โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-5.1-Codex-Mini vs GLM 4.7 Flash

Detailed technical comparison between GPT-5.1-Codex-Mini (OpenAI) and GLM 4.7 Flash (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5.1-Codex-Mini: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GPT-5.1-Codex-Mini

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
OpenAIactive

GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

View GPT-5.1-Codex-Mini Full Specs โ†’
Zhipu AIactive

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View GLM 4.7 Flash Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5.1-Codex-MiniGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window400,000 tokens๐Ÿ†202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-132026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5.1-Codex-Mini

$0.25

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5.1-Codex-Mini

$2.00

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 4.2x cheaper per input token than GPT-5.1-Codex-Mini.

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 (0โ€“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
92.4%vs77.2%+15.2% GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
99.0%vs78.5%+20.5% GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini ๐Ÿ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
80.8%vs40.0%+40.8% GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
59.2%vs31.0%+28.2% GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
91.4%vs80.0%+11.4% GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.4%vs8.1%+1.3% GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini ๐Ÿ†
GLM 4.7 Flash

GPT-5.1-Codex-Mini Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons