AI model comparison
GLM 4.7 Flash vs GPT-5 Nano
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency.
- Input / 1M
- $0.06
- Output / 1M
- $0.40
- Context
- 200K
OpenAI
GPT-5 Nano
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.
- Input / 1M
- $0.05
- Output / 1M
- $0.40
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5 Nano
1.1x cheaper for a typical chat
Higher intelligence score
GLM 4.7 Flash
14.9 vs 13 on Artificial Analysis
Larger context window
GPT-5 Nano
400K vs 200K tokens
Newer release
GLM 4.7 Flash
Released January 19, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5 Nano13Coding index
GPT-5 NanoNot availableAgentic index
GPT-5 NanoNot availablePricing
GLM 4.7 Flash vs GPT-5 Nano API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5 Nano | |
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $0.05 |
| Output tokensPer 1M tokens | $0.40 | $0.40 |
| Cached input (read)Per 1M tokens | Not available | $0.01 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-5 Nano$0.30Coding task
30K in, 4K out
GPT-5 Nano$3.10$1.75 cachedLong document summary
150K in, 2K out
GPT-5 Nano$8.30$1.55 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5 Nano | |
|---|---|---|
| Context window | 200K tokens | 400K tokens |
| Max output | 118K tokens | 128K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low, Minimal |
| Default reasoning effort | Not available | Medium |
| Release date | January 19, 2026 | August 7, 2025 |
Features
Supported features
API features available for each model.
| Metric | GPT-5 Nano | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 4.7 Flash vs Gemini 2.5 Flash Lite
- GLM 4.7 Flash vs Gemini 3.1 Flash Lite
- GLM 4.7 Flash vs Gemma 4 31B
- GLM 4.7 Flash vs Gemma 4 26B A4B
- GLM 4.7 Flash vs Step 3.5 Flash
- GLM 4.7 Flash vs DeepSeek V3.2 Exp
- GLM 4.7 Flash vs DeepSeek V3.1
- GLM 4.7 Flash vs Qwen3 235B A22B Instruct 2507
- GLM 4.7 Flash vs Nemotron 3 Super
- GLM 4.7 Flash vs GLM 4.5 Air
GPT-5 NanoView full model details- GPT-5 Nano vs Gemini 2.5 Flash Lite
- GPT-5 Nano vs GPT-6 Luna Pro
- GPT-5 Nano vs gpt-oss-120b
- GPT-5 Nano vs Gemma 4 31B
- GPT-5 Nano vs Gemma 4 26B A4B
- GPT-5 Nano vs gpt-oss-20b
- GPT-5 Nano vs GPT-4o-mini
- GPT-5 Nano vs Qwen3 235B A22B Instruct 2507
- GPT-5 Nano vs DeepSeek V3.1
- GPT-5 Nano vs Mercury 2.5
- GPT-5 Nano vs Qwen3.5-9B
- GPT-5 Nano vs Nemotron 3.5 Lightning
- GPT-5 Nano vs GPT-4.1 Nano
- GPT-5 Nano vs Granite 4.2 8B
- GPT-5 Nano vs DeepSeek V3.2 Exp
- GPT-5 Nano vs Nemotron 3 Super
- GPT-5 Nano vs Mistral Small 4
- GPT-5 Nano vs Step 3.5 Flash
- GPT-5 Nano vs Mercury 2
Our take
GPT-5 Nano is 1.1x cheaper for a typical chat. GLM 4.7 Flash scores higher on the Artificial Analysis Intelligence Index (14.9 vs 13). GPT-5 Nano has the larger context window (400K vs 200K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 4.7 Flash or GPT-5 Nano cheaper?
GPT-5 Nano is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5 Nano costs $0.05 per 1M input tokens and $0.40 per 1M output tokens, while GLM 4.7 Flash costs $0.06 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, GLM 4.7 Flash or GPT-5 Nano?
GPT-5 Nano supports up to 400K tokens of context, compared with 200K for GLM 4.7 Flash.
Is GLM 4.7 Flash smarter than GPT-5 Nano?
On the Artificial Analysis Intelligence Index, GLM 4.7 Flash scores 14.9 and GPT-5 Nano scores 13, putting GLM 4.7 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 4.7 Flash and GPT-5 Nano at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 4.7 Flash and GPT-5 Nano answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 4.7 Flash and GPT-5 Nano at the same time. Compare the answers side by side and keep the best one.