Model Comparison

GLM-5 vs Grok 4.3

Comparing GLM-5 and Grok 4.3 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 4.3 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 1.3x cheaper than Grok 4.3 ($1.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.3x more expensive than Grok 4.3 ($2.50/1M tokens).

In conclusion, Grok 4.3 is more expensive than GLM-5.*

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

Lowest available price from all providers
Wed May 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
xAI
Grok 4.3
Input tokens$1.25
Output tokens$2.50
Best providerxAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Grok 4.3 accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
xAI
Grok 4.3
Input1,000,000 tokens
Output- tokens
Wed May 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Grok 4.3 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 4.3

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Grok 4.3 was released on 2026-05-06.

Grok 4.3 is 3 months newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

Grok 4.3

May 6, 2026

0 days ago

2mo 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 4.3 is available from xAI.

GLM-5

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

Grok 4.3

xai logo
xAI
Input Price:Input: $1.25/1MOutput Price:Output: $2.50/1M
* 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
Has open weights
xAI
Larger context window (1,000,000 tokens)
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
xAI
Grok 4.3

FAQ

Common questions about GLM-5 vs Grok 4.3.

Which is better, GLM-5 or Grok 4.3?

GLM-5 (Zhipu AI) and Grok 4.3 (xAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Grok 4.3 in benchmarks?

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%.

Is GLM-5 cheaper than Grok 4.3?

GLM-5 is 1.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Grok 4.3 costs $1.25/M input and $2.50/M output via xai.

What are the context window sizes for GLM-5 and Grok 4.3?

GLM-5 supports 200K tokens and Grok 4.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Grok 4.3?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $1.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Grok 4.3?

GLM-5 is developed by Zhipu AI and Grok 4.3 is developed by xAI.