Beam 1.0 501B A23B vs GLM 5.1

Beam 1.0 501B A23B and GLM 5.1 match in llmrun Score, with values of 119.5 versus 117.8; neither fits 24 GB.

Run Beam 1.0 501B A23B in the cloud →

Model A · reflection

Beam 1.0 501B A23B

119.5llmrun Score

501.3B · 23.4B active · 1M context · Apache 2.0 · Oct 2026

ChatReasoningCodeFunctions

Model B · Z.ai

GLM 5.1

117.8llmrun Score

753.9B · 42.4B active · 198K context · MIT · Apr 2026

ChatFunctions

Which should you choose?

Choose Beam 1.0 501B A23B if you want…

Lighter on memory
301.4 vs 456.5 GB at Q4_K_M
Longer context window
1M vs 198K tokens
Also does reasoning, code
GLM 5.1 doesn't list it
Newer release
Oct 2026 vs Apr 2026

GLM 5.1: no clear edge over Beam 1.0 501B A23B in the data we have.

On your hardware

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

MemoryBeam 1.0 501B A23BGLM 5.1

8 GB

RTX 4060 · 8 GB tier

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

12 GB

RTX 3060 12GB · 12 GB tier

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

24 GBreference

RTX 4090 · 24 GB tier

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

32 GB

RTX 5090 · 32 GB tier

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

48 GB

RTX A6000 · 48 GB tier

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 32 GB

Mac Mini M4 · Macs

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Beam 1.0 501B A23B

Doesn't fit

smallest quant needs 141.1 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 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

Beam 1.0 501B A23B GLM 5.1

Overall

Beam 1.0 501B A23B

119.5117–122

GLM 5.1

117.8115–121

Coding

Beam 1.0 501B A23B

no data

GLM 5.1

114.4107–122

Agents

Beam 1.0 501B A23B

118.3111–126

GLM 5.1

122.7116–130

Math

Beam 1.0 501B A23B

no data

GLM 5.1

117.4113–122

Science

Beam 1.0 501B A23B

no data

GLM 5.1

116.7106–128

Reasoning

Beam 1.0 501B A23B

118.8115–122

GLM 5.1

115.5105–126

Beam 1.0 501B A23B · #17 of 106 open models · #14 of 102 that fit ≤512 GB

GLM 5.1 · #20 of 106 open models · #17 of 102 that fit ≤512 GB

Benchmarks

2 shared boards: Beam 1.0 501B A23B leads 1, GLM 5.1 leads 1 · Benchmarks imported Nov 2026

BoardBeam 1.0 501B A23BGLM 5.1

APEX-Agents

Beam 1.0 501B A23B

48.8%#6/20 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.1

40.9%#11/20 open

Lab-reportedEpoch AI · Apr 2026

ProofBench

Beam 1.0 501B A23B

18.0%#16/31 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.1

22.2%#12/31 open

Lab-reportedEpoch AI · Apr 2026

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

LMArena Text

Beam 1.0 501B A23B

1435.7#23/188 open

ArenaLMArena · Oct 2026

GLM 5.1

1465.4#8/188 open

ArenaLMArena · Oct 2026

LMArena WebDev

Beam 1.0 501B A23B

1436.0#25/55 open

ArenaLMArena · Oct 2026

GLM 5.1

1507.9#17/55 open

ArenaLMArena · Oct 2026

Only Beam 1.0 501B A23B (9)

Only GLM 5.1 (13)

VRAM by quantization

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

QuantBeam 1.0 501B A23BGLM 5.1

Q2_K

Beam 1.0 501B A23B

214 GB190.7 GB file

32K 219 GB · 128K 237 GB

GLM 5.1

325 GB265.8 GB file

32K 324 GB · 128K 332 GB

Q3_K_S

Beam 1.0 501B A23B

220 GB225.9 GB file

32K 225 GB · 128K 243 GB

GLM 5.1

334 GB313.5 GB file

32K 333 GB · 128K 342 GB

Q3_K_M

Beam 1.0 501B A23B

245 GB236.6 GB file

32K 250 GB · 128K 268 GB

GLM 5.1

372 GB338.4 GB file

32K 371 GB · 128K 380 GB

Q4_0

Beam 1.0 501B A23B

251 GB284.2 GB file

32K 257 GB · 128K 274 GB

GLM 5.1

381 GB427.6 GB file

32K 380 GB · 128K 389 GB

Q4_K_M

Beam 1.0 501B A23B

301 GB314.5 GB file

32K 307 GB · 128K 324 GB

GLM 5.1

457 GB464.5 GB file

32K 456 GB · 128K 464 GB

Q5_K_M

Beam 1.0 501B A23B

358 GB380.8 GB file

32K 363 GB · 128K 381 GB

GLM 5.1

541 GB558.5 GB file

32K 540 GB · 128K 549 GB

Q6_K

Beam 1.0 501B A23B

414 GB441.8 GB file

32K 420 GB · 128K 437 GB

GLM 5.1

626 GB621.3 GB file

32K 625 GB · 128K 634 GB

Q8_0

Beam 1.0 501B A23B

502 GB532.8 GB file

32K 507 GB · 128K 525 GB

GLM 5.1

758 GB801.3 GB file

32K 757 GB · 128K 766 GB

16 more quants

IQ2_XXS

Beam 1.0 501B A23B

139 GB145.3 GB file

32K 144 GB · 128K 161 GB

GLM 5.1

212 GB220.6 GB file

32K 211 GB · 128K 219 GB

IQ2_XS

Beam 1.0 501B A23B

151 GB151.7 GB file

32K 156 GB · 128K 174 GB

GLM 5.1

230 GB226.6 GB file

32K 229 GB · 128K 238 GB

IQ2_S

Beam 1.0 501B A23B

157 GB161.3 GB file

32K 163 GB · 128K 180 GB

GLM 5.1

240 GB231.4 GB file

32K 239 GB · 128K 248 GB

IQ2_M

Beam 1.0 501B A23B

170 GB178.5 GB file

32K 175 GB · 128K 193 GB

GLM 5.1

259 GB236.2 GB file

32K 258 GB · 128K 267 GB

IQ3_XXS

Beam 1.0 501B A23B

195 GB211.1 GB file

32K 200 GB · 128K 218 GB

GLM 5.1

296 GB268.3 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

Beam 1.0 501B A23B

207 GB224.5 GB file

32K 213 GB · 128K 230 GB

GLM 5.1

315 GB343.9 GB file

32K 314 GB · 128K 323 GB

IQ3_S

Beam 1.0 501B A23B

not listed

GLM 5.1

325 GB279.6 GB file

32K 324 GB · 128K 332 GB

IQ3_M

Beam 1.0 501B A23B

226 GB255.7 GB file

32K 232 GB · 128K 249 GB

GLM 5.1

343 GB360.3 GB file

32K 342 GB · 128K 351 GB

Q3_K_L

Beam 1.0 501B A23B

258 GB249.5 GB file

32K 263 GB · 128K 280 GB

GLM 5.1

391 GB358.9 GB file

32K 390 GB · 128K 398 GB

IQ4_XS

Beam 1.0 501B A23B

270 GB273.1 GB file

32K 276 GB · 128K 293 GB

GLM 5.1

409 GB361.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

Beam 1.0 501B A23B

283 GB311.9 GB file

32K 288 GB · 128K 306 GB

GLM 5.1

428 GB368.9 GB file

32K 427 GB · 128K 436 GB

Q4_1

Beam 1.0 501B A23B

283 GB314.1 GB file

32K 288 GB · 128K 306 GB

GLM 5.1

428 GB472.7 GB file

32K 427 GB · 128K 436 GB

Q4_K_S

Beam 1.0 501B A23B

283 GB293.4 GB file

32K 288 GB · 128K 306 GB

GLM 5.1

428 GB433.9 GB file

32K 427 GB · 128K 436 GB

Q4_K_L

Beam 1.0 501B A23B

not listed

GLM 5.1

466 GB460.4 GB file

32K 465 GB · 128K 474 GB

Q5_K_S

Beam 1.0 501B A23B

345 GB355.1 GB file

32K 351 GB · 128K 368 GB

GLM 5.1

523 GB525.9 GB file

32K 522 GB · 128K 530 GB

BF16

Beam 1.0 501B A23B

1003 GB1002.7 GB file

32K 1009 GB · 128K 1026 GB

GLM 5.1

1512 GB1508.0 GB file

32K 1511 GB · 128K 1520 GB

How to run each

Beam 1.0 501B A23B

Ollama · Q4_K_M

$ollama run hf.co/bartowski/Beam-1.0-501B-A23B-GGUF:Q4_K_M

All ways to run Beam 1.0 501B A23B →

GLM 5.1

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-5.1-GGUF:Q4_K_M

All ways to run GLM 5.1 →

Specifications

Specifications of Beam 1.0 501B A23B and GLM 5.1
Spec	Beam 1.0 501B A23B	GLM 5.1
Publisher	reflection	Z.ai
Parameters	501.3B	753.9B
Active parameters	23B per token	42B per token
Architecture	BeamForCausalLM	GlmMoeDsaForCausalLM
Context	1M tokens	198K tokens
Modalities	Chat, Reasoning, Code, Function-calling	Chat, Function-calling
License	Apache 2.0	MIT
Released	Oct 2026	Apr 2026

Frequently Asked Questions

Which is better, Beam 1.0 501B A23B or GLM 5.1?

Beam 1.0 501B A23B and GLM 5.1 match in llmrun Score, with values of 119.5 versus 117.8; neither fits 24 GB. Choose Beam 1.0 501B A23B for lighter on memory and longer context window.

Which needs less VRAM, Beam 1.0 501B A23B or GLM 5.1?

At Q4_K_M, Beam 1.0 501B A23B requires 301.4 GB while GLM 5.1 needs 456.5 GB, making Beam 1.0 501B A23B the easier model to run on your local setup.

Can I run Beam 1.0 501B A23B or GLM 5.1 on a 16 GB GPU?

Beam 1.0 501B A23B does not fit (smallest quant needs 141.1 GB); GLM 5.1 does not fit (smallest quant needs 209.1 GB).

Which has a longer context window, Beam 1.0 501B A23B or GLM 5.1?

Beam 1.0 501B A23B supports 1,048,576 tokens and GLM 5.1 supports 202,752 tokens.