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ZAIReleased on Aug 26, 2026

GLM-5.3-Flash: API Pricing, Context Window & Benchmarks

GLM-5.3-Flash is a language model from ZAI, released in August 2026, with multimodal input, a 1M-token context window, and pricing from $0.150/M input, $0.030/M cached input, $0.500/M output.

GLM-5.3-Flash is the first natively multimodal model in Z.AI's GLM-5 series: a 320B-total / 18B-active MoE with hybrid sparse and linear attention (plus mHC), a 1M-token context window, and strong coding and long-horizon agent performance.

Input
TextImageVideo
Output
Text

GLM-5.3-Flash benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

How GLM-5.3-Flash performs across real-world prompt categories.

Performance by conversation depth

How GLM-5.3-Flash holds up as conversations get longer.

Quality Tracker

GLM-5.3-Flash Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Wed Aug 26 2026
Notice missing or incorrect data?

GLM-5.3-Flash pricing

Providers

GLM-5.3-Flash starts at $0.150 per million input tokens and $0.500 per million output tokens via ZAI. Reused prompt prefixes cost $0.0300 per million cached input tokens.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
ZAI logoZAI
$0.150$0.0300$0.5001.0M/131.1K
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

GLM-5.3-Flash model size

GLM-5.3-Flash has 320 billion parameters. See how it compares to other models in the same parameter range.

Parameters
320BMoE
Frontier (200B+)
320B
1B7B70B405B

GLM-5.3-Flash context window

Input and output token limits for GLM-5.3-Flash, plus how it ranks on long-context understanding.

InputOutput
1Mtokens
131Ktokens
1.5k pages of text
1M
8K128K1M

GLM-5.3-Flash API

Available from the model provider

GLM-5.3-Flash is available from ZAI. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

GLM-5.3-Flash latency

GLM-5.3-Flash time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

GLM-5.3-Flash examples

Recent arena outputs from GLM-5.3-Flash, picked from the highest-ranked matchups.

GLM-5.3-Flash license

GLM-5.3-Flash is released under the MIT license, which permits commercial use, has 320.0B parameters.

License
MIT
Commercial use allowed
Parameters
320.0B

MIT License - allows commercial use

GLM-5.3-Flash resources

Official sources for GLM-5.3-Flash: api documentation, official playground, official launch post, source repository, model weights.

GLM-5.3-Flash vs other models

The most-compared alternatives to GLM-5.3-Flash are Claude Opus 4.8, Muse Spark 1.1, Claude Opus 4.7. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like GLM-5.3-Flash

Models ranked just above and below GLM-5.3-Flash by LLM Stats score.

 

Claude Opus 4.8

Score pending
 

Muse Spark 1.1

Score pending
 

Claude Opus 4.7

Score pending
 

Gemini 3.6 Flash

Score pending
 

Kimi K3

Score pending
 

Qwen3.8-27B

Score pending

FAQ

Common questions about GLM-5.3-Flash.

When was GLM-5.3-Flash released?

GLM-5.3-Flash was released on August 26, 2026 by ZAI. This is the official GLM-5.3-Flash release date tracked on LLM Stats.

How much does GLM-5.3-Flash cost?

GLM-5.3-Flash pricing starts at $0.15 per million input tokens, $0.03 per million cached input tokens, $0.50 per million output tokens via ZAI, the lowest price among tracked providers.

Is GLM-5.3-Flash available via API?

Yes, GLM-5.3-Flash is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

How big is GLM-5.3-Flash?

GLM-5.3-Flash has 320 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created GLM-5.3-Flash?

GLM-5.3-Flash was created by ZAI.

What is the license for GLM-5.3-Flash?

GLM-5.3-Flash is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

Is GLM-5.3-Flash multimodal?

Yes, GLM-5.3-Flash is multimodal and can accept both text and images as input.

Where can I use GLM-5.3-Flash?

GLM-5.3-Flash is available through 1 provider including ZAI.

Where is the GLM-5.3-Flash paper or technical report?

GLM-5.3-Flash has a paper or technical report available at https://z.ai/blog/glm-5.3-flash. Use that source for architecture, training, release and evaluation details.

What models should I compare GLM-5.3-Flash against?

Common GLM-5.3-Flash comparisons include GLM-5.3-Flash vs Claude Opus 4.8, GLM-5.3-Flash vs Muse Spark 1.1, GLM-5.3-Flash vs Claude Opus 4.7. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.