VerdictPal · editorial desk · updated 1 Sep 2026VerdictPal

Compare · Two models, head-to-head

Pick two models. See the diff.

Composite scores, benchmark ranks, capability grids, and pricing per million tokens. All sourced from the same data that powers the model atlas.

Tools Models

GLM-5.3 vs Qwen3.8 27B

Model A

Model B

MODEL A

GLM-5.3

Zhipu · GLM

Composite 54Intel 6011 rows2 sources

Z.ai's August 2026 coding refresh of the GLM-5.2 base. Artificial Analysis Intelligence Index 59.5 on the max-effort endpoint. API list price $1.40 / $4.40 per 1M tokens — same slot as GLM-5.2.

MODEL B

Qwen3.8 27B

Alibaba · Qwen

Composite 60Intel 529 rows1 sources

Alibaba's dense open-weight Qwen3.8 sibling (14 Aug 2026). Artificial Analysis Intelligence Index 52 on the xhigh-effort endpoint. AA hosted list $0.50 / $3 per 1M tokens. Apache 2.0 weights on Hugging Face.

GLM-5.32stats won

Tied1stats

Qwen3.8 27B4stats won

Spec showdown

Capacity, price, freshness.

GLM-5.3vsQwen3.8 27B

Qwen3.8 27B holds a narrow composite edge (60 vs 54), but the gap is small enough that other factors matter more. GLM-5.3 has the higher Vals/AA intelligence score (60 vs 52). Qwen3.8 27B is more affordable at $0.50/1M input — about 3× cheaper than $1.4/1M. Qwen3.8 27B's 262K context window dwarfs GLM-5.3's 0 — a meaningful difference for long-document or codebase work.

Composite score
GLM-5.354Qwen3.8 27B60Winner on this row
Intelligence (Vals/AA)
GLM-5.360Winner on this rowQwen3.8 27B52
Context window
GLM-5.3UnlistedQwen3.8 27B262KWinner on this row
Max output
GLM-5.3—Qwen3.8 27B—
Input price / 1M (lower wins)
GLM-5.3$1.4Qwen3.8 27B$0.50Winner on this row
Output speed (AA default API)
GLM-5.373 t/sWinner on this rowQwen3.8 27B45 t/s
Time to first token (AA default API)
GLM-5.31.56sQwen3.8 27B1.21sWinner on this row

Composite score

Intelligence (Vals/AA)

Context window

Unlisted

262K

Max output

—

Input price / 1M (lower wins)

$1.4

$0.50

Output speed (AA default API)

73 t/s

45 t/s

Time to first token (AA default API)

1.56s

1.21s

Capability grid

What each model can do.

Modalities

GLM-5.3Qwen3.8 27B

Text●●

Image—●

Audio——

Video—●

Code●●

Tool use●●

Reasoning●●

Access

GLM-5.3Qwen3.8 27B

API●●

Consumer app——

Open weights—●

Managed cloud●—

On-device——

Family profile

Top score per benchmark family.

Reasoning

Coding

Agentic

Long context

Benchmark ranks

Every shared benchmark, side by side.

Reasoning

Artificial Analysis Intelligence Index#9/184 · #31/184

59.5%

52%

GPQA Diamond#25/185 · #39/185

91.7%

90.5%

Humanity's Last Exam#26/180 · #57/180

42.3%

33.9%

Coding

SciCode#7/180 · #84/180

56.5%

44.7%

Agentic

Terminal-Bench#14/184 · #26/184

83.9%

79.78%

τ³-Bench Banking#3/106 · #5/106

50.31%

48.04%

Long context

AA-LCR#38/179 · #25/179

76.33%

77.33%

Performance

AA output speed#54/185 · #73/185

73 t/s

45 t/s

AA time to first token#41/185 · #57/185

1.56s

1.21s

Dossier facts

Dates, sources, fineprint.

GLM-5.3Qwen3.8 27B

ProviderZhipuAlibaba

FamilyGLMQwen

Release date2026-08-142026-08-14

Knowledge cutoffunpublishedunpublished

Context windowUnlisted262K

Max output——

Input price /1M$1.4$0.50

Output price /1M$4.4$3.0

Statussolidsolid

Composite score5460

Intelligence score6052

Intel sourceaaaa

Benchmark rows119

Source count21

Freshnessfreshfresh

Pricing checked2026-08-242026-08-24

Ecosystem

Which tools wrap each model.

GLM-5.3

Not listed in any tool yet.

Qwen3.8 27B

Not listed in any tool yet.

Verdict

Which model to actually pick.

Open GLM-5.3's dossier Open Qwen3.8 27B's dossier