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-Flash vs Qwen3.8-Flash-Next

Model A

Model B

MODEL A

GLM-5.3-Flash

Zhipu · GLM

Composite 63Intel 589 rows1 sources

Z.ai's 26 Aug 2026 Flash sibling of GLM-5.3. Artificial Analysis Intelligence Index 57.5 — two points behind GLM-5.3 max at a tenth of the list price ($0.15 / $0.50 per 1M tokens).

MODEL B

Qwen3.8-Flash-Next

Alibaba · Qwen

Composite 63Intel 569 rows1 sources

Alibaba's 26 Aug 2026 Flash-Next sibling in the Qwen3.8 line. Artificial Analysis Intelligence Index 55.8. AA hosted list $0.15 / $0.47 per 1M tokens — cheaper and faster than Qwen3.8 27B, below hosted Qwen3.8 Max.

GLM-5.3-Flash2stats won

Tied3stats

Qwen3.8-Flash-Next2stats won

Spec showdown

Capacity, price, freshness.

GLM-5.3-FlashvsQwen3.8-Flash-Next

Composite scores are within 5 points — 63 for GLM-5.3-Flash vs 63 for Qwen3.8-Flash-Next. The choice comes down to capability profile and price. GLM-5.3-Flash has the higher Vals/AA intelligence score (58 vs 56). GLM-5.3-Flash's 1M context window dwarfs Qwen3.8-Flash-Next's 262K — a meaningful difference for long-document or codebase work.

Composite score
GLM-5.3-Flash63Qwen3.8-Flash-Next63
Intelligence (Vals/AA)
GLM-5.3-Flash58Winner on this rowQwen3.8-Flash-Next56
Context window
GLM-5.3-Flash1MWinner on this rowQwen3.8-Flash-Next262K
Max output
GLM-5.3-Flash—Qwen3.8-Flash-Next—
Input price / 1M (lower wins)
GLM-5.3-Flash$0.15Qwen3.8-Flash-Next$0.15
Output speed (AA default API)
GLM-5.3-Flash42 t/sQwen3.8-Flash-Next87 t/sWinner on this row
Time to first token (AA default API)
GLM-5.3-Flash1.41sQwen3.8-Flash-Next1.27sWinner on this row

Composite score

Intelligence (Vals/AA)

Context window

262K

Max output

—

Input price / 1M (lower wins)

$0.15

Output speed (AA default API)

42 t/s

87 t/s

Time to first token (AA default API)

1.41s

1.27s

Capability grid

What each model can do.

Modalities

GLM-5.3-FlashQwen3.8-Flash-Next

Text●●

Image——

Audio——

Video——

Code●●

Tool use●●

Reasoning●●

Access

GLM-5.3-FlashQwen3.8-Flash-Next

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#13/184 · #20/184

57.5%

55.8%

GPQA Diamond#29/185 · #21/185

91.2%

92.3%

Humanity's Last Exam#36/180 · #42/180

39.9%

38%

Coding

SciCode#73/180 · #67/180

46.1%

46.9%

Agentic

Terminal-Bench#12/184 · #8/184

84.27%

86.14%

τ³-Bench Banking#6/106 · #8/106

47.22%

45.36%

Long context

AA-LCR#20/179 · #30/179

78%

77%

Performance

AA output speed#76/185 · #46/185

42 t/s

87 t/s

AA time to first token#48/185 · #54/185

1.41s

1.27s

Dossier facts

Dates, sources, fineprint.

GLM-5.3-FlashQwen3.8-Flash-Next

ProviderZhipuAlibaba

FamilyGLMQwen

Release date2026-08-262026-08-26

Knowledge cutoffunpublishedunpublished

Context window1M262K

Max output——

Input price /1M$0.15$0.15

Output price /1M$0.50$0.47

Statussolidsolid

Composite score6363

Intelligence score5856

Intel sourceaaaa

Benchmark rows99

Source count11

Freshnessfreshfresh

Pricing checked2026-09-012026-09-01

Ecosystem

Which tools wrap each model.

GLM-5.3-Flash

Not listed in any tool yet.

Qwen3.8-Flash-Next

Not listed in any tool yet.

Verdict

Which model to actually pick.

Open GLM-5.3-Flash's dossier Open Qwen3.8-Flash-Next's dossier