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GPT-5.1-Codex-Max vs GLM 5.2

Detailed technical comparison between GPT-5.1-Codex-Max (OpenAI) and GLM 5.2 (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚑ Executive Summary & Verdict

Comparison Snapshot

GPT-5.1-Codex-Max: 6 WinsvsGLM 5.2: 0 Wins
Context Leader

GLM 5.2

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
OpenAIactive

GPT-5.1-Codex-Max

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...

View GPT-5.1-Codex-Max Full Specs β†’
Zhipu AIactive

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

View GLM 5.2 Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-5.1-Codex-MaxGLM 5.2
ProviderOpenAIZhipu AI
Context Window400,000 tokens1,048,576 tokensπŸ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-12-042026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-5.1-Codex-Max

$1.25

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5.1-Codex-Max

$10.00

GLM 5.2

$2.50

πŸ’‘ Cost Ratio: GLM 5.2 is 1.6x cheaper per input token than GPT-5.1-Codex-Max.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
92.2%vs89.5%+2.7% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GLM 5.2
HumanEvalPython coding & logic synthesis
99.0%vs91.2%+7.8% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GLM 5.2
MATHComplex mathematical problem solving
80.6%vs80.5%+0.1% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GLM 5.2
GPQAGraduate-level expert reasoning
59.0%vs53.5%+5.5% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GLM 5.2
HellaSwagCommonsense reasoning and inference
91.2%vs89.8%+1.4% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GLM 5.2
MT-BenchMulti-turn conversation flow quality
9.4%vs9.3%+0.1% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GLM 5.2

GPT-5.1-Codex-Max Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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