Model profile
Z AI
New in 2026

Z.ai: GLM 5.3 Flash

Z.ai: GLM 5.3 Flash is a budget-priced multimodal generalist from Z AI with balanced runtime profile, large context posture, and the clearest fit around long-context research / agent workflows.

Best for: Long-context research / Agent workflowsBalanced latencyLarge contextBudget pricing
Intelligence
57.5

Benchmark blend

Coding
71.5

Dev workflow signal

Context
1311K Tokens

Large

Input Price
$0.15

Budget tier

Decision snapshot
71

Z.ai: GLM 5.3 Flash currently reads as a budget multimodal option with large context and a balanced runtime profile.

Overall profile
Strong all-rounder
Best for
Long-context research / Agent workflows
Latency tier
Balanced
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
57.5
58

General reasoning and benchmark headroom.

Situational
Speed
50 tok/s
57

TTFT 1.11s

Situational
Context
1311K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$0.15
86

$0.50 output / 1M

Efficient

Editorial Profile

Z.ai: GLM 5.3 Flash in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Strong all-rounderCoding score 72Math score N/AVision enabled

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

Identity

Z AI multimodal profile

Positioning

Long-context research / Agent workflows with large context and balanced runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Coding indicators point to a strong developer workflow fit.

  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency is balanced rather than ultra-fast, which is fine for most workflows but not the snappiest tier.

Best fit
  • Code generation, refactors, test writing, and tool-assisted debugging.

  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
57.5
GPQA
91.2%
HLE
39.9%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
71.5
SciCode
46.1%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

LCR
78.0%

Extra benchmark cuts are not available for this category yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1311K Tokens
Vision
Enabled
Modalities
image, text, video
Tokenizer
Other
Max Completion
131072
Moderation
No
Supported Parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Input Modalities
imagetextvideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$0.15
Output
per 1M output tokens
$0.50
Blended
AA 3:1 mix
$0.24

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Cache Read
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.