Z.ai (GLM)

GLM 5.3 FlashX

z-ai/glm-5.3-flashx

Released Sep 18, 2026MIT

ThinkingToolsVisionopen weights

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...

Run in ChatOSS Cloud Plans

Cost / 1M tokens

Low usage

$0.37

input

$0.09

cached input

$1.25

output

Context Window

Up to 131K max output

Architecture

18B active MoE · 1M context

text + image + video → text

Quickstart & API

z-ai/glm-5.3-flashx

Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

18B active parametersMultimodal vision + videoMIT licenseHigh efficiency ($0.15/M)

Recommended Workloads in ChatOSS

Fast terminal agents
Multimodal debugging
Everyday coding workflows

Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How GLM 5.3 FlashX compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →

GLM 5.3 FlashXDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro

Benchmark (Metric)	GLM 5.3 FlashX	DeepSeek V4.1 Flash	GLM 5.3	Kimi K3.1 Pro	Claude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)	36.9%	63.2%	58.3%	65%	74.1%
SWE-Bench Verified (%)	92%	91.5%	95.4%	94.8%	97%
DeepSWE v1.1 (Pass@1 %)	63.4%	77%	69%	73.5%	74.2%
Vibe Code Bench v1.1 (%)	30.76%	87.7%	78.1%	88.4%	90.3%
Terminal-Bench 4.0 (%)	32.8%	42.3%	42%	46.2%	65.2%
Code Migration (%)	20.52%	45.6%	44.2%	52%	66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)	—	39.5	44.8	55.1	57.6
Input Price (/ 1M tokens)	$0.37	$0.15	$1.40	$2.00	$4.00
Output Price (/ 1M tokens)	$1.25	$0.60	$4.40	$10.00	$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

36.9%

SWE-Bench Verified

Vals AI · Claude Code

92%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

63.4%

Vibe Code Bench v1.1

Vals.ai · OpenHands

30.76%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

32.8%

Terminal-Bench 2.1

Vals.ai · Claude Code

84.3%

Code Migration

Vals.ai · Vals evaluation harness

20.52%

AutomationBench

Artificial Analysis v4.3

60.4%

GPQA Diamond (Pass@1)

Benchmark Audit

86.4%

Humanity's Last Exam (Pass@1)

Artificial Analysis / Audit

39.9%

Active Provider Endpoints (1)

Upstream inference providers serving GLM 5.3 FlashX, with per-provider pricing, context limits, quantization, and 24-hour uptime.

Provider	Input / 1M	Output / 1M	Cache Read / 1M	Context	Max Output	Quantization	Uptime (24h)
Z.AIcache z-ai/fp8	$0.37	$1.25	$0.09	1M	131K	fp8	100.0%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

include_reasoningmax_tokensreasoningreasoning_effortresponse_formattemperaturetool_choicetoolstop_ktop_p

Deep-Dive Benchmarks & Teardowns

Independent benchmark analysis and real-world agent billing teardowns featuring GLM 5.3 FlashX.

2026-09-21 · 11 min read

GLM 5.3 Flash vs. DeepSeek V4.1 Flash: which is better at agentic coding?

Both labs ship a million-token context, MIT weights, and a ~$0.15-per-million price tag. On the independent harnesses that have actually run both models — vals.ai's Vibe Code Bench and Terminal-Bench 2.1, BenchLM's Vibe Code Bench 1-100, and Artificial Analysis' v4.3 index — DeepSeek V4.1 Flash wins agentic coding, and by a wider margin than either vendor's own table suggests.

Read article →

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