AI model comparison
GLM 5.2 vs GPT-5.3-Codex
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai.
- Input / 1M
- $0.06
- Output / 1M
- $8
- Context
- 1.05M
OpenAI
GPT-5.3-Codex
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2.
- Input / 1M
- $1.75
- Output / 1M
- $14
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.2
2.5x cheaper for a typical chat
Higher intelligence score
GLM 5.2
33.7 vs 32.5 on Artificial Analysis
Larger context window
GLM 5.2
1.05M vs 400K tokens
Newer release
GLM 5.2
Released June 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.3-Codex32.5Coding index
GPT-5.3-CodexNot availableAgentic index
GPT-5.3-CodexNot availablePricing
GLM 5.2 vs GPT-5.3-Codex API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.3-Codex | |
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $1.75 |
| Output tokensPer 1M tokens | $8 | $14 |
| Cached input (read)Per 1M tokens | $0.06 | $0.18 |
| 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-5.3-Codex$10.50Coding task
30K in, 4K out
GPT-5.3-Codex$108.50$61.25 cachedLong document summary
150K in, 2K out
GPT-5.3-Codex$290.50$54.25 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5.3-Codex | |
|---|---|---|
| Context window | 1.05M tokens | 400K tokens |
| Max output | 944K tokens | 128K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High | Extra high, High, Medium, Low, None |
| Default reasoning effort | High | Medium |
| Release date | June 16, 2026 | February 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.3-Codex | |
|---|---|---|
| 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 5.2 vs DeepSeek V4.1 Flash
- GLM 5.2 vs DeepSeek V4 Flash 0731
- GLM 5.2 vs GLM 5.3
- GLM 5.2 vs DeepSeek V4 Pro 0813
- GLM 5.2 vs Claude Sonnet 5
- GLM 5.2 vs Qwen3.8 27B
- GLM 5.2 vs Grok 4.5
- GLM 5.2 vs Claude Sonnet 4.6
- GLM 5.2 vs Gemini 3.6 Flash
- GLM 5.2 vs Muse Spark 1.1
- GLM 5.2 vs Gemini 3.5 Flash
- GLM 5.2 vs Gemini 3.1 Pro Preview
- GLM 5.2 vs Claude Opus 4.6
- GLM 5.2 vs GPT-5.2
- GLM 5.2 vs Qwen3.7 Max
- GLM 5.2 vs Claude Opus 4.5
- GLM 5.2 vs GPT-5.2-Codex
GPT-5.3-CodexView full model details- GPT-5.3-Codex vs GPT-5.4
- GPT-5.3-Codex vs GPT-5.5
- GPT-5.3-Codex vs Claude Sonnet 5
- GPT-5.3-Codex vs Gemini 3.5 Flash
- GPT-5.3-Codex vs Claude Opus 4.6
- GPT-5.3-Codex vs GPT-5.2
- GPT-5.3-Codex vs Claude Sonnet 4.6
- GPT-5.3-Codex vs Gemini 3.1 Pro Preview
- GPT-5.3-Codex vs Claude Opus 4.5
- GPT-5.3-Codex vs GPT-5.2-Codex
Our take
GLM 5.2 is 2.5x cheaper for a typical chat. GLM 5.2 scores higher on the Artificial Analysis Intelligence Index (33.7 vs 32.5). GLM 5.2 has the larger context window (1.05M vs 400K 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 5.2 or GPT-5.3-Codex cheaper?
GLM 5.2 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.2 costs $0.06 per 1M input tokens and $8 per 1M output tokens, while GPT-5.3-Codex costs $1.75 per 1M input tokens and $14 per 1M output tokens.
Which has a bigger context window, GLM 5.2 or GPT-5.3-Codex?
GLM 5.2 supports up to 1.05M tokens of context, compared with 400K for GPT-5.3-Codex.
Is GLM 5.2 smarter than GPT-5.3-Codex?
On the Artificial Analysis Intelligence Index, GLM 5.2 scores 33.7 and GPT-5.3-Codex scores 32.5, putting GLM 5.2 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.2 and GPT-5.3-Codex at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.2 and GPT-5.3-Codex answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.2 and GPT-5.3-Codex at the same time. Compare the answers side by side and keep the best one.