Model Comparison

GLM-5 vs Grok-4.20 Beta Reasoning

Comparing GLM-5 and Grok-4.20 Beta Reasoning across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Grok-4.20 Beta Reasoning don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.0x cheaper than Grok-4.20 Beta Reasoning ($2.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.9x cheaper than Grok-4.20 Beta Reasoning ($6.00/1M tokens).

In conclusion, Grok-4.20 Beta Reasoning is more expensive than GLM-5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
xAI
Grok-4.20 Beta Reasoning
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Grok-4.20 Beta Reasoning accepts 2,000,000 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Grok-4.20 Beta Reasoning is limited to 30,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
xAI
Grok-4.20 Beta Reasoning
Input2,000,000 tokens
Output30,000 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-4.20 Beta Reasoning supports multimodal inputs, whereas GLM-5 does not.

Grok-4.20 Beta Reasoning can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Grok-4.20 Beta Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Grok-4.20 Beta Reasoning uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Grok-4.20 Beta Reasoning

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Grok-4.20 Beta Reasoning was released on 2026-03-09.

Grok-4.20 Beta Reasoning is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

1 months ago

Grok-4.20 Beta Reasoning

Mar 9, 2026

1 months ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from ZAI. Grok-4.20 Beta Reasoning is available from xAI.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Grok-4.20 Beta Reasoning

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
xAI
Larger context window (2,000,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
xAI
Grok-4.20 Beta Reasoning

FAQ

Common questions about GLM-5 vs Grok-4.20 Beta Reasoning

GLM-5 (Zhipu AI) and Grok-4.20 Beta Reasoning (xAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%.
GLM-5 is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Grok-4.20 Beta Reasoning costs $2.00/M input and $6.00/M output via xai.
GLM-5 supports 200K tokens and Grok-4.20 Beta Reasoning supports 2.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 2.0M), input pricing ($1.00 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Grok-4.20 Beta Reasoning is developed by xAI.