AI model comparison
GLM 5.3 vs Solar Pro 4
Side by side comparison of GLM 5.3 and Solar Pro 4 on pricing, benchmark scores, context window, and more.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
- Input / 1M
- $0.07
- Output / 1M
- $1.40
- Context
- 1.05M
Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 524K
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Solar Pro 4
1.4x cheaper for a typical chat
Higher intelligence score
GLM 5.3
31.7 vs 28.2 on Artificial Analysis
Larger context window
GLM 5.3
1.05M vs 524K tokens
Newer release
GLM 5.3
Released August 18, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 5.3 vs Solar Pro 4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.07 | $0.15 |
| Output tokensPer 1M tokens | $1.40 | $0.60 |
| Cached input (read)Per 1M tokens | $0.07 | $0.03 |
| Cache writePer 1M tokens | Not available | 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 | 1.05M tokens | 524K tokens |
| Max output | 944K tokens | 131K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Max, Extra high, High, Medium, Low, Minimal, None |
| Default reasoning effort | Max | Medium |
| Release date | August 18, 2026 | August 10, 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 | Supported | Not supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
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Our take
Solar Pro 4 is 1.4x cheaper for a typical chat. GLM 5.3 scores higher on the Artificial Analysis Intelligence Index (31.7 vs 28.2). GLM 5.3 has the larger context window (1.05M vs 524K 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 5.3 or Solar Pro 4 cheaper?
Solar Pro 4 is cheaper for a typical chat (2K input tokens and 500 output tokens). Solar Pro 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while GLM 5.3 costs $0.07 per 1M input tokens and $1.40 per 1M output tokens.
Which has a bigger context window, GLM 5.3 or Solar Pro 4?
GLM 5.3 supports up to 1.05M tokens of context, compared with 524K for Solar Pro 4.
Is GLM 5.3 smarter than Solar Pro 4?
On the Artificial Analysis Intelligence Index, GLM 5.3 scores 31.7 and Solar Pro 4 scores 28.2, putting GLM 5.3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.3 and Solar Pro 4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 and Solar Pro 4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 and Solar Pro 4 at the same time. Compare the answers side by side and keep the best one.