Models, measured side by side
GLM 5.3 vs GPT-5.2 Pro
Compare GLM 5.3, GPT-5.2 Pro by token pricing, context length, benchmark results, speed and tool support.
Monthly workload
Monthly cost breakdown
InputOutput
GLM 5.3
$45 / mo
GPT-5.2 Pro
$1,260 / mo
Performance comparison
GLM 5.3
44.8
GPT-5.2 Pro
Not listed
Overview
Pricing & capacity
| Pricing & capacity | GLM 5.3 | GPT-5.2 Pro |
|---|---|---|
| Input / 1M tokens | $1.40 | $21 |
| Output / 1M tokens | $3.39 | $168 |
| Cached input / 1M | $0.05 | Not listed |
| Monthly cost | $45 | $1,260 |
| Context window | 1M | 400K |
| Maximum output | 944K | 128K |
Input / 1M tokens
- GLM 5.3
- $1.40
- GPT-5.2 Pro
- $21
Output / 1M tokens
- GLM 5.3
- $3.39
- GPT-5.2 Pro
- $168
Cached input / 1M
- GLM 5.3
- $0.05
- GPT-5.2 Pro
- Not listed
Monthly cost
- GLM 5.3
- $45
- GPT-5.2 Pro
- $1,260
Context window
- GLM 5.3
- 1M
- GPT-5.2 Pro
- 400K
Maximum output
- GLM 5.3
- 944K
- GPT-5.2 Pro
- 128K
Benchmarks & performance
| Benchmarks & performance | GLM 5.3 | GPT-5.2 Pro |
|---|---|---|
| Arena Elo | Not listed | 1,255 |
| MMLU-Pro | Not listed | 82.8% |
| Intelligence Index | 44.8 | Not listed |
| GPQA | 91.7% | Not listed |
| Humanity’s Last Exam | 42.3% | Not listed |
| SciCode | 59% | Not listed |
| Output speed | 72 tokens/s | Not listed |
| Time to first token | 2.73 s | Not listed |
| DesignArena rating | Not listed | Not listed |
| DesignArena win rate | Not listed | Not listed |
Arena Elo
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- 1,255
MMLU-Pro
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- 82.8%
Intelligence Index
- GLM 5.3
- 44.8
- GPT-5.2 Pro
- Not listed
GPQA
- GLM 5.3
- 91.7%
- GPT-5.2 Pro
- Not listed
Humanity’s Last Exam
- GLM 5.3
- 42.3%
- GPT-5.2 Pro
- Not listed
SciCode
- GLM 5.3
- 59%
- GPT-5.2 Pro
- Not listed
Output speed
- GLM 5.3
- 72 tokens/s
- GPT-5.2 Pro
- Not listed
Time to first token
- GLM 5.3
- 2.73 s
- GPT-5.2 Pro
- Not listed
DesignArena rating
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- Not listed
DesignArena win rate
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- Not listed
Tools & features
| Tools & features | GLM 5.3 | GPT-5.2 Pro |
|---|---|---|
| Function calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Built-in web search | Not listed | Not listed |
| Log probabilities | Supported | Not listed |
| Deterministic seed | Supported | Supported |
| Parallel tool calls | Supported | Not listed |
| Prompt caching | Supported | Not listed |
Function calling
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Supported
Structured outputs
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Supported
JSON mode
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Supported
Reasoning
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Supported
Built-in web search
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- Not listed
Log probabilities
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Not listed
Deterministic seed
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Supported
Parallel tool calls
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Not listed
Prompt caching
- GLM 5.3
- Supported
- GPT-5.2 Pro
- Not listed
API & availability
| API & availability | GLM 5.3 | GPT-5.2 Pro |
|---|---|---|
| API identifier | glm-5.3 | gpt-5.2-pro |
| API providers | Not listed | OpenAI |
| Knowledge cutoff | Not listed | Not listed |
| Prices checked | Oct 8, 2026 | Oct 8, 2026 |
API identifier
- GLM 5.3
glm-5.3- GPT-5.2 Pro
gpt-5.2-pro
API providers
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- OpenAI
Knowledge cutoff
- GLM 5.3
- Not listed
- GPT-5.2 Pro
- Not listed
Prices checked
- GLM 5.3
- Oct 8, 2026
- GPT-5.2 Pro
- Oct 8, 2026
About the models
GLM 5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Full pricing & detailsGPT-5.2 Pro
GPT-5.2 with extra compute for the most demanding problems. No cached-input discount.
Full pricing & detailsComparison FAQ
GLM 5.3: $1.40 input and $3.39 output per million tokens. GPT-5.2 Pro: $21 input and $168 output per million tokens. The cheaper choice depends on your input-to-output ratio; a model can have a lower input rate but a higher output rate.