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GLM-5.3-Flash

Z.ai · released Aug 26, 2026

Small & fastOpen weights

A much cheaper, natively multimodal sibling of GLM-5.3 on a new, smaller architecture. It accepts text, images, video and files, keeps the 1M-token context and targets everyday coding agents and office-document work.

Best for: Cheap multimodal agents · MIT-licensed self-hosting · Everyday coding

Announcement
Intelligence Index
41.8
#16 of 38
Price per 1M tokens
$0.15 in $0.50 out
Blended $0.24 at 3:1
Context window
1M
Up to 128K output
Output speed
51 tokens/s
$0.25 measured cost per task

Capability profile

One 0–100 score per area, placing this model between the weakest and strongest tracked model across that area's benchmarks.

  • Overall68 · #15 of 38

    Based on 2 of 3 benchmarks

  • Coding55 · #17 of 39

    Based on 3 of 5 benchmarks

  • Agents & knowledge work71 · #10 of 40

    Based on 2 of 6 benchmarks

  • Reasoning & science53 · #20 of 39

    Based on 2 of 2 benchmarks

  • Knowledge & reliability67 · #17 of 39

    Based on 2 of 2 benchmarks

  • Vision77 · #9 of 31

    Based on 1 of 2 benchmarks

Benchmark results

All third-party results on record. Rank is among the tracked models that have been tested on that benchmark.

Overall

  • Artificial Analysis Intelligence Index41.8

    #16 of 38· Artificial Analysis

  • Vals IndexNot tested
  • Arena · Text1473 ±5

    #14 of 33· 22,971 votes· Arena

Coding

  • Terminal-Bench 4.032.8%

    #13 of 38· Artificial Analysis

  • SciCode51.6%

    #21 of 38· Artificial Analysis

  • Arena · WebDev1610 ±7

    #17 of 34· 12,868 votes· Arena

  • Vibe Code BenchNot tested
  • Code MigrationNot tested

Agents & knowledge work

  • GDPval-AA57.3

    #9 of 39· Artificial Analysis

  • Arena · Agent-0.4 ±0.5

    #20 of 29· Arena

  • Finance Agent v2Not tested
  • Excel Modeling BenchmarkNot tested
  • Legal Research BenchNot tested
  • Tax Agent BenchNot tested

Reasoning & science

  • Humanity's Last Exam39.9%

    #19 of 39· Artificial Analysis

  • CritPt15.4%

    #20 of 39· Artificial Analysis

  • ARC-AGI-2saturating65.8%

    #9 of 16· Max effort· $0.09 per task· ARC Prize

  • ARC-AGI-3Not tested
  • GPQA Diamondsaturating91.2%

    #13 of 27· Artificial Analysis

Knowledge & reliability

  • AA-Omniscience7

    #17 of 39· Artificial Analysis

  • AA-LCR80.0%

    #22 of 39· Artificial Analysis

Vision

  • MMMU-ProNot tested
  • Arena · Vision1278 ±9

    #8 of 19· 5,479 votes· Arena

Reported by Z.ai

Numbers the lab published at launch, run on its own harness and settings. Useful context, but not independently verified and never used in the rankings on this site.

  • OSWorld 2.059.1%

Specifications

Lab
Z.ai
Released
Aug 26, 2026
Availability
Generally available
Context window
1,000,000 tokens
Max output
128,000 tokens
Accepts
Text, Images, Video, PDFs
Knowledge cutoff
Not published
Weights
Open
Licence
MIT
Parameters
320B total · 18B active
Reasoning control
Always on · effort low to max
API model ID
glm-5.3-flash

Pricing

Input / 1M tokens
$0.15
Cached input / 1M
$0.03
Output / 1M tokens
$0.50
Blended (3:1)
$0.24
Measured cost / task
$0.25

Official sources

  • Announcement
  • Documentation
  • Weights

Closest alternatives

The models nearest to this one on overall score.

  • Claude Haiku 5.5
    Intelligence Index
    43.4
    Price / 1M
    $0.20
    Compare the two
  • Grok 4.7
    Intelligence Index
    46.4
    Price / 1M
    $3
    Compare the two
  • Qwen3.8-Max
    Intelligence Index
    45.4
    Price / 1M
    $3
    Compare the two
  • Kimi K3
    Intelligence Index
    43.6
    Price / 1M
    $6
    Compare the two

23 benchmarks tracked. See methodology and sources.

Model Index

An independent snapshot of frontier SI models and how they perform on third-party benchmarks.

Data as of Oct 8, 2026

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Sources

Benchmark results come from Artificial Analysis, Arena, Vals AI and ARC Prize. Specifications and prices come from each lab's own documentation.

Not affiliated with any lab or evaluator. Names and logos are trademarks of their respective owners and are used only to identify them. Scores change often — check the linked source before making a decision that depends on one.

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