| Signal | Grok 4.20 Multi-Agent | Delta | GLM 4.7 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Pricing | 6 | +4 | |
Context window size | 100 | +16 | |
Recency | 100 | -- | |
Output Capacity | 20 | -60 | |
Benchmarks | 0 | -72 | |
| Overall Result | 3 wins | of 6 | 2 wins |
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xAI
Zhipu AI
GLM 4.7 saves you $373.50/month
That's $4482.00/year compared to Grok 4.20 Multi-Agent at your current usage level of 100K calls/month.
| Metric | Grok 4.20 Multi-Agent | GLM 4.7 | Winner |
|---|---|---|---|
| Overall Score | 40 | 73 | GLM 4.7 |
| Rank | #120 | #53 | GLM 4.7 |
| Quality Rank | #120 | #53 | GLM 4.7 |
| Adoption Rank | #120 | #53 | GLM 4.7 |
| Parameters | -- | -- | -- |
| Context Window | 2000K | 203K | Grok 4.20 Multi-Agent |
| Pricing | $2.00/$6.00/M | $0.39/$1.75/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Grok 4.20 Multi-Agent |
| Pricing | 6 | 2 | Grok 4.20 Multi-Agent |
| Context window size | 100 | 84 | Grok 4.20 Multi-Agent |
| Recency | 100 | 100 | Grok 4.20 Multi-Agent |
| Output Capacity | 20 | 80 | GLM 4.7 |
| Benchmarks | -- | 72 | GLM 4.7 |
Our score (0-100) is driven by benchmark performance (90%) from LMArena Elo, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 40/100 (rank #120), placing it in the top 59% of all 290 models tracked.
Scores 73/100 (rank #53), placing it in the top 82% of all 290 models tracked.
GLM 4.7 has a 33-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GLM 4.7 offers 73% better value per quality point. At 1M tokens/day, you'd spend $32.10/month with GLM 4.7 vs $120.00/month with Grok 4.20 Multi-Agent - a $87.90 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 4.7 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 ($1.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (73/100) 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
GLM 4.7 clearly outperforms Grok 4.20 Multi-Agent with a significant 32.7-point lead. For most general use cases, GLM 4.7 is the stronger choice. However, Grok 4.20 Multi-Agent may still excel in niche scenarios.
Best for Quality
Grok 4.20 Multi-Agent
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 4.7
73% lower pricing; better value at scale
Best for Reliability
Grok 4.20 Multi-Agent
Higher uptime and faster response speeds
Best for Prototyping
Grok 4.20 Multi-Agent
Stronger community support and better developer experience
Best for Production
Grok 4.20 Multi-Agent
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 4.20 Multi-Agent | GLM 4.7 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Zhipu AI
GLM 4.7 saves you $8.00/month
That's 74% cheaper than Grok 4.20 Multi-Agent 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 | GLM 4.7 |
|---|---|---|
| Context Window | 2M | 203K |
| Max Output Tokens | -- | 65,535 |
| Open Source | No | Yes |
| Created | Mar 31, 2026 | Dec 22, 2025 |
GLM 4.7 scores 73/100 (rank #53) compared to Grok 4.20 Multi-Agent's 40/100 (rank #120), giving it a 33-point advantage. GLM 4.7 is the stronger overall choice, though Grok 4.20 Multi-Agent may excel in specific areas like certain benchmarks.
Grok 4.20 Multi-Agent is ranked #120 and GLM 4.7 is ranked #53 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from LMArena, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GLM 4.7 is cheaper at $1.75/M output tokens vs Grok 4.20 Multi-Agent's $6.00/M output tokens - 3.4x more expensive. Input token pricing: Grok 4.20 Multi-Agent at $2.00/M vs GLM 4.7 at $0.39/M.
Grok 4.20 Multi-Agent has a larger context window of 2,000,000 tokens compared to GLM 4.7's 202,752 tokens. A larger context window means the model can process longer documents and conversations.