AI model comparison
Grok 4.7 vs GLM 5.3 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
xAI
Grok 4.7
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 500K
Z.ai
GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
- Input / 1M
- $0.02
- Output / 1M
- $1.20
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3 Flash
10.8x cheaper for a typical chat
Higher intelligence score
Grok 4.7
46.4 vs 41.8 on Artificial Analysis
Larger context window
GLM 5.3 Flash
1.05M vs 500K tokens
Newer release
Grok 4.7
Released September 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Grok 4.7 vs GLM 5.3 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $2 | $0.02 |
| Output tokensPer 1M tokens | $6 | $1.20 |
| Cached input (read)Per 1M tokens | $0.50 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $4 in / $12 out above 200K | Same rate at any length |
| Web searchPer request | $0.005 | Not available |
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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 500K tokens | 1.05M tokens |
| Max output | 450K tokens | 944K tokens |
| Input types | File, Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, Medium, Low | Max, High, Low |
| Default reasoning effort | High | Max |
| Release date | September 21, 2026 | August 26, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Grok 4.7 vs Claude Opus 5.5
- Grok 4.7 vs GPT-6 Astra
- Grok 4.7 vs GPT-6.1 Sol
- Grok 4.7 vs Muse Spark 1.3
- Grok 4.7 vs GPT-6 Sol
- Grok 4.7 vs GPT-5.6 Sol
- Grok 4.7 vs MiMo-V2.6-Pro
- Grok 4.7 vs Qwen3.8 Max (0902)
- Grok 4.7 vs GLM 5.3
- Grok 4.7 vs Grok 4.6
- Grok 4.7 vs Kimi K3
- Grok 4.7 vs Gemini 3.8 Flash
- Grok 4.7 vs Grok 4.5
- GLM 5.3 Flash vs DeepSeek V4.1 Flash
- GLM 5.3 Flash vs MiMo-V2.6-Flash
- GLM 5.3 Flash vs Step 5 Preview
- GLM 5.3 Flash vs Hy4 preview
- GLM 5.3 Flash vs GPT-6 Luna
- GLM 5.3 Flash vs Claude Opus 5.5
- GLM 5.3 Flash vs DeepSeek V4 Flash 0731
- GLM 5.3 Flash vs GLM 5.3
- GLM 5.3 Flash vs DeepSeek V4 Flash 0423
- GLM 5.3 Flash vs Hy3
- GLM 5.3 Flash vs Claude Sonnet 5.5
- GLM 5.3 Flash vs Muse Spark 1.3 Contributor
- GLM 5.3 Flash vs Kimi K3
- GLM 5.3 Flash vs GPT-6.1 Sol
- GLM 5.3 Flash vs Gemini 3.8 Flash
- GLM 5.3 Flash vs GPT-5.6 Luna
- GLM 5.3 Flash vs GLM 5.2
- GLM 5.3 Flash vs Claude Fable 5.1
- GLM 5.3 Flash vs GPT-6 Astra
- GLM 5.3 Flash vs MiMo-V2.6-Pro
- GLM 5.3 Flash vs Claude Opus 5
- GLM 5.3 Flash vs DeepSeek V4 Pro 0813
- GLM 5.3 Flash vs Claude Haiku 5.5
- GLM 5.3 Flash vs Muse Spark 1.3
- GLM 5.3 Flash vs Qwen3.8 Max (0902)
- GLM 5.3 Flash vs Grok 4.6
- GLM 5.3 Flash vs Ling 3.1 Flash
- GLM 5.3 Flash vs GPT-5.6 Terra
- GLM 5.3 Flash vs Claude Opus 4.8
- GLM 5.3 Flash vs Claude Opus 4.7
- GLM 5.3 Flash vs Qwen3.8 2.4T A95B
- GLM 5.3 Flash vs Gemini 3.7 Flash
- GLM 5.3 Flash vs Muse Spark 1.2
- GLM 5.3 Flash vs Qwen3.8 Flash
- GLM 5.3 Flash vs Qwen3.8 27B
- GLM 5.3 Flash vs Grok 4.5
- GLM 5.3 Flash vs GPT-6 Luna Pro
- GLM 5.3 Flash vs DeepSeek V4 Flash Vision Exp
- GLM 5.3 Flash vs GLM 5.3 FlashX
- GLM 5.3 Flash vs GPT-5.6 Luna Pro
Our take
GLM 5.3 Flash is 10.8x cheaper for a typical chat. Grok 4.7 scores higher on the Artificial Analysis Intelligence Index (46.4 vs 41.8). GLM 5.3 Flash has the larger context window (1.05M vs 500K 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 Grok 4.7 or GLM 5.3 Flash cheaper?
GLM 5.3 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 Flash costs $0.02 per 1M input tokens and $1.20 per 1M output tokens, while Grok 4.7 costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Grok 4.7 or GLM 5.3 Flash?
GLM 5.3 Flash supports up to 1.05M tokens of context, compared with 500K for Grok 4.7.
Is Grok 4.7 smarter than GLM 5.3 Flash?
On the Artificial Analysis Intelligence Index, Grok 4.7 scores 46.4 and GLM 5.3 Flash scores 41.8, putting Grok 4.7 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Grok 4.7 and GLM 5.3 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Grok 4.7 and GLM 5.3 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Grok 4.7 and GLM 5.3 Flash at the same time. Compare the answers side by side and keep the best one.