GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger counterparts, it retains key …
Model details →OpenAI: GPT-5 Nano vs Z.ai: GLM 4.7 Flash
OpenAI: GPT-5 Nano wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaborati…
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5 Nano | Z.ai: GLM 4.7 Flash | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 203K | 🏆 OpenAI: GPT-5 Nano |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.06 | 🏆 OpenAI: GPT-5 Nano |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.40 | $0.40 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 OpenAI: GPT-5 Nano |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: GPT-5 Nano better than Z.ai: GLM 4.7 Flash?
OpenAI: GPT-5 Nano wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5 Nano and Z.ai: GLM 4.7 Flash?
Input: $0.05 vs $0.06 per 1M tokens. Output: $0.40 vs $0.40 per 1M tokens.
What context windows do OpenAI: GPT-5 Nano and Z.ai: GLM 4.7 Flash support?
OpenAI: GPT-5 Nano supports up to 400K tokens. Z.ai: GLM 4.7 Flash supports up to 203K tokens.
Do both OpenAI: GPT-5 Nano and Z.ai: GLM 4.7 Flash support tool calling?
OpenAI: GPT-5 Nano: yes. Z.ai: GLM 4.7 Flash: yes.