Zhipu Open-Sources GLM-5.3-Flash: 320B MoE Multimodal at 1/10th the Cost

On August 25-26, Zhipu (Z.ai) officially released GLM-5.3-Flash (codename Ox Alpha) and open-sourced it under MIT on Hugging Face. It is the first natively multimodal model in the GLM-5 family and the first open-weight release of the glm5next architecture, positioned as "frontier intelligence + Flash cost," with official claims of 90% cost reduction versus GLM-5.2. It is already available on Hugging Face, Cloudflare Workers AI, and Baseten.

Confirmed

• Architecture: sparse MoE with 320B total / 18B active parameters, combining Kimi Linear hybrid attention with DeepSeek-style sparse and linear attention, native multimodality, 1M-token context, and vLLM support (@NoAfternoon4260, @TheZachMueller)
• Pricing: $0.15/M input, $0.50/M output, $0.03/M cached input (@Zaiorg); @bindureddy notes it undercuts DeepSeek Flash Vision and could become the most widely used open AI model
• Performance: @Zaiorg says it beats GLM-5.2 across all compute tiers on Code Bench and matches Claude Opus 4.8; Artificial Analysis Intelligence Index score of 57, only 3 points below full GLM-5.3, sitting on the Pareto frontier (@ArtificialAnlys)
• Hardware: FP8 weights 328GB, deployed on Ascend hardware without NVFP4 (@zephyrz9); official claim relayed by @orange that 100T+ daily compute supply is fully domestic-chip backed

Unconfirmed

• Third-party benchmark reproductions are pending; performance comparisons mostly come from the official blog and preliminary Artificial Analysis evaluation; the "all-domestic chips" claim lacks independent verification

Why it matters

• With less than half of GLM-5.2's parameters, aggressive pricing, and near-flagship coding performance, it strengthens open-source competition against closed frontier models, alongside Qwen3.8-Flash-Next (@kimmonismus); @Hesamation estimates $0.045 per task, roughly 45x cheaper than Opus 4.8

2026-08-25 ~ 2026-08-27 · 48 related posts

Full story(15 episodes)→

• Episode 1: Zhipu GLM-5.3 Spotted in Codebase, Post-Training Targets K3 and GPT-5.6(2026-08-03, 5 posts)
• Episode 2: Zhipu AI Releases GLM-5.3: Same Base Model, Post-Training Drives a Big Leap(2026-08-14, 51 posts)
• Episode 3: AI Weekly: Grok, Gemini Updates, and Anthropic's Secret Model(2026-08-14, 2 posts)
• Episode 4: Alibaba, Zhipu and DeepSeek Unveil New Models on the Same Day(2026-08-15, 3 posts)
• Episode 5: Zhipu Launches GLM-5.3 API with 50% Coding Boost(2026-08-19, 4 posts)
• Episode 6: GLM-5.3 Scores 60 on AA Intelligence Index, Tops Agentic Index(2026-08-19, 12 posts)
• Episode 7: Zhipu GLM-5.3 Tops DeepSWE at a Fraction of the Cost(2026-08-20, 4 posts)
• Episode 8: Zhipu Open-Sources GLM-5.3-Flash: 320B MoE Multimodal at 1/10th the Cost(2026-08-25, 48 posts)
• Episode 9: GLM-5.3 Flash Benchmarks Hit GPT-5.6 Territory at Fractional Cost(2026-08-27, 7 posts)
• Episode 10: GLM-5.3-Flash Ranks Third Among Open Models at Half of Qwen's Cost(2026-08-27, 2 posts)
• Episode 11: GLM 5.3 Flash Gets 90% Discount Through September(2026-08-27, 2 posts)
• Episode 12: Zai Releases GLM-5.3 Weights with Tiered Access Citing Cybersecurity Capabilities(2026-08-27, 11 posts)
• Episode 13: GLM-5.3 Flash Benchmarks: Near-Frontier Quality at a Fraction of the Cost(2026-08-27, 12 posts)
• Episode 14: Z.ai Releases Open-Weight GLM-5.3 with Day-One Adoption Across Platforms(2026-08-29, 19 posts)
• Episode 15: Zhipu's GLM-5.3 Launches Exclusively on Baseten with Big Coding Gains(2026-09-05, 2 posts)

• [source] Zai Releases GLM-5.3-Flash Model on Hugging Face — zai-org · 2026-08-25
• Zhipu open-sources GLM-5.3-Flash: matches Claude Opus 4.8 at 1/40 the price — 智谱 · 2026-08-26
• [source] Zai Announces GLM-5.3-Flash Pricing: $0.15 per 1M Input Tokens — Zai_org · 2026-08-26
• GLM-5.3-Flash Matches Claude Opus 4.8 on Code Bench — Zai_org · 2026-08-26
• GLM-5.3-Flash: Architecture Enhancements Boost Efficiency — Zai_org · 2026-08-26
• Zai Launches 320B Parameter GLM-5.3-Flash Model — TheZachMueller · 2026-08-26
• Zhipu releases GLM-5.3-Flash: 320B params, MIT open source — TheZachMueller · 2026-08-26
• Zhipu quietly releases glm-5.3-flash model — koltregaskes · 2026-08-26
• Zhipu's GLM-5.3-Flash Model Released on Hugging Face — coder543 · 2026-08-26
• Zhipu releases GLM-5.3-Flash: smaller size, Opus 4.8 level performance — airesearch12 · 2026-08-26
• GLM-5.3-Flash Uses Hybrid Attention to Cut Long-Context Costs — multimodalart · 2026-08-26
• GLM-5.3-Flash adopts sparse + linear attention hybrid architecture — multimodalart · 2026-08-26
• Zhipu Releases GLM-5.3-Flash: Frontier Intelligence, Flash Cost — dydynam · 2026-08-26
• Zhipu Launches GLM 5.3 Flash Vision: 320B Params at 1/40th of Opus 4.8's Price — oran_ge · 2026-08-26
• GLM-5.3 Flash: 320B total params, 18B active, deployed on Ascend — zephyr_z9 · 2026-08-26
• Zhipu Releases GLM 5.3: 100T Daily Compute on Domestic Chips, Costs Slashed by 90% — oran_ge · 2026-08-26
• GLM-5.3-Flash released with benchmark comparisons — elemental-mind · 2026-08-26
• Zhipu Releases GLM 5.3 Flash: 320B Params, 90% Price Cut — oran_ge · 2026-08-26
• Zai Releases GLM-5.3-Flash: 320B MoE with Hybrid Attention and 1M Context — TheZachMueller · 2026-08-26
• Zhipu Releases GLM-5.3-Flash: 320B MoE Open Source Under MIT — realsohamparekh · 2026-08-26
• GLM-5.3-Flash scores 57 on Artificial Analysis, hits Pareto frontier — ollama · 2026-08-26
• GLM-5.3-Flash matches Opus 4.8, 45x cheaper — Hesamation · 2026-08-26
• Zhipu GLM-5.3-Flash revealed: 320B params, MIT open source — op7418 · 2026-08-26
• Z.ai Releases GLM-5.3-Flash: Hybrid Sparse+Linear Attention Architecture — No_Afternoon_4260 · 2026-08-26
• New Qwen and GLM Open Models Benchmark Against Claude Opus — kimmonismus · 2026-08-26
• GLM-5.3-Flash Released: 320B MIT-Licensed Model Outperforms Predecessor — matei_zaharia · 2026-08-26
• Zhipu releases GLM-5.3-Flash: Frontier intelligence at flash cost — 1littlecoder · 2026-08-27
• Zhipu Open Sources GLM-5.3 Flash: Efficient 320B Model Ties Claude Opus — 量子位 · 2026-08-27
• GLM-5.3-Flash released: 320B MoE architecture, MIT licensed — TheZachMueller · 2026-08-27
• Zhipu GLM-5.3-Flash Pricing Revealed: $0.15 Input — bindureddy · 2026-08-27
• Zhipu Releases GLM-5.3-Flash: 320B MoE Model with MIT License — ramagetime · 2026-08-27
• [source] GLM-5.3-Flash Review: 10% Cost, Pareto Frontier Performance — ArtificialAnlys · 2026-08-27
• GLM-5.3-Flash Released: 320B Total Params, Cost-Efficiency on Pareto Frontier — ArtificialAnlys · 2026-08-27
• GLM-5.3-Flash Released: Native Multimodal, 1M Context, 10x Cheaper — ying11231 · 2026-08-27
• Correction: GLM-5.3-Flash features a 1M context window — ArtificialAnlys · 2026-08-27
• GLM-5.3-Flash Released: 1M Context & Open Weights — qinzytech · 2026-08-27
• GLM-5.3-Flash Launches: 1M Context for $0.15 with Hybrid Attention — gharik · 2026-08-27
• ZAI Releases GLM-5.3-Flash on Chinese Chips — AccBalanced · 2026-08-27
• Zai launches GLM-5.3 Flash on Cloudflare: First multimodal GLM with 1M context — michellechen · 2026-08-27
• GLM-5.3-Flash released: 320B params, 1M context, 90% cheaper — baseten · 2026-08-27
• Z.AI Unveils GLM-5.3-Flash: 320B Native Multimodal Model with 90% Cost Cut — baseten · 2026-08-27
• Zhipu Releases GLM-5.3-Flash: Ultra-Low Cost, Powered by Domestic Chips — 数字生命卡兹克 · 2026-08-27
• Zhipu releases GLM 5.3 Flash model — Hacubu · 2026-08-27
• Zhipu releases GLM-5.3-Flash: 1M context on domestic chips — 智东西 · 2026-08-27
• Zhipu GLM-5.3-Flash: Matches Opus 4.8 at 1/40 the Cost, Powered by Domestic Chips — vista8 · 2026-08-27

3 near-duplicate retellings: wandb · markjeffrey · SumitGup