Openthinker 7 B vs GLM 5.3: cost comparison
Prices updated 2026-11-13 · computed from live provider data
Short answer: Openthinker 7 B is cheaper on a
3:1 input/output blend — $0.098 per million tokens versus
$0.963, a 90% difference.
GLM 5.3 offers the larger context window at 1,048,576 tokens, against 32,768 for Openthinker 7 B.
Head to head
| Openthinker 7 B | GLM 5.3 | |
|---|---|---|
| Input, per 1M tokens | $0.080 | $0.084 |
| Output, per 1M tokens | $0.150 | $3.60 |
| Blended 3:1, per 1M | $0.098 | $0.963 |
| Context window | 32,768 | 1,048,576 |
| Vendor | llamagate | z-ai |
Monthly cost at real volumes
| Workload (input / output) | Openthinker 7 B | GLM 5.3 |
|---|---|---|
| 1M in / 250K out | $0.117 | $0.984 |
| 10M in / 2.5M out | $1.18 | $9.84 |
| 100M in / 25M out | $11.75 | $98.40 |
Which should you pick?
Pick GLM 5.3 when you need the longer context window (1,048,576 vs 32,768 tokens). Pick Openthinker 7 B when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.