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glm-4.7-flash vs gpt-5.3-codex

Pricing, Performance & Features Comparison

Authorzai
Context Length200K
Reasoning
-
Providers1
ReleasedJan 2026
Knowledge Cutoff-
License-

GLM-4.7-Flash is a 30B Mixture-of-Experts (MoE) reasoning model with approximately 3.6B active parameters, designed for local deployment with best-in-class performance for coding, agentic workflows, and chat. It supports a 200K context window and achieves open-source state-of-the-art scores on benchmarks like SWE-bench Verified and τ²-Bench, excelling particularly in frontend and backend development capabilities.

Input$0.07
Output$0.4
Latency (p50)8.3s
Output Limit131K
Function Calling
JSON Mode
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InputText
OutputText
in$0.07out$0.4-write$0.01
Latency (24h)
Success Rate (24h)
Authoropenai
Context Length100K
Reasoning
-
Providers0
ReleasedFeb 2026
Knowledge Cutoff-
License-

GPT-5.3-Codex is OpenAI's most capable agentic coding model, combining frontier coding performance with the reasoning and professional knowledge capabilities of GPT-5.2 in a single model that is 25% faster than GPT-5.2-Codex. It is designed to handle long-running tasks involving research, tool use, and complex execution, enabling it to perform nearly any task a professional can do on a computer, from debugging and deployment to creating spreadsheets and presentations.

Input-
Output-
Latency (p50)-
Output Limit-
Function Calling
JSON Mode
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InputText, Image
OutputText
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