Model vs model

GLM 5.3 Flash vs Ling 3.1 Flash

Free to try, no account needed. You see each answer’s cost and speed.

At a glance

Longer bar means the bigger number.

Open or closed · can you download the model and run it yourself?

GLM 5.3 FlashOpen weights · download it, run it on your own hardware or any host
Ling 3.1 FlashOpen weights · download it, run it on your own hardware or any host

Blended price · per 1M tokens, lower is better

GLM 5.3 Flash$0.24
Ling 3.1 Flash$0.45

Intelligence Index · Artificial Analysis, higher is better

GLM 5.3 Flash41.8
Ling 3.1 Flash43.9

Context window · tokens it can read at once

GLM 5.3 Flash1M
Ling 3.1 Flash262K

Where they sit among all 44 models

GLM 5.3 Flash ranks 15th 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 Flash.

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Rank by
Intelligence: the Artificial Analysis Intelligence Index. Price: blended per 1M tokens, 3 parts input to 1 part output, on a log scale.

Which one to pick

Pick GLM 5.3 Flash if

  • you want the lower bill ($0.24 vs $0.45 per 1M tokens blended)
  • you need a longer context window (1M vs 262K tokens)
  • you need to send images

Pick Ling 3.1 Flash if

  • you want the higher overall score (43.9 vs 41.8)
  • you care about SciCode (scientific coding): 56.8 vs 51.6

See how they answer your prompt

Same prompt, both models

We send the same short tests to every model several times. These are the ones where GLM 5.3 Flash and Ling 3.1 Flash answered differently, from our runs on October 18, 2026 and October 25, 2026. Long answers are cut short.

Rule that has to last 4 turns

  1. “For the rest of this conversation, write only in lowercase letters and never use the word "the". Reply with "ok" to confirm.”
  2. “Name three famous paintings and who painted them.”
  3. “Explain how a refrigerator keeps food cold, in two sentences.”
  4. “What's the capital of Japan, and what is it famous for? Two sentences.”

GLM 5.3 Flash

Kept the rule 0 of 3 times · this answer broke it in turn 3

Reply 1ok

Reply 2here are three famous paintings: - starry night by vincent van gogh - mona lisa by leonardo da vinci - girl with a pearl earring by johannes vermeer

Reply 3a refrigerator keeps food cold by using a refrigerant that absorbs heat from inside the compartment as it evaporates, then a compressor squeezes that gas so it can release its heat outside through coils on the back. this continuous cycle removes heat from the interior, keeping your food at a consistently low…

Reply 4tokyo is japan's capital and largest city, famous for its blend of ultramodern technology and traditional culture. it's known for landmarks like shibuya crossing, delicious sushi, and being one of the most populous metropolitan areas in the world.

$0.0002 · 1.8s

Ling 3.1 Flash

Kept the rule 3 of 3 times · this answer kept the rule

Reply 1ok

Reply 21. mona lisa, painted by leonardo da vinci 2. starry night, painted by vincent van gogh 3. girl with a pearl earring, painted by johannes vermeer

Reply 3a refrigerator circulates a coolant that absorbs heat from inside and releases it outside via coils. a compressor drives this continuous cycle, which keeps air inside cold.

Reply 4tokyo is japan's capital city. it is famous for its bustling streets, historic temples, and vibrant food culture.

$0.0014 · 14.7s

Best AI model

“Which AI model is the best right now? Reply with one model name only.”

GLM 5.3 Flash

3 different answers in 3 tries

GPT-4

$0.0001 · 1.4s

Ling 3.1 Flash

“gpt-4o” 2 of 3 times

GPT-4o

$0.0003 · 3.8s

Run your own test on both

Asked to draw the same picture

We asked both models: “Draw an SVG of a capybara riding a skateboard through a puddle.” They had to answer with SVG code alone, with no image tools.

GLM 5.3 Flash's SVG drawing of a capybara riding a skateboard through a puddle

GLM 5.3 Flash

Ling 3.1 Flash's SVG drawing of a capybara riding a skateboard through a puddle

Ling 3.1 Flash

Each model’s first drawing, exactly as it wrote the SVG. Nothing was picked or retouched.

Ask both for your own drawing

How smart is each one?

Of the 10 scores both models have, Ling 3.1 Flash is ahead on 8, and 2 are within a point.

Every intelligence score we have

Out of 100, higher is better. GLM 5.3 Flash Ling 3.1 Flash

Overall

  • Intelligence Index

By area

  • Coding

    Ling 3.1 Flash: not scored yet

  • Agentic work

    Ling 3.1 Flash: not scored yet

By field of work

  • Finance & accounting

  • Legal

  • Healthcare & medicine

    Ling 3.1 Flash: not scored yet

  • Economics

  • Engineering

  • Strategy & operations

Benchmarks

  • Hard reasoning · Humanity's Last Exam

  • Science · GPQA Diamond

    Ling 3.1 Flash: not scored yet

  • Scientific coding · SciCode

  • Terminal tasks · Terminal-Bench 4.0

  • Tool use · τ-Bench Banking

    Ling 3.1 Flash: not scored yet

  • Long documents · AA-LCR

Our tests

  • Hallucination test · our test, higher means it made up less

    Ling 3.1 Flash: not scored yet

Test them on your own question

The specs

Spec GLM 5.3 Flash Ling 3.1 Flash
Input price$0.15 per 1M$0.30 per 1M
Output price$0.50 per 1M$0.90 per 1M
Cost per test task$0.2836Not tested
Context window1M262K
Max output131K33K
AcceptsText, ImageText
Open weightsYesYes
LabZ.aiInclusionAI
ReleasedAug 2026Sep 2026
Knowledge cutoffNot publishedNot 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 Flash or Ling 3.1 Flash cheaper?

GLM 5.3 Flash is cheaper. It charges $0.15 per 1M input tokens and $0.50 per 1M output tokens, against $0.30 and $0.90 for Ling 3.1 Flash. Blended 3 parts input to 1 part output, that is $0.24 against $0.45 per 1M tokens.

Are GLM 5.3 Flash and Ling 3.1 Flash open source?

Both are open-weights models: Z.ai and InclusionAI publish the weights, so you can download them and run them on your own hardware, or call them through any host's API. Check each model's license before you ship it.

Which is smarter, GLM 5.3 Flash or Ling 3.1 Flash?

Ling 3.1 Flash scores higher on the Artificial Analysis Intelligence Index, 43.9 against 41.8 for GLM 5.3 Flash. The biggest differences are on SciCode (51.6 vs 56.8) and Humanity's Last Exam (39.9 vs 43.5).

Which has the longer context window?

GLM 5.3 Flash accepts 1M tokens, against 262K for Ling 3.1 Flash.

Can I compare GLM 5.3 Flash 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.

Still deciding? Send one prompt to both and read the answers side by side, with what each one cost. Compare GLM 5.3 Flash and Ling 3.1 Flash →

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 26, 2026.