← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-5.1-Codex-Max vs GPT-4o-mini

Detailed technical comparison between GPT-5.1-Codex-Max (OpenAI) and GPT-4o-mini (OpenAI). 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 WinsvsGPT-4o-mini: 0 Wins
Context Leader

GPT-5.1-Codex-Max

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4o-mini

$0.15 / 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†’
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-mini Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-5.1-Codex-MaxGPT-4o-mini
ProviderOpenAIOpenAI
Context Window400,000 tokensπŸ†128,000 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-042024-07-18

API Pricing Comparison

Input Price per Million Tokens

GPT-5.1-Codex-Max

$1.25

GPT-4o-mini

$0.15

Output Price per Million Tokens

GPT-5.1-Codex-Max

$10.00

GPT-4o-mini

$0.60

πŸ’‘ Cost Ratio: GPT-4o-mini is 8.3x 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%vs82.0%+10.2% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GPT-4o-mini
HumanEvalPython coding & logic synthesis
99.0%vs84.0%+15.0% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GPT-4o-mini
MATHComplex mathematical problem solving
80.6%vs70.2%+10.4% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GPT-4o-mini
GPQAGraduate-level expert reasoning
59.0%vs45.0%+14.0% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GPT-4o-mini
HellaSwagCommonsense reasoning and inference
91.2%vs84.7%+6.5% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GPT-4o-mini
MT-BenchMulti-turn conversation flow quality
9.4%vs8.6%+0.8% GPT-5.1-Codex-Max
GPT-5.1-Codex-Max πŸ†
GPT-4o-mini

GPT-5.1-Codex-Max Quirks & Gotchas

No developer gotchas reported.

GPT-4o-mini Quirks & Gotchas

  • β–ΈUltra-low latency β€” best TTFT in the OpenAI lineup
  • β–ΈTool calling limited to single-step β€” not suitable for complex agentic pipelines

Explore Other Popular Comparisons