Skip to content

Grok 4.20 vs GLM 5.2

Grok 4.20

xAI

89#29
vs
GLM 5.2

Zhipu AI

79#68
Signal-by-Signal Comparison
SignalGrok 4.20DeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
86
+6
81
Pricing
98
0
98
Context window size
100
+5
96
Recency
100
--
100
Output Capacity
20
-65
85
Overall Result
3 wins
of 6
2 wins
Grok 4.20 wins 3 of 6 signals

Score History

Score History (18 data points)
Grok 4.20GLM 5.2
Grok 4.20

88.8

current score

Leader

Grok 4.20

right now

GLM 5.2

78.5

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Grok 4.20

xAI

Per request$0.002500
Daily$8.33
Monthly$250.00
Annual$3000.00

GLM 5.2

Zhipu AI

Best Value
Per request$0.001890
Daily$6.30
Monthly$189.00
Annual$2268.00

GLM 5.2 saves you $61.00/month

That's $732.00/year compared to Grok 4.20 at your current usage level of 100K calls/month.

24% cheaper
Choose GLM 5.2 for cost optimization

Grok 4.20 pricing:
Input:$1.25/M tokens
Output:$2.50/M tokens
GLM 5.2 pricing:
Input:$0.73/M tokens
Output:$2.31/M tokens
Winner
Grok 4.20

xAI

89

Composite Score

GLM 5.2

Zhipu AI

79

Composite Score

Signal-by-Signal Comparison
MetricGrok 4.20GLM 5.2Winner
Overall Score
89
79
Grok 4.20
Rank#29#68
Grok 4.20
Quality Rank#29#68
Grok 4.20
Adoption Rank#29#68
Grok 4.20
Parameters------
Context Window2000K1049K
Grok 4.20
Pricing$1.25/$2.50/M$0.73/$2.31/M--
Signal Scores
Capabilities
100
67
Grok 4.20
Benchmarks
86
81
Grok 4.20
Pricing
98
98
GLM 5.2
Context window size
100
96
Grok 4.20
Recency
100
100
Grok 4.20
Output Capacity
20
85
GLM 5.2
Benchmark Head-to-Head(11 benchmarks)
Grok 4.20: 1GLM 5.2: 1
Grok 4.20
GLM 5.2
Normalized 0-100%
MMLU
91.5%-
MMLU-Pro
83.5%86%
GPQA Diamond
82%-
MATH-500
95%-
HumanEval
95.5%-
SWE-bench Verified
70%-
AIME 2024
88%-
IFEval
91%-
BBH
90%-
Arena Elo
14621457
LiveBench
73%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Grok 4.20Elite Tier

Scores 89/100 (rank #29), placing it in the top 90% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2Strong Performer

Scores 79/100 (rank #68), placing it in the top 77% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.20 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Grok 4.20 when you need:

  • Processing long documents or large codebases (2000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5.2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Grok 4.20
Input cost$1.25/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$56.25
GLM 5.2Best Value
Input cost$0.73/M tokens
Output cost$2.31/M tokens
Cost per quality point$0.039
Est. monthly (1M tokens/day)$45.67

GLM 5.2 offers 19% better value per quality point. At 1M tokens/day, you'd spend $45.67/month with GLM 5.2 vs $56.25/month with Grok 4.20 - a $10.58 monthly difference.

Latency & Speed
Grok 4.20Faster
Speed score0/100
GLM 5.2
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Grok 4.20

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.2 also offers lower per-token costs for high-volume support

Grok 4.20

Long document analysis

Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.20

Batch data extraction

Lower output pricing ($2.31/M) reduces costs when processing thousands of records daily

GLM 5.2

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.20

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Grok 4.20
Which Should You Choose?
Our recommendation:
Grok 4.20

Grok 4.20 clearly outperforms GLM 5.2 with a significant 10.299999999999997-point lead. For most general use cases, Grok 4.20 is the stronger choice. However, GLM 5.2 may still excel in niche scenarios.

Grok 4.20
Recommended

by xAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Zhipu AI

  • Choose for Cost - 19% lower pricing; better value at scale
Capability Comparison
CapabilityGrok 4.20GLM 5.2
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Grok 4.20

xAI

$5.25
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$4.09
estimated monthly cost

GLM 5.2 saves you $1.16/month

That's 22% cheaper than Grok 4.20 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGrok 4.20GLM 5.2
Context Window2M1.0M
Max Output Tokens--131,072
Open SourceNoYes
CreatedMar 31, 2026Jun 16, 2026
Last updated: 1h ago

相关对比

Grok 4.20 vs GLM 5.2 (2026) | LM Market Cap