vs
3:10
overall capability wins (0 ties across 13 scored). GLM-5.2 leads overall.
- Reasoning1:5
- Coding0:3
- Arena0:1
- Tool use0:1
- Composite indices0:2
- Specs2:0
Verdict
GLM-5.2 leads coding (widest gap: +83.5 on WebDev Elo); GLM-5.2 ranks higher on LMArena (+7 Elo); GLM-5.1 offers larger context (203K vs 200K).
- GLM-5.2 leads coding (widest gap: +83.5 on WebDev Elo)
- GLM-5.2 ranks higher on LMArena (+7 Elo)
- GLM-5.1 offers larger context (203K vs 200K)
- GLM-5.1 allows ~3.9x more max output (128K vs 33K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- GLM-5.1
- $2.50
- GLM-5.2
- $2.50
Price per 1M tokens
Full comparison
Organization
Zhipu AI
Zhipu AI
Family
GLM
GLM
License
MIT
MIT
Open weights
Yes
Yes
Release
Apr 7, 2026
Jun 1, 2026
Knowledge cutoff
-
-
API / provider
Zhipu / Z.ai
Zhipu / Z.ai
Modalities
text → text
text, image → text
Specs
Context window
203K
200K
Max output
128K
33K
Parameters
744B (40B act.)
—
Pricing
Input $/1M
$1.40
$1.40
Output $/1M
$4.40
$4.40
Blended $/1M (3∶1)
$2.15
$2.15
Speed
tok/s
-
168
TTFT (s)
-
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
86.8
89.5
Humanity's Last Exam
30.1
41.1
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
23.7
24.3
AA-LCR v1.1
73.7
78.3
CritPt
4.6
20.9
MMMU-Pro
—
—
IFBench
76.3
73.3
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
61.8
77.9
Aider Polyglot
—
—
Terminal-Bench 3
—
4.6
BigCodeBench
—
—
SciCode
44.8
51.2
CursorBench
—
55.0
SWE-Rebench
—
57.0
NL2Repo-Bench
—
—
DeepSWE
—
44.0
WebDev Arena
1,508
1,592
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,466
1,472
| Metric | GLM-5.1 | GLM-5.2 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Zhipu AI | Zhipu AI | — |
| Family | GLM | GLM | — |
| License | MIT | MIT | — |
| Open weights | Yes | Yes | — |
| Release | Apr 7, 2026 | Jun 1, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Zhipu / Z.ai | Zhipu / Z.ai | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 203K | 200K | A +3K |
| Max output | 128K | 33K | A +95K |
| Parameters | 744B (40B act.) | — | — |
| Pricing | |||
| Input $/1M | $1.40 | $1.40 | tie |
| Output $/1M | $4.40 | $4.40 | tie |
| Blended $/1M (3∶1) | $2.15 | $2.15 | tie |
| Speed | |||
| tok/s | - | 168 | — |
| TTFT (s) | - | 0.35 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 86.8 | 89.5 | B +2.7 pts |
| Humanity's Last Exam | 30.1 | 41.1 | B +11.0 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 23.7 | 24.3 | B +0.6 pts |
| AA-LCR v1.1 | 73.7 | 78.3 | B +4.6 pts |
| CritPt | 4.6 | 20.9 | B +16.3 pts |
| MMMU-Pro | — | — | — |
| IFBench | 76.3 | 73.3 | A +3.0 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 61.8 | 77.9 | B +16.1 pts |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | 4.6 | — |
| BigCodeBench | — | — | — |
| SciCode | 44.8 | 51.2 | B +6.4 pts |
| CursorBench | — | 55.0 | — |
| SWE-Rebench | — | 57.0 | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | 44.0 | — |
| WebDev Arena | 1,508 | 1,592 | B +84 Elo |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,466 | 1,472 | B +7 Elo |
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.
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.