Z.AI: GLM 4.5

Z.AI: GLM 4.5

GLM-4.5

GLM 4.5 is the latest flagship foundation model, purpose-built for agent-driven applications. Built on a Mixture-of-Experts (MoE) architecture, it supports context lengths of up to 128K tokens and offers major improvements in reasoning, code generation, and agent alignment. The model features a hybrid inference system with two modes: a “thinking mode” for complex reasoning and tool use, and a “non-thinking mode” for fast, real-time responses. Reasoning behavior can be easily managed with a simple boolean toggle.

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Creator zAI
Release Date July, 2025
License MIT
Context Window 131,072
Image Input Support No
Open Source (Weights) Yes
Parameters 355B, 32B active at inference time
Model Weights Click here

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MiniMax: MiniMax 01

MiniMax: MiniMax 01

Minimax-01

MiniMax-01 integrates MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding, combining multimodal strengths in a single model. It features 456B parameters, with 45.9B active per inference, and supports context lengths of up to 4 million tokens.

The text component uses a hybrid architecture that blends Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The vision component follows a “ViT-MLP-LLM” framework, trained on top of the text model to enable advanced multimodal reasoning.

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Creator MiniMax
Release Date January, 2025
License MiniMax Model License Agreement
Context Window 1,000,192
Image Input Support No
Open Source (Weights) Yes
Parameters 456B, 45.9B active at inference time
Model Weights Click here

Performance Benchmarks

Core Academic Benchmarks

Tasks GPT-4o (11-20) Claude-3.5-Sonnet (10-22) Gemini-1.5-Pro (002) Gemini-2.0-Flash (exp) Qwen2.5-72B-Inst. DeepSeek-V3 Llama-3.1-405B-Inst. MiniMax-Text-01
General
MMLU* 85.7 88.3 86.8 86.5 86.1 88.5 88.6 88.5
MMLU-Pro* 74.4 78.0 75.8 76.4 71.1 75.9 73.3 75.7
SimpleQA 39.0 28.1 23.4 26.6 10.3 24.9 23.2 23.7
C-SimpleQA 64.6 56.8 59.4 63.3 52.2 64.8 54.7 67.4
IFEval (avg) 84.1 90.1 89.4 88.4 87.2 87.3 86.4 89.1
Arena-Hard 92.4 87.6 85.3 72.7 81.2 91.4 63.5 89.1
Reasoning
GPQA* (diamond) 46.0 65.0 59.1 62.1 49.0 59.1 50.7 54.4
DROP* (F1) 89.2 88.8 89.2 89.3 85.0 91.0 92.5 87.8
Mathematics
GSM8k* 95.6 96.9 95.2 95.4 95.8 96.7 96.7 94.8
MATH* 76.6 74.1 84.6 83.9 81.8 84.6 73.8 77.4
Coding
MBPP + 76.2 75.1 75.4 75.9 77.0 78.8 73.0 71.7
HumanEval 90.2 93.7 86.6 89.6 86.6 92.1 89.0 86.9

Ruler

Model 4k 8k 16k 32k 64k 128k 256k 512k 1M
GPT-4o (11-20) 0.970 0.921 0.890 0.888 0.884
Claude-3.5-Sonnet (10-22) 0.965 0.960 0.957 0.950 0.952 0.938
Gemini-1.5-Pro (002) 0.962 0.960 0.960 0.958 0.938 0.917 0.916 0.861 0.850
Gemini-2.0-Flash (exp) 0.960 0.960 0.951 0.957 0.937 0.860 0.797 0.709
MiniMax-Text-01 0.963 0.961 0.953 0.954 0.943 0.947 0.945 0.928 0.910

LongBench V2

Model overall easy hard short medium long
Human 53.7 100.0 25.1 47.2 59.1 53.7
w/ CoT
GPT-4o (11-20) 51.4 54.2 49.7 59.6 48.6 43.5
Claude-3.5-Sonnet (10-22) 46.7 55.2 41.5 53.9 41.9 44.4
Deepseek-V3
Qwen2.5-72B-Inst. 43.5 47.9 40.8 48.9 40.9 39.8
MiniMax-Text-01 56.5 66.1 50.5 61.7 56.7 47.2
w/o CoT
GPT-4o (11-20) 50.1 57.4 45.6 53.3 52.4 40.2
Claude-3.5-Sonnet (10-22) 41.0 46.9 37.3 46.1 38.6 37.0
Deepseek-V3 48.7
Qwen2.5-72B-Inst. 42.1 42.7 41.8 45.6 38.1 44.4
MiniMax-Text-01 52.9 60.9 47.9 58.9 52.6 43.5

MTOB

Context Type no context half book full book Δ half book Δ full book
eng → kalam (ChrF)
GPT-4o (11-20) 9.90 54.30 44.40
Claude-3.5-Sonnet (10-22) 20.22 53.62 55.65 33.39 35.42
Gemini-1.5-Pro (002) 16.79 53.68 57.90 36.89 41.11
Gemini-2.0-Flash (exp) 12.20 49.50 53.30 37.30 41.10
Qwen-Long 16.55 48.48 45.94 31.92 29.39
MiniMax-Text-01 6.0 51.74 51.60 45.7 45.6
kalam → eng (BLEURT)
GPT-4o (11-20) 33.20 58.30 25.10
Claude-3.5-Sonnet (10-22) 31.42 59.70 62.30 28.28 30.88
Gemini-1.5-Pro (002) 32.02 61.52 63.09 29.50 31.07
Gemini-2.0-Flash (exp) 33.80 57.50 57.00 23.70 23.20
Qwen-Long 30.13 53.14 32.15 23.01 2.02
MiniMax-Text-01 33.65 57.10 58.00 23.45 24.35

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DeepSeek: DeepSeek R1 0528

DeepSeek: DeepSeek R1 0528

DeepSeek-R1-0528

Update (May 28): The original DeepSeek R1 now delivers performance comparable to OpenAI’s o1, but is fully open-source with transparent reasoning tokens. The model has 671B parameters, with 37B active per inference pass—making it one of the largest openly available models.

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Creator Deepseek
Release Date May, 2025
License MIT
Context Window 128,000
Image Input Support No
Open Source (Weights) Yes
Parameters 685B, 37B active at inference time
Model Weights Click here

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Yes, you can adjust your plan at any time to better suit your needs. Upgrades will take effect immediately, while downgrades will be applied at the start of your next billing cycle.


Yes, you can adjust your plan at any time to better suit your needs. Upgrades will take effect immediately, while downgrades will be applied at the start of your next billing cycle.


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Since we switched to SimpliCloud, our team’s productivity has soared. The seamless integration and intuitive interface meant we were up and running in no time, without the usual headaches of adopting new software. It’s not just a tool for us; it’s like having an extra member on the team who’s always reliable and ready to help.
Jordan M., Operations Manager

Read our 500+ 5-Star Reviews