Z.ai

GLM 5.3 Flash

Z.ai's 320B multimodal coding model pairs 18B active parameters with a one-million-token context window for code, tool use, and visual workflows.

previously ox-alphatext + image inputtext output

Replaces GLM 4.7 Flash: input $0.0735 → $0.1575 per 1M (+114%), output $0.42 → $0.525 per 1M (+25%), context 200K → 1M.

Run this model

zai/glm-5.3-flash

const response = await fetch('https://api.minirouter.sh/v1/chat/completions', {  method: 'POST',  headers: {    Authorization: `Bearer ${process.env.MINIROUTER_KEY}`,    'Content-Type': 'application/json',  },  body: JSON.stringify({    model: 'zai/glm-5.3-flash',    messages: [{ role: 'user', content: 'Why is the sky blue?' }],  }),}) const data = await response.json()console.log(data.choices[0].message.content)
Read docs →

Model overview

Input / 1M
$0.1575
All-in MiniRouter rate
Output / 1M
$0.525
All-in MiniRouter rate
Context
1M
tokens
Max output
131K
tokens
Architecture
320B / 18B
total / active
Tested as
ox-alpha
OpenCode and OpenRouter
Released
26 Aug 2026
publisher release

The model behind ox-alpha

Fast enough to be the default.

Z.ai says it tested GLM-5.3-Flash anonymously as ox-alpha on OpenCode and OpenRouter, where it became the most popular model of the week.

The charts below are publisher-reported evidence, not MiniRouter-run benchmarks. The price shown by MiniRouter is the live all-in route price.

Cost / intelligence

On the reported Pareto frontier.

The launch chart places the discounted run at an Artificial Analysis Intelligence Index score of 57 and $0.045 per task.

Index score
57
Discounted cost / task
$0.045
Scatter plot of Artificial Analysis Intelligence Index score against cost per task. GLM-5.3-Flash is highlighted at 57 points and $0.045 per task on the Pareto frontier.
Source image cites Artificial Analysis, updated Aug 26, 2026. Reproduced in the Z.ai announcement; MiniRouter did not reproduce the evaluation.
View chart data
Text summary of the Artificial Analysis price-performance chart
FieldReported valueContext
ModelGLM-5.3-FlashAnonymous test name: ox-alpha
Intelligence Index57Artificial Analysis v4.1.1
Cost per task$0.045Discounted run shown in chart
Comparison field59 modelsLogarithmic cost axis

Six evaluations

Coding and agent benchmarks

Z.ai reports gains over GLM-5.2 on every shown evaluation, including 63.4 vs 46.2 on DeepSWE and 48.8 vs 26.2 on AutomationBench.

Grouped bar charts comparing GLM-5.3-Flash with GLM-5.2 and several frontier models across six coding and agent benchmarks.
Publisher-reported in the Z.ai announcement. Cross-vendor harness equivalence is not independently confirmed.
View chart data
Complete values from the six-benchmark GLM-5.3-Flash chart
BenchmarkGLM-5.3-FlashGLM-5.2DeepSeek-V4-Vision-ExpClaude Opus 4.8GPT-5.6 TerraGemini 3.7 Flash
Terminal Bench 2.184.381.083.985.087.485.8
DeepSWE v1.163.446.259.358.069.665.3
Agents' Last Exam26.320.427.327.028.0Not reported
AutomationBench v1.0.648.826.238.841.037.252.3
HLE with tools55.354.755.157.9Not reportedNot reported
GDPval-AA v2177315041675158215711527

Z.ai Code Bench v1.0

Performance by reasoning effort

GLM-5.3-Flash leads GLM-5.2 at every reported effort level. At max effort it reaches 29.0% accuracy, near Claude Opus 4.8 at 29.5%.

Line chart plotting Z.ai Code Bench accuracy against average output tokens per task at different effort levels. GLM-5.3-Flash reaches 29 percent at max effort.
Z.ai Code Bench v1.0, evaluated by Z.ai on Claude Code 2.1.207. Values and methodology are publisher-reported.
View chart data
Complete plotted values from the Z.ai Code Bench effort-level chart
Model and effortAccuracyAverage output tokens per task
GLM-5.3 · low24.6%about 49K
GLM-5.3 · high31.4%about 51K
GLM-5.3 · max34.5%about 75K
GLM-5.2 · non-thinking19.4%about 44K
GLM-5.2 · high20.8%about 49K
GLM-5.2 · max23.4%about 95K
GLM-5.3-Flash · low21.4%about 42K
GLM-5.3-Flash · high28.0%about 71K
GLM-5.3-Flash · max29.0%about 139K
Claude Fable 5 · low28.8%about 32K
Claude Fable 5 · high35.6%about 58K
Claude Fable 5 · max39.5%about 115K
Claude Opus 4.8 · low21.1%about 31K
Claude Opus 4.8 · high23.4%about 51K
Claude Opus 4.8 · max29.5%about 120K

One route, standard clients.

Authenticate with a MiniRouter bearer key. Caller-provided upstream credentials are not used on this route.

Read model setup docs →
Base URLhttps://api.minirouter.sh/v1
Model IDzai/glm-5.3-flash
Endpoints
/v1/chat/completions/v1/messages/v1/responses
Parameters

max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning

Configured provider

Priority follows the live catalog order.

Input: text, image · Output: text

ProviderPriorityInput / 1MOutput / 1MParametersAccess
vercel
1$0.1575$0.525max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoningMiniRouter balance