Model vs model

GLM 5.3 Flash vs Hy3

Pick GLM 5.3 Flash for agentic work, terminal tasks, coding and image inputs. It leads Hy3 on every shared benchmark, scoring 41.8 on the Intelligence Index against 25.3, and costs slightly less at $0.24 per 1M tokens blended against $0.25. Hy3, from Tencent, suits teams already committed to Tencent's stack.

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

At a glance

Longer bar means the bigger number.

Blended price · per 1M tokens, lower is better

GLM 5.3 Flash$0.24
Hy3$0.25

Intelligence Index · Artificial Analysis, higher is better

GLM 5.3 Flash41.8
Hy325.3

Context window · tokens it can read at once

GLM 5.3 Flash1M
Hy3262K

Where they sit among all 44 models

GLM 5.3 Flash ranks 15th of the 43 models with an Intelligence Index, Hy3 28th. 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.

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 $0.25 per 1M tokens blended)
  • you want the higher overall score (41.8 vs 25.3)
  • you care about Terminal-Bench 4.0 (terminal tasks): 32.8 vs 0.5
  • you care about agentic work: 50.9 vs 24.1

See how they answer your prompt

How smart is each one?

Of the 14 scores both models have, GLM 5.3 Flash is ahead on every one.

Every intelligence score we have

Out of 100, higher is better. GLM 5.3 Flash Hy3

Overall

  • Intelligence Index

By area

  • Coding

  • Agentic work

By field of work

  • Finance & accounting

  • Legal

  • Healthcare & medicine

    Hy3: not scored yet

  • Economics

  • Engineering

  • Strategy & operations

Benchmarks

  • Hard reasoning · Humanity's Last Exam

  • Science · GPQA Diamond

  • Scientific coding · SciCode

  • Terminal tasks · Terminal-Bench 4.0

  • Tool use · τ-Bench Banking

  • Long documents · AA-LCR

Our tests

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

    Hy3: not scored yet

  • Rule that has to last 4 turns · our test, % of tries passed

    Hy3: not scored yet

  • Three bullets, no letter e · our test, % of tries passed

    Hy3: not scored yet

Test them on your own question

The specs

Spec GLM 5.3 Flash Hy3
Input price$0.15 per 1M$0.14 per 1M
Output price$0.50 per 1M$0.58 per 1M
Cost per test task$0.2836Not tested
Context window1M262K
Max output131K262K
AcceptsText, ImageText
Open weightsYesYes
LabZ.aiTencent
ReleasedAug 2026Jul 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 Hy3 cheaper?

GLM 5.3 Flash is cheaper. It charges $0.15 per 1M input tokens and $0.50 per 1M output tokens, against $0.14 and $0.58 for Hy3. Blended 3 parts input to 1 part output, that is $0.24 against $0.25 per 1M tokens.

Which is smarter, GLM 5.3 Flash or Hy3?

GLM 5.3 Flash scores higher on the Artificial Analysis Intelligence Index, 41.8 against 25.3 for Hy3. The biggest differences are on Terminal-Bench 4.0 (32.8 vs 0.5) and Agentic work (50.9 vs 24.1).

Which has the longer context window?

GLM 5.3 Flash accepts 1M tokens, against 262K for Hy3.

Can I compare GLM 5.3 Flash and Hy3 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 Hy3 →

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.