GLM-5.3 vs Grok 4.6: Specs & Benchmark Comparison
GLM-5.3 is developed by Zhipu AI, while Grok 4.6 comes from xAI. Both were released in August 2026. GLM-5.3 has a published size of about 753 billion parameters; xAI has not disclosed the parameter count of Grok 4.6.
The two models share 4 published benchmarks. GLM-5.3 leads on 4 of them. The widest gaps are on Terminal-Bench 4.0, where GLM-5.3 scores 41.8% against 20.3%; Terminal-Bench 3.0, where GLM-5.3 scores 28.3% against 26.0%. Averaged across everything we track, GLM-5.3 sits at 52.2% and Grok 4.6 at 49.6%.
GLM-5.3 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, about 43% below Grok 4.6 at $2 and $6. GLM-5.3 takes the larger context window at 1M tokens, compared with 500K for Grok 4.6. GLM-5.3 accepts text as input, while Grok 4.6 accepts text and images.
| Characteristic | GLM-5.3 | Grok 4.6 |
|---|---|---|
| Company | Zhipu AI | xAI |
| Release Date | August 14, 2026 | August 12, 2026 |
| Parameters | 753B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 500K |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | $2.00 |
| Output Price / 1M | $4.40 | $6.00 |
| Average Score | 52.2% | 49.6% |
| Benchmarks | ||
| Terminal-Bench 4.0 | 41.8% | 20.3% |
| Terminal-Bench 3.0 | 28.3% | 26.0% |
| DeepSWE 1.1 | 66.9% | 66.0% |
| GDPval-AA | 59.0% | 58.4% |
Visual Benchmark Comparison
Verdict
GLM-5.3 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GLM-5.3 — 0.5, Grok 4.6 — 0.5.
GLM-5.3 is 1.4x cheaper: input $1.40/1M vs $2.00/1M tokens.
GLM-5.3 supports a larger context: 1M vs 500K tokens.
Both models were released around the same time: 8/14/2026 and 8/12/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Grok 4.6?
Which model is cheaper — GLM-5.3 or Grok 4.6?
Which has a larger context window — GLM-5.3 or Grok 4.6?
The GLM-5.3 and Grok 4.6 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.3 or Grok 4.6 page. See also the complete list of AI model comparisons.