GLM-5.3-Flash benchmarks, pricing and specs
GLM-5.3-Flash is a Z.ai model released on August 26, 2026 that takes text, image and video input and produces text. It costs $0.15 per 1M input tokens and $0.50 per 1M output tokens and accepts up to 1,000,000 tokens of context. It scores 1475 Elo on Arena Text, #21 of 49 current models (Arena, measured October 8, 2026).
- Per 1M input tokens
- $0.15
- Per 1M output tokens
- $0.50
- Context window
- 1M
- Arena Text
- 1475 Elo · #21/49
Data verified October 13, 2026 · Dataset 2026-10-13
Key facts
- Provider
- Z.ai
- Model family
- GLM-5
- Release date
- August 26, 2026
- Status
- Current
- Access
- API and open weights
- API model id
- glm-5.3-flash
- Context window
- 1,000,000 tokens
- Max output
- 128,000 tokens
- Input
- text, image, video
- Output
- text
- Task families
- text, multimodal
- Declared capabilities
- reasoning, coding, agentic coding, image understanding, video understanding, document understanding
GLM-5.3-Flash pricing
It is the #5 cheapest of 47 current text models priced per 1M input tokens.
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Z.ai's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
| Benchmark | Score | Rank | Measured | Source |
|---|---|---|---|---|
| Arena Text | 1475 Elo | #21 of 49 | October 8, 2026 | Arena · 2026-10-12 |
| GPQA Diamond | 90.2% | #27 of 40 | October 12, 2026 | Epoch AI · 2026-10-12 |
| FrontierMath Tiers 1-3 (v2) | 55.8% | #31 of 40 | October 12, 2026 | Epoch AI · 2026-10-12 |
Strengths, cautions and best uses
Strengths
- The first natively multimodal GLM-5 model: it reads video, images, text and files and returns text
- 320B total and 18B active parameters; Zhipu says hybrid sparse and linear attention cuts attention compute 3.01x and KV cache 4.44x against GLM-5.3
- MIT-licensed weights, and an API list price of $0.15 input and $0.50 output per 1M tokens
Cautions
- Thinking cannot be disabled
- A faster GLM-5.3-FlashX is a separate model id at $0.37 input and $1.25 output per 1M tokens
Best for
- Low-cost coding from screenshots or screen recordings
- Document and research agents on a budget
Alternatives to GLM-5.3-Flash
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
Cheaper, similar score
MiMo-V2.6-Flash
- 7% cheaper per 1M input tokens, $0.14 vs $0.15
- 24 points lower on Arena Text, 1451 vs 1475
- From Xiaomi MiMo
GPT-5.6 Luna
- 33% more per 1M input tokens, $0.20 vs $0.15
- 23 points lower on Arena Text, 1452 vs 1475
- From OpenAI
Claude Haiku 5.5
- 33% cheaper per 1M input tokens, $0.10 vs $0.15
- 0.6 points lower on GPQA Diamond, 89.6 vs 90.2
- From Anthropic
GPT-4.1 nano
- 33% cheaper per 1M input tokens, $0.10 vs $0.15
- 153 points lower on Arena Text, 1322 vs 1475
- From OpenAI
Compare GLM-5.3-Flash with
- GLM-5.3-Flash vs Claude Haiku 5.5
- GLM-5.3-Flash vs Claude Sonnet 5
- GLM-5.3-Flash vs DeepSeek-V4.1-Flash
- GLM-5.3-Flash vs DeepSeek-V4-Pro
- GLM-5.3-Flash vs Gemini 3.5 Flash-Lite
- GLM-5.3-Flash vs Gemini 3.7 Flash
- GLM-5.3-Flash vs Gemini 3.8 Flash
- GLM-5.3-Flash vs Gemini 3 Flash Preview
- GLM-5.3-Flash vs GPT-4.1 nano
- GLM-5.3-Flash vs GPT-5.4
- GLM-5.3-Flash vs GPT-5.6 Luna
- GLM-5.3-Flash vs GPT-5.6 Terra
- GLM-5.3-Flash vs GPT-6 Astra
- GLM-5.3-Flash vs GPT-6 Luna
- GLM-5.3-Flash vs GPT-6 Sol
- GLM-5.3-Flash vs Granite 4.2 30B
- GLM-5.3-Flash vs Grok 4.20
- GLM-5.3-Flash vs Grok 4.5
- GLM-5.3-Flash vs Grok 4.6
- GLM-5.3-Flash vs Mercury 2.5
- GLM-5.3-Flash vs MiMo-V2.6-Flash
- GLM-5.3-Flash vs MiMo-V2.6-Pro
- GLM-5.3-Flash vs Qwen3.8-Omni-Flash
- GLM-5.3-Flash vs GLM-5.3
Other GLM-5 models
GLM-5.3-Flash FAQ
How much does GLM-5.3-Flash cost?
GLM-5.3-Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens at the standard tier. It is the #5 cheapest of 47 current text models priced per 1M input tokens. Source: Z.ai, verified October 13, 2026.
What is the context window of GLM-5.3-Flash?
GLM-5.3-Flash accepts up to 1,000,000 tokens of context. It can return up to 128,000 tokens in one response. That ranks #25 of 57 current text models by context length.
How does GLM-5.3-Flash score on independent benchmarks?
GLM-5.3-Flash scores 1475 Elo on Arena Text, #21 of 49 current models (Arena, measured October 8, 2026), 90.2% on GPQA Diamond, #27 of 40 current models (Epoch AI, measured October 12, 2026) and 55.8% on FrontierMath Tiers 1-3 (v2), #31 of 40 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not Z.ai's own launch figures.
Is GLM-5.3-Flash open source or API only?
GLM-5.3-Flash is available both through Z.ai's API and as open weights you can run yourself.
What are the best alternatives to GLM-5.3-Flash?
The closest current alternatives by price and measured performance are MiMo-V2.6-Flash (7% cheaper per 1M input tokens, $0.14 vs $0.15), GPT-5.6 Luna (33% more per 1M input tokens, $0.20 vs $0.15), Claude Haiku 5.5 (33% cheaper per 1M input tokens, $0.10 vs $0.15) and GPT-4.1 nano (33% cheaper per 1M input tokens, $0.10 vs $0.15).
Sources
- GLM-5.3-Flash documentation · Z.ai · official · verified October 13, 2026
- Z.ai release notes · Z.ai · official · verified October 13, 2026
- Z.ai API pricing · Z.ai · official · verified October 13, 2026
- Epoch AI Benchmarking Hub data (benchmark_data.zip) · Epoch AI · independent · verified October 12, 2026 · CC-BY-4.0
- Arena leaderboard dataset (lmarena-ai/leaderboard-dataset) · Arena · independent · verified October 12, 2026 · CC-BY-4.0
Cite this page
Van Data Team. "GLM-5.3-Flash Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-13. https://vandatateam.com/ai-model-benchmarks/glm-5-3-flash
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
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