| Spesifikasi | Nilai |
|---|---|
| Pembuat | Z.ai (Zhipu AI) |
| Parameter | GLM-4.5: 355B keseluruhan, 32B aktif; GLM-4.5-Air: 106B keseluruhan, 12B aktif |
| Panjang konteks | 128K token |
| Output maksimum | 96K token |
| Lesen | MIT |
Daripada halaman dokumentasi Z.ai dan kad model Hugging Face; angka carta ialah purata kategori yang dicetak pada carta Z.ai. Dokumentasi hanya menyatakan harga pelancaran sebagai 'bermula dari' $0.2 input dan $1.1 output setiap juta token. · sumber
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored as launched (GLM-4.5 flagship, 28 Jul 2025; GLM-4.5-Air is the 106B/12B-active tier, $0.20/$1.10). Reasoning null: no Artificial Analysis Intelligence Index entry on the 2026 scale at launch and no restatement found; Z.ai's headline was 3rd of 13 models on a 12-benchmark average (63.2; Air 6th, 59.8), not comparable to the anchors. Coding null: no Terminal-Bench 4.0 (Z.ai reported SWE-bench Verified 64.2%, Terminal-Bench 2.0 not scored here). Context 128K tokens (Z.ai docs) -> 1. Price $0.60 in / $2.20 out per 1M (The Batch, Aug 2025; Z.ai pricing page) = $1.00 blended at 3:1 -> 5. Speed null: none published at launch. Modalities: text only -> 1. Reviews: Simon Willison (notes no independent benchmarks yet), The Batch, The Decoder, a UN University C3 hands-on; independent measurement at launch was thin.[1]
Ivan Fioravanti shared a video of the mlx-community/GLM-4.5-Air-4bit quantized model running on a M4 Mac with 128GB of RAM, and it looks like a very strong contender for a local model that can write useful code.
On BrowseComp (web browsing with multi-step searches), GLM-4.5 (26.4 percent accuracy) outperformed Claude 4 Opus (18.8 percent accuracy) but trailed o3 (49.7 percent accuracy).
GLM-4.5 placed third out of 13 large language models across 12 agent, reasoning, and coding benchmarks with 63.2 points; the resource-efficient GLM-4.5-Air took sixth place with 59.8 points.
After testing it myself with a nearly 2000-line codebase, I can confirm that this model delivers on its promise of handling large contexts with remarkable performance.
| GLM-4.5: Reasoning, Coding, and Agentic Abililties · 28 Jul 2025 | 0.60 |
|---|---|
| GLM-4.5: The Open-Source Model That Challenges Proprietary AI Dominance · 4 Ogo 2025 | 0.70 |
| GLM-4.5, an Open, Agentic Contender · 6 Ogo 2025 | 0.30 |
| Zhipu AI's GLM-4.5 is yet another open-source Chinese LLM closing the gap with Western models · 17 Ogo 2025 | 0.50 |
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Entri pertama sentiasa sumber pin. Keyakinan keseluruhan ialah purata berpemberat bagi sejauh mana setiap rujukan menyokong masa mula dan tamat yang digunakan di atas; sesebuah rujukan diambil kira separuh kurang bagi setiap 180 hari lebih lama daripada yang terbaharu.
Hantaran pelancaran GLM-4.5 oleh Z.ai bertarikh 28 Julai 2025 (seperti yang dipetik Wikipedia[2]), dan berat bagi GLM-4.5 dan GLM-4.5-Air dimuat naik ke Hugging Face[6] pada hari itu (04:44 UTC dan 09:14 UTC). Repositori dicipta lebih awal, pada 20 Julai, dan Epoch AI menyenaraikan 3 Ogos dan 20 Julai masing-masing, yang bukan keluaran awam.
Cites Z.ai's "GLM-4.5: Reasoning, Coding, and Agentic Abilities" post dated 28 July 2025 and records the international rebrand to Z.ai around this release.[1]
Independent report: deeper-not-wider architecture, third of 13 models on 12 benchmarks, TAU-Bench 70.1, AIME 24 91.0, SWE-bench Verified 64.2, and the companion GLM-4.5V.[1]
The technical report (submitted 8 August 2025): a 355B total and 32B activated parameter MoE model with a hybrid reasoning method supporting thinking and direct-response modes.[1]
Independent analysis: 128K context and 96K output, API prices of $0.60/$0.11/$2.20 and $0.20/$0.03/$1.10 per million tokens, 22T training tokens, BrowseComp 26.4 against Claude 4 Opus 18.8, SWE-bench Verified 64.2.[1]
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Tajuk asal: GLM-4.5 and GLM-4.5-Air Released
Purata 12 penanda aras Z.ai daripada carta pembuat di docs.z.ai[1]; carta mengikut kategori terdapat dalam media.
| Model | Purata 12 penanda aras |
|---|---|
| o3 | 65.0 |
| Grok 4 | 63.6 |
| GLM-4.5 | 63.2 |
| Claude 4 Opus | 60.9 |
| o4-mini (high) | 60.4 |
| GLM-4.5-Air | 59.8 |
| Claude 4 Sonnet | 59.2 |
| Gemini 2.5 Pro | 58.8 |
| Qwen3-235B-Thinking-2507 | 57.2 |
| DeepSeek-R1-0528 | 55.9 |
| Kimi K2 | 53.1 |
| GPT-4.1 | 48.7 |
| DeepSeek-V3-0324 | 46.3 |