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GPT-5.5 vs GPT-4o-mini

Detailed technical comparison between GPT-5.5 (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-5.5: 6 WinsvsGPT-4o-mini: 0 Wins
Context Leader

GPT-5.5

1,050,000 tokens
Agentic Tool-Calling

GPT-5.5

95/100 Score
Lowest Latency (TTFT)

GPT-4o-mini

150 ms TTFT
Input Price Leader

GPT-4o-mini

$0.15 / MTok
OpenAIactive

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

View GPT-5.5 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-5.5GPT-4o-mini
ProviderOpenAIOpenAI
Context Window1,050,000 tokensπŸ†128,000 tokens
Agent Suitability95/100πŸ†82/100
Time to First Token (TTFT)380 ms150 msπŸ†
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-07-18

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

GPT-4o-mini

$0.15

Output Price per Million Tokens

GPT-5.5

$30.00

GPT-4o-mini

$0.60

πŸ’‘ Cost Ratio: GPT-4o-mini is 33.3x cheaper per input token than GPT-5.5.

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
94.2%vs82.0%+12.2% GPT-5.5
GPT-5.5 πŸ†
GPT-4o-mini
HumanEvalPython coding & logic synthesis
96.8%vs84.0%+12.8% GPT-5.5
GPT-5.5 πŸ†
GPT-4o-mini
MATHComplex mathematical problem solving
93.5%vs70.2%+23.3% GPT-5.5
GPT-5.5 πŸ†
GPT-4o-mini
GPQAGraduate-level expert reasoning
84.2%vs45.0%+39.2% GPT-5.5
GPT-5.5 πŸ†
GPT-4o-mini
HellaSwagCommonsense reasoning and inference
99.0%vs84.7%+14.3% GPT-5.5
GPT-5.5 πŸ†
GPT-4o-mini
MT-BenchMulti-turn conversation flow quality
9.7%vs8.6%+1.1% GPT-5.5
GPT-5.5 πŸ†
GPT-4o-mini

GPT-5.5 Quirks & Gotchas

  • β–ΈBest for JSON schema adherence β€” strict mode available via response_format parameter
  • β–ΈRequires explicit tool_choice for deterministic function calling

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

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