructions	69.3%#33 of 66	78.0% (best of these models)#4 of 66
Arena creative writing	1454#34 of 411	1459 (best of these models)#28 of 411
Arena instruction following	1476#25 of 413	1486 (best of these models)#16 of 413
LiveBench data analysis	70.2%#51 of 66	79.6% (best of these models)#12 of 66
LiveBench reasoning	85.8%#35 of 66	89.7% (best of these models)#15 of 66
GPQA Diamond	90.9%#34 of 319	Not tested
Chess puzzles	21.0%#80 of 227	38.0% (best of these models)#32 of 227
Arena hard prompts	1503#25 of 413	1517 (best of these models)#10 of 413
Price per million tokens
Input	$1.40	$1.25 (best of these models)
Output	$4.40	$4.25 (best of these models)
Blended, 3 input to 1 output	$2.15	$2.00 (best of these models)
Cached input	$0.26	$0.15 (best of these models)
Writing to the cache	Free	Not reported
The maker’s own price	This listing	Not sold directly
Limits
Context window	1M tokens	1M tokens
Max input	1M tokens	1M tokens
Max output	131.1K tokens	131.1K tokens
Features
Reads	text	audio, images, PDFs, text and video
Produces	text	text
Reasoning	Yeseffort low, high, max; can be switched off; thinking budget can be set	Yeseffort minimal, low, medium, high, xhigh
Tool calling	Yes	Yes
Structured output	Yes, such as JSON	Yes, such as JSON
File attachments	No	Yes
Temperature setting	Supported	Supported

Bold marks the better value in each row. Prices are each model’s own list price, or the middle price across hosts when the maker does not sell it, blended as three input tokens for every output token. Test results as published by LiveBench (Apache-2.0), Epoch AI (CC BY 4.0), Datacurve DeepSWE, compiled by Epoch AI (CC BY 4.0), Cursor CursorBench, compiled by Epoch AI (CC BY 4.0), Arena (CC BY 4.0); model details and prices from models.dev (MIT). Confirm pricing with the provider before use.