GLM-5.2 vs Grok 4.5: Specs & Benchmark Comparison

GLM-5.2 is developed by Zhipu AI, while Grok 4.5 comes from xAI. GLM-5.2 was released in June 2026, and Grok 4.5 followed a month later in July 2026. GLM-5.2 has a published size of about 753 billion parameters; xAI has not disclosed the parameter count of Grok 4.5.

We have 4 benchmark results for GLM-5.2 and 4 benchmark results for Grok 4.5, but they overlap on a single test: GPQA, where Grok 4.5 scores 93.0% against 91.0%.

GLM-5.2 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, about 43% below Grok 4.5 at $2 and $6. GLM-5.2 takes the larger context window at 1M tokens, compared with 500K for Grok 4.5. GLM-5.2 accepts text as input, while Grok 4.5 accepts text and images.

CharacteristicGLM-5.2Grok 4.5
CompanyZhipu AIxAI
Release DateJune 16, 2026July 16, 2026
Parameters753B
MultimodalNoYes
Context (input)1.0M500K
Context (output)131K
Input Price / 1M$1.40$2.00
Output Price / 1M$4.40$6.00
Average Score94.3%76.0%
Benchmarks
GPQA91.0%93.0%

Visual Benchmark Comparison

GLM-5.2
Grok 4.5
GPQA0.9 vs 0.9
0.9
0.9

Verdict

GLM-5.2 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.2 — 0.9, Grok 4.5 — 0.8.

API Cost

GLM-5.2 is 1.4x cheaper: input $1.40/1M vs $2.00/1M tokens.

Context Window

GLM-5.2 supports a larger context: 1M vs 500K tokens.

Recency

Grok 4.5 is newer: released 7/16/2026 vs 6/16/2026.

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Frequently Asked Questions

Which is better for coding — GLM-5.2 or Grok 4.5?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.2 or Grok 4.5?
GLM-5.2 is cheaper for input: $1.40 per 1M tokens vs $2.00.
Which has a larger context window — GLM-5.2 or Grok 4.5?
GLM-5.2 supports a larger context: 1,048,576 tokens vs 500,000.

The GLM-5.2 and Grok 4.5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.2 or Grok 4.5 page. See also the complete list of AI model comparisons.