GLM-5.3 vs Inkling-Small: Specs & Benchmark Comparison
| Characteristic | GLM-5.3 | Inkling-Small |
|---|---|---|
| Company | Zhipu AI | Thinking Machines Lab |
| Release Date | August 14, 2026 | July 30, 2026 |
| Parameters | 753B | 276B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 131K | 256K |
| Input Price / 1M | $1.40 | $0.30 |
| Output Price / 1M | $4.40 | $1.20 |
| Average Score | 0.8 | 0.6 |
| Benchmarks | ||
| Terminal-Bench 2.1 | 0.9 | 0.6 |
Visual Benchmark Comparison
GLM-5.3
Inkling-Small
Terminal-Bench 2.10.9 vs 0.6
0.9
0.6
Verdict
GLM-5.3 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.3 — 0.8, Inkling-Small — 0.6.
API Cost
Inkling-Small is 3.9x cheaper: input $0.30/1M vs $1.40/1M tokens.
Context Window
GLM-5.3 supports a larger context: 1M vs 256K tokens.
Recency
GLM-5.3 is newer: released 8/14/2026 vs 7/30/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Inkling-Small?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.3 or Inkling-Small?
Inkling-Small is cheaper for input: $0.30 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.3 or Inkling-Small?
GLM-5.3 supports a larger context: 1,048,576 tokens vs 256,000.
The GLM-5.3 and Inkling-Small 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 Inkling-Small page. See also the complete list of AI model comparisons.