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GPT-5.3-Codex vs MiniMax M2

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.3-Codex and MiniMax M2.

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. It achieves state-of-the-art results...

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MiniMax

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

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Technical Specifications

SpecificationGPT-5.3-CodexMiniMax M2
ProviderOpenAIMiniMax
Context Window400,000 tokens204,800 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-242025-10-23

API Pricing Comparison

Input Price per Million Tokens

GPT-5.3-Codex

$1.75

MiniMax M2

$0.26

Output Price per Million Tokens

GPT-5.3-Codex

$14.00

MiniMax M2

$1.02

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

GPT-5.3-Codex Quirks & Gotchas

No developer gotchas reported.

MiniMax M2 Quirks & Gotchas

No developer gotchas reported.