Model Breakdowns
Version-by-version analysis of frontier AI models — context windows, benchmarks, and highlights.
Quick Comparison
| Model | Vendor | Max Context | Versions | MMLU (top) | HumanEval (top) |
|---|---|---|---|---|---|
| GLM-5.1 | Zhipu AI / Zai-Org | 128K tokens | 3 | 88.4 | 92.1 |
| Claude 4 | Anthropic | 200K tokens | 3 | 89.2 | 92.5 |
| GPT-5 | OpenAI | 256K tokens | 3 | 90.1 | 94.2 |
| Gemini 2.5 Pro | Google DeepMind | 2M tokens | 3 | 87.8 | 90.4 |
| DeepSeek V4 | DeepSeek | 128K tokens | 3 | 87.5 | 89.8 |
GLM-5.1
Zhipu AI / Zai-Org
Frontier reasoning model with 128K context and agentic capabilities
Frontier reasoning with FP8 efficiency — 2x faster inference, near-lossless quality
Claude 4
Anthropic
Constitutional AI with exceptional code understanding and safety
Constitutional AI with 200K context — best for safety-critical and code-heavy tasks
GPT-5
OpenAI
Unified model with adaptive reasoning depth and multimodal capabilities
Adaptive reasoning with 256K context — auto-scales compute based on task difficulty
Gemini 2.5 Pro
Google DeepMind
Massive 2M token context with native multimodal and tool integration
2M token context — process entire codebases, books, and videos in a single prompt
DeepSeek V4
DeepSeek
Open-weights reasoning model with Mixture-of-Experts architecture
Open-weights MoE with 671B params — self-hostable frontier reasoning