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Zhipu AIOpen Source
GLM-5
GLM-5 is a large-scale foundation model developed by Zhipu AI. It has an extremely large scale with approximately 7.4 trillion parameters and is a chat-specific model that supports a long context window of 200K.
Parameters
7440.0B
Context Window
200K
License
MIT
Release Date
2026-02-11
API Pricing
Input Price (per 1M tokens)
$1
Output Price (per 1M tokens)
$
Billing Mode: standard
Strengths
- ・Over 7.4-trillion massive parameters
- ・Supports long 200K context
- ・High openness via MIT license
Weaknesses
- ・Extremely large 1.51TB file size
- ・Requires very high compute resources to run
- ・Inference cost scales with model size
Use Cases
- ・Advanced conversational AI chatbots
- ・Ultra-long document analysis and summarization
- ・R&D for large foundational models
Deep Analysis
Parameters
744B total / 40B active MoE
Arena Elo
1452-1456
#1 open-weight
SWE-Bench Verified
77.8%
AIME 2025
92.7%
Pricing
$1.00/$3.20 per 1M tokens
License
MIT
Training Hardware
Huawei Ascend 910B
Release Date
February 11, 2026
Strengths
- ・#1 open-weight on LMArena (1452 Elo)
- ・SWE-Bench 77.8% beats Gemini 3 Pro and GPT-5.2
- ・MIT license
- ・Trained on Huawei Ascend (zero Nvidia)
- ・Strong agentic performance (TAU-Bench 98%)
Weaknesses
- ・Text-only, no multimodal
- ・744B requires 8x H200 for self-hosting
- ・GPQA trails frontier by 5-10 points
Competitor Comparison
| Model | Arena | SWE | GPQA | Price |
|---|---|---|---|---|
| Claude Opus 4.6 | 1548 | 57.3 Pro | 91.3 | $5/$25 |
| GPT-5.2 | 75.4 | $2.50/$10 | ||
| Gemini 3 Pro | ~1449 | 76.2 | $1.25/$5.00 |
Sources
Analysis generated: 2026-05-24