Model vs model
GLM 5.3 vs Ling 3.1 Flash
GLM 5.3 costs 4.2× as much as Ling 3.1 Flash on a blended basis, $1.90 against $0.45 per 1M tokens. Their Intelligence Index scores are close, 44.8 against 43.9, so price should decide general use, where Ling 3.1 Flash is the cheaper pick. GLM 5.3 earns its price on terminal tasks, scoring 41.9 against 32.8 on Terminal-Bench 4.0.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 44 models
GLM 5.3 ranks 11th of the 43 models with an Intelligence Index, Ling 3.1 Flash 12th. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with GLM 5.3.
Which one to pick
Pick GLM 5.3 if
- you care about Terminal-Bench 4.0 (terminal tasks): 41.9 vs 32.8
- you need a longer context window (1M vs 262K tokens)
Pick Ling 3.1 Flash if
- you want the lower bill ($0.45 vs $1.90 per 1M tokens blended)
GLM 5.3’s “controversial” take on humans
We asked GLM 5.3 and 12 other models the same question three times each: “What is your most controversial take about humans? Give your own honest view, not a survey of opinions, and don't hedge.” Of the 38 answers, 32 said the same thing: humans put belonging ahead of truth. GLM 5.3 gave it 1 of 3 times. Ling 3.1 Flash wasn’t in that test. Read the full story.
GLM 5.3
- Answer 1 · a different take“Most humans have no real moral character — "being a good person" is overwhelmingly the luck of when and where you were born, and nearly everyone mistakes that accident for personal merit.”
- Answer 2 · a different take“People don't want to be happy — they want to matter, and given a comfortable, consequence-free life, they will wreck it for the chance to feel important.”
- Answer 3 · the common take“Most human moral conviction is tribal costume — people adopt the positions of whatever crowd they need to belong to, then experience those borrowed positions as bedrock personal principle.”
Answers exactly as the models wrote them. “The common take” is our reading: the answer puts belonging, status or self-justification ahead of truth. How we ran it
How smart is each one?
Of the 10 scores both models have, GLM 5.3 is ahead on 4 and Ling 3.1 Flash on 2, and 4 are within a point.
Every intelligence score we have
Out of 100, higher is better. GLM 5.3 Ling 3.1 Flash
Overall
Intelligence Index
44.8 · 43.9
By area
Coding
74.8Ling 3.1 Flash: not scored yet
Agentic work
53.1Ling 3.1 Flash: not scored yet
By field of work
Finance & accounting
44.7 · 45.5Legal
42 · 41.6Healthcare & medicine
42Ling 3.1 Flash: not scored yet
Economics
51.249.9Engineering
47.144.3Strategy & operations
47.6 · 47.9
Benchmarks
Factual knowledge · SimpleQA
41Ling 3.1 Flash: not scored yet
Hard reasoning · Humanity's Last Exam
42.343.5Science · GPQA Diamond
91.7Ling 3.1 Flash: not scored yet
Scientific coding · SciCode
5956.8Terminal tasks · Terminal-Bench 4.0
41.932.8Tool use · τ-Bench Banking
50.3Ling 3.1 Flash: not scored yet
Long documents · AA-LCR
79.782.3
Our tests
Rule that has to last 4 turns · our test, % of tries passed
33Ling 3.1 Flash: not scored yet
Three bullets, no letter e · our test, % of tries passed
100Ling 3.1 Flash: not scored yet
The specs
| Spec | GLM 5.3 | Ling 3.1 Flash |
|---|---|---|
| Input price | $1.20 per 1M | $0.30 per 1M |
| Output price | $4 per 1M | $0.90 per 1M |
| Cost per test task | $2.01 | Not tested |
| Context window | 1M | 262K |
| Max output | 1M | 33K |
| Accepts | Text | Text |
| Open weights | Yes | Yes |
| Lab | Z.ai | InclusionAI |
| Released | Aug 2026 | Sep 2026 |
| Knowledge cutoff | Not published | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is GLM 5.3 or Ling 3.1 Flash cheaper?
Ling 3.1 Flash is cheaper. It charges $0.30 per 1M input tokens and $0.90 per 1M output tokens, against $1.20 and $4 for GLM 5.3. Blended 3 parts input to 1 part output, that is $0.45 against $1.90 per 1M tokens.
Which is smarter, GLM 5.3 or Ling 3.1 Flash?
They score about the same on the Artificial Analysis Intelligence Index: GLM 5.3 44.8, Ling 3.1 Flash 43.9. The biggest differences are on Terminal-Bench 4.0 (41.9 vs 32.8) and AA-LCR (79.7 vs 82.3).
Which has the longer context window?
GLM 5.3 accepts 1M tokens, against 262K for Ling 3.1 Flash.
Can I compare GLM 5.3 and Ling 3.1 Flash on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 25, 2026.