| Signal | Grok 4.20 Multi-Agent Beta | Delta | GLM 4.5V |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 6 | +4 | |
Context window size | 100 | +24 | |
Recency | 100 | +9 | |
Output Capacity | 20 | -50 | |
| Overall Result | 3 wins | of 5 | 1 wins |
8
days higher
5
days
17
days higher
xAI
Zhipu AI
GLM 4.5V saves you $350.00/month
That's $4200.00/year compared to Grok 4.20 Multi-Agent Beta at your current usage level of 100K calls/month.
| Metric | Grok 4.20 Multi-Agent Beta | GLM 4.5V | Winner |
|---|---|---|---|
| Overall Score | 82 | 82 | -- |
| Rank | #65 | #67 | Grok 4.20 Multi-Agent Beta |
| Quality Rank | #65 | #67 | Grok 4.20 Multi-Agent Beta |
| Adoption Rank | #65 | #67 | Grok 4.20 Multi-Agent Beta |
| Parameters | -- | -- | -- |
| Context Window | 2000K | 66K | Grok 4.20 Multi-Agent Beta |
| Pricing | $2.00/$6.00/M | $0.60/$1.80/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Grok 4.20 Multi-Agent Beta |
| Pricing | 6 | 2 | Grok 4.20 Multi-Agent Beta |
| Context window size | 100 | 76 | Grok 4.20 Multi-Agent Beta |
| Recency | 100 | 91 | Grok 4.20 Multi-Agent Beta |
| Output Capacity | 20 | 70 | GLM 4.5V |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 82/100 (rank #65), placing it in the top 78% of all 290 models tracked.
Scores 82/100 (rank #67), placing it in the top 77% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
GLM 4.5V offers 70% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with GLM 4.5V vs $120.00/month with Grok 4.20 Multi-Agent Beta - a $84.00 monthly difference.
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.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GLM 4.5V also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (82/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Grok 4.20 Multi-Agent Beta and GLM 4.5V are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Grok 4.20 Multi-Agent Beta
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 4.5V
70% lower pricing; better value at scale
Best for Reliability
Grok 4.20 Multi-Agent Beta
Higher uptime and faster response speeds
Best for Prototyping
Grok 4.20 Multi-Agent Beta
Stronger community support and better developer experience
Best for Production
Grok 4.20 Multi-Agent Beta
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 4.20 Multi-Agent Beta | GLM 4.5V |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Zhipu AI
GLM 4.5V saves you $7.56/month
That's 70% cheaper than Grok 4.20 Multi-Agent Beta 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.
| Parameter | Grok 4.20 Multi-Agent Beta | GLM 4.5V |
|---|---|---|
| Context Window | 2M | 66K |
| Max Output Tokens | -- | 16,384 |
| Open Source | No | Yes |
| Created | Mar 12, 2026 | Aug 11, 2025 |
Both Grok 4.20 Multi-Agent Beta and GLM 4.5V score 82/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Grok 4.20 Multi-Agent Beta is ranked #65 and GLM 4.5V is ranked #67 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
GLM 4.5V is cheaper at $1.80/M output tokens vs Grok 4.20 Multi-Agent Beta's $6.00/M output tokens - 3.3x more expensive. Input token pricing: Grok 4.20 Multi-Agent Beta at $2.00/M vs GLM 4.5V at $0.60/M.
Grok 4.20 Multi-Agent Beta has a larger context window of 2,000,000 tokens compared to GLM 4.5V's 65,536 tokens. A larger context window means the model can process longer documents and conversations.