GLM-5.3-Flash
01
Snapshot
Overall
65
rank #18 of 22
Coding
60
rank #20 of 22
Multimodal
63
rank #21 of 22
Input / Output
$0.07 / $0.25
USD per 1M tokens
Context
128K
usable recall 80
Speed
~90 tok/s
TTFT 0.2s
Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.
02
Specs & pricing
Every tracked field. List API prices in USD per 1M tokens; verify current vendor pricing before purchase.
| Vendor | Zhipu AI (CN) |
| Released / current | 2026.08 |
| Licensing | Open weights |
| Context window | 128K |
| Max output | 64K |
| Effective-context score | 80 |
| Input / output price | $0.07 / $0.25 per 1M tokens |
| Cache discount | No published cache discount |
| Free tier | ChatGLM free |
| Speed / TTFT | ~90 tok/s / 0.2s |
| Function calling | 70 |
| Refusal rate | ~6% |
| English / Chinese | 65 / 85 |
| Modalities | text |
| Fine-tuning | Yes |
| Private deployment | Yes (enterprise) |
| SOC2 / no-train | no / yes |
03
Strengths & watch-outs
Strengths
- Among the cheapest
- Fast
- Open source
Watch-outs
- Limited capability
- Text-only
- Small context
04
Where it ranks among 22 models
Overall 65/100 (#18), coding 60 (#20), multimodal 63 (#21). See the full boards and side-by-side compare on the leaderboard.
05
Pricing in practice
Illustrative monthly bill for 100M input + 30M output tokens: $15 at list. Your mix and cache-hit ratio change this.
Illustrative model using public list rates before any enterprise agreement; cache discount: No published cache discount.
06
Frequently asked questions
How much does GLM-5.3-Flash cost?
List API pricing is $0.07 input and $0.25 output per 1M tokens. No published cache discount. ChatGLM free
What is GLM-5.3-Flash's context window, and is it usable end to end?
It advertises a 128K window with 64K max output; its effective-context score is 80/100, which is the better predictor of whether long-document details are actually retained.
Is GLM-5.3-Flash good for coding?
Its coding aggregate is 60/100, rank #20 of 22. It is adequate for scripts and assisted completion rather than the most demanding SWE-style work.
Can I self-host GLM-5.3-Flash?
Yes — it ships open weights and supports private deployment, so you can run it on your own infrastructure for data control; budget for GPU and operations.
How strong is it in Chinese and on multimodal inputs?
Chinese score is 85 versus English 65; multimodal aggregate is 63/100 (rank #21), accepting text.