vs
0:10
overall capability wins (1 ties across 11 scored). GLM-5.2 leads overall.
- Reasoning0:6
- Coding0:2
- Arena0:1
- Pricing3:0
- Speed1:1
- Specs0:1
Verdict
GLM-5.2 leads coding (widest gap: +26.9 on SWE-Rebench); GLM-5.2 ranks higher on LMArena (+106 Elo); GLM-5.2 allows ~2.0x more max output (33K vs 16K).
- GLM-5.2 leads coding (widest gap: +26.9 on SWE-Rebench)
- GLM-5.2 ranks higher on LMArena (+106 Elo)
- GLM-5.2 allows ~2.0x more max output (33K vs 16K)
- GLM-5.2 ships open weights (MIT)
- GLM-4.7 Flash is ~14.8x cheaper on a blended token basis than GLM-5.2
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- GLM-4.7 Flash
- $0.16
- GLM-5.2
- $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
Jun 1, 2026
Knowledge cutoff
-
-
API / provider
Zhipu AI
Zhipu / Z.ai
Modalities
text, image → text
text, image → text
Specs
Context window
200K
200K
Max output
16K
33K
Parameters
—
—
Pricing
Input $/1M
$0.06
$1.40
Output $/1M
$0.40
$4.40
Blended $/1M (3∶1)
$0.15
$2.15
Speed
tok/s
130
168
TTFT (s)
0.22
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
58.1
89.5
Humanity's Last Exam
7.6
41.1
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
16.2
24.3
AA-LCR v1.1
41.7
78.3
CritPt
0.3
20.9
MMMU-Pro
—
—
IFBench
60.8
73.3
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
77.9
Aider Polyglot
—
—
Terminal-Bench 3
—
4.6
BigCodeBench
—
—
SciCode
33.7
51.2
CursorBench
—
55.0
SWE-Rebench
30.1
57.0
NL2Repo-Bench
—
—
DeepSWE
—
44.0
WebDev Arena
—
1,592
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,366
1,472
| Metric | GLM-4.7 Flash | GLM-5.2 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Zhipu AI | Zhipu AI | — |
| Family | GLM | GLM | — |
| License | Proprietary | MIT | — |
| Open weights | No | Yes | — |
| Release | Dec 10, 2025 | Jun 1, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Zhipu AI | Zhipu / Z.ai | — |
| Modalities | text, image → text | text, image → text | — |
| Specs | |||
| Context window | 200K | 200K | tie |
| Max output | 16K | 33K | B +16K |
| Parameters | — | — | — |
| 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 | 168 | B +38 |
| TTFT (s) | 0.22 | 0.35 | A +0.13 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 58.1 | 89.5 | B +31.4 pts |
| Humanity's Last Exam | 7.6 | 41.1 | B +33.5 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 16.2 | 24.3 | B +8.1 pts |
| AA-LCR v1.1 | 41.7 | 78.3 | B +36.6 pts |
| CritPt | 0.3 | 20.9 | B +20.6 pts |
| MMMU-Pro | — | — | — |
| IFBench | 60.8 | 73.3 | B +12.5 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 77.9 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | 4.6 | — |
| BigCodeBench | — | — | — |
| SciCode | 33.7 | 51.2 | B +17.5 pts |
| CursorBench | — | 55.0 | — |
| SWE-Rebench | 30.1 | 57.0 | B +26.9 pts |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | 44.0 | — |
| WebDev Arena | — | 1,592 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,366 | 1,472 | B +106 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-5.2
- Context
- 200K / 33K out
- Parameters
- —
- Price
- $1.40 / $4.40
- Speed
- 168 tok/s · 0.35s TTFT
- Modalities
- text, image → text
- License
- MIT
Open MIT GLM-5.2 - competitive open Arena Elo and strong Chinese/English bilingual performance.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.