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A · closed · GLM

GLM-4.7 Flash

Zhipu AI

B · open · GLM

GLM-5.1

Zhipu AI

0:10

overall capability wins (0 ties across 10 scored). GLM-5.1 leads overall.

  • Reasoning0:6
  • Coding0:1
  • Arena0:1
  • Pricing3:0
  • Specs0:2

Verdict

GLM-5.1 leads coding (widest gap: +11.1 on SciCode); GLM-5.1 ranks higher on LMArena (+99 Elo); GLM-5.1 offers larger context (203K vs 200K).

  • GLM-5.1 leads coding (widest gap: +11.1 on SciCode)
  • GLM-5.1 ranks higher on LMArena (+99 Elo)
  • GLM-5.1 offers larger context (203K vs 200K)
  • GLM-5.1 allows ~7.8x more max output (128K vs 16K)
  • GLM-5.1 ships open weights (MIT)
  • GLM-4.7 Flash is ~14.8x cheaper on a blended token basis than GLM-5.1

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

GLM-4.7 Flash
$0.16
GLM-5.1
$2.50

GLM-4.7 Flash is about 15.6x cheaper on this workload.

Price per 1M tokens

Full comparison

Organization

Zhipu AI

Zhipu AI

Family

GLM

GLM

License

Proprietary

MIT

Open weights

No

Yes

Release

Dec 10, 2025

Apr 7, 2026

Knowledge cutoff

-

-

API / provider

Zhipu AI

Zhipu / Z.ai

Modalities

text, image → text

text → text

Specs

Context window

200K

203K

B +3K

Max output

16K

128K

B +112K

Parameters

—

744B (40B act.)

—

Pricing

Input $/1M

$0.06

$1.40

A +$1.34

Output $/1M

$0.40

$4.40

A +$4

Blended $/1M (3∶1)

$0.15

$2.15

A +$2.00

Speed

tok/s

130

-

—

TTFT (s)

0.22

-

—

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

58.1

86.8

B +28.7 pts

Humanity's Last Exam

7.6

30.1

B +22.5 pts

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

16.2

23.7

B +7.5 pts

AA-LCR v1.1

41.7

73.7

B +32.0 pts

CritPt

0.3

4.6

B +4.3 pts

MMMU-Pro

—

—

—

IFBench

60.8

76.3

B +15.5 pts

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

—

61.8

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

33.7

44.8

B +11.1 pts

CursorBench

—

—

—

SWE-Rebench

30.1

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,508

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,366

1,466

B +99 Elo

GLM-4.7 Flash

Context
200K / 16K out
Parameters
—
Price
$0.06 / $0.40
Speed
130 tok/s · 0.22s TTFT
Modalities
text, image → text
License
Proprietary

Fast low-cost GLM-4.7 API tier for Chinese/English high-volume chat and light agents.

GLM-5.1

Context
203K / 128K out
Parameters
744B (40B act.)
Price
$1.40 / $4.40
Speed
—
Modalities
text → text
License
MIT

Zhipu's April 2026 refinement of the GLM-5 744B MoE (40B active) flagship for agentic engineering — MIT open weights, ~200K context, 128K max output. Benchmark figures here are Artificial Analysis and LMArena leaderboard snapshots, not Zhipu's own launch numbers.

Benchmark charts

Winner bars are emphasized. Per-benchmark deltas sit above each chart.

Reasoning & knowledge

GPQA: B +28.7HLE: B +22.5CritPt: B +4.3AA-LCR: B +32.0Omniscience Acc.: B +7.5IFBench: B +15.5

Coding

SciCode: B +11.1

Arena

Arena Elo: B +99

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