Muse Spark Open 816B A42B vs GLM 5.3

Muse Spark Open 816B A42B and GLM 5.3 match in llmrun Score, with values of 128.7 versus 130.2; neither fits 24 GB.

Model A · Meta

Muse Spark Open 816B A42B

128.7llmrun Score

822.0B · 42B active · Other · Sep 2026

Vision

Model B · Z.ai

GLM 5.3

130.2llmrun Score

753.3B · 41.8B active · 1M context · Other · Aug 2026

ChatFunctions

Which should you choose?

Choose Muse Spark Open 816B A42B if you want…

Ahead on the benchmarks
4 of 6 shared boards
Also does vision
GLM 5.3 doesn't list it

Choose GLM 5.3 if you want…

Lighter on memory
456.2 vs 542.5 GB at Q4_K_M
Also does chat, function-calling
Muse Spark Open 816B A42B doesn't list it

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

MemoryMuse Spark Open 816B A42BGLM 5.3

8 GB

RTX 4060 · 8 GB tier

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Muse Spark Open 816B A42B

Doesn't fit

smallest quant needs 258.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).

llmrun Score

with its 90% range · bars share one scale

Muse Spark Open 816B A42B GLM 5.3

Overall

Muse Spark Open 816B A42B

128.7125–132

GLM 5.3

130.2128–132

Coding

Muse Spark Open 816B A42B

no data

GLM 5.3

130.5124–137

Agents

Muse Spark Open 816B A42B

no data

GLM 5.3

137.7133–142

Math

Muse Spark Open 816B A42B

128.4125–132

GLM 5.3

128.6126–131

Science

Muse Spark Open 816B A42B

no data

GLM 5.3

130.8119–143

Reasoning

Muse Spark Open 816B A42B

no data

GLM 5.3

125.6119–132

Muse Spark Open 816B A42B · #7 of 94 open models · #5 of 90 that fit ≤640 GB

GLM 5.3 · #4 of 94 open models · #3 of 90 that fit ≤512 GB

Benchmarks

6 shared boards: Muse Spark Open 816B A42B leads 4, GLM 5.3 leads 2 · Benchmarks imported Oct 2026

BoardMuse Spark Open 816B A42BGLM 5.3

GPQA Diamond

Muse Spark Open 816B A42B

88.6%#12/98 open

IndependentEpoch AI · Oct 2026

GLM 5.3

90.9%#7/98 open

IndependentEpoch AI · Aug 2026

AIME 2024/2025

Muse Spark Open 816B A42B

98.1%#3/86 open

IndependentEpoch AI · Oct 2026

GLM 5.3

91.1%#13/86 open

IndependentEpoch AI · Aug 2026

FrontierMath

Muse Spark Open 816B A42B

69.8%#2/17 open

IndependentEpoch AI · Oct 2026

GLM 5.3

68.8%#3/17 open

IndependentEpoch AI · Aug 2026

LMArena WebDev

Muse Spark Open 816B A42B

1511.3#13/52 open

ArenaLMArena · Oct 2026

GLM 5.3

1621.1#6/52 open

ArenaLMArena · Oct 2026

SimpleQA

Muse Spark Open 816B A42B

56.6%#1/17 open

IndependentEpoch AI · Oct 2026

GLM 5.3

41.0%#6/17 open

IndependentEpoch AI · Aug 2026

FrontierMath Tier 4

Muse Spark Open 816B A42B

31.7%#2/13 open

IndependentEpoch AI · Oct 2026

GLM 5.3

29.3%#4/13 open

IndependentEpoch AI · Aug 2026

19 more boards (other shared and single-model boards)

Only GLM 5.3 (19)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

QuantMuse Spark Open 816B A42BGLM 5.3

Q2_K

Muse Spark Open 816B A42B

384 GB304.1 GB file

32K 404 GB · 128K 469 GB

GLM 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_M

Muse Spark Open 816B A42B

441 GB~400.7 GB file

32K 461 GB · 128K 525 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_0

Muse Spark Open 816B A42B

452 GB466.3 GB file

32K 472 GB · 128K 537 GB

GLM 5.3

not listed

Q4_K_M

Muse Spark Open 816B A42B

543 GB~493.2 GB file

32K 563 GB · 128K 627 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

Muse Spark Open 816B A42B

644 GB~585.7 GB file

32K 664 GB · 128K 729 GB

GLM 5.3

541 GB~536.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

Muse Spark Open 816B A42B

746 GB~678.2 GB file

32K 766 GB · 128K 831 GB

GLM 5.3

626 GB~621.5 GB file

32K 625 GB · 128K 634 GB

Q8_0

Muse Spark Open 816B A42B

904 GB871.6 GB file

32K 924 GB · 128K 989 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

7 more quants

IQ2_XXS

Muse Spark Open 816B A42B

249 GB225.6 GB file

32K 269 GB · 128K 333 GB

GLM 5.3

not listed

IQ2_S

Muse Spark Open 816B A42B

283 GB275.5 GB file

32K 303 GB · 128K 367 GB

GLM 5.3

not listed

IQ2_M

Muse Spark Open 816B A42B

not listed

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

Muse Spark Open 816B A42B

350 GB340.4 GB file

32K 371 GB · 128K 435 GB

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ4_XS

Muse Spark Open 816B A42B

not listed

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

Q4_K_S

Muse Spark Open 816B A42B

509 GB470.1 GB file

32K 529 GB · 128K 593 GB

GLM 5.3

not listed

BF16

Muse Spark Open 816B A42B

1808 GB1640.3 GB file

32K 1829 GB · 128K 1893 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

Muse Spark Open 816B A42B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Muse-Spark-Open-816B-A42B-GGUF

All ways to run Muse Spark Open 816B A42B →

GLM 5.3

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-5.3-GGUF

All ways to run GLM 5.3 →

Specifications

Specifications of Muse Spark Open 816B A42B and GLM 5.3
Spec	Muse Spark Open 816B A42B	GLM 5.3
Publisher	Meta	Z.ai
Parameters	822.0B	753.3B
Active parameters	42B per token	42B per token
Architecture	—	GlmMoeDsaForCausalLM
Context	—	1M tokens
Modalities	Vision	Chat, Function-calling
License	Other	Other
Released	Sep 2026	Aug 2026

Frequently Asked Questions

Which is better, Muse Spark Open 816B A42B or GLM 5.3?

Muse Spark Open 816B A42B and GLM 5.3 match in llmrun Score, with values of 128.7 versus 130.2; neither fits 24 GB. Choose Muse Spark Open 816B A42B for ahead on the benchmarks and also does vision; choose GLM 5.3 for lighter on memory and also does chat, function-calling.

Which needs less VRAM, Muse Spark Open 816B A42B or GLM 5.3?

At Q4_K_M, Muse Spark Open 816B A42B requires 542.5 GB while GLM 5.3 needs 456.2 GB, making GLM 5.3 the easier model to run on your local setup.

Can I run Muse Spark Open 816B A42B or GLM 5.3 on a 16 GB GPU?

Muse Spark Open 816B A42B does not fit (smallest quant needs 258.1 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).