AI Models · Compare

GPT-5.5 vs GPT-4o

Which AI model is better in 2026? Compare GPT-5.5 and GPT-4o on benchmarks, pricing, speed, context window, and real-world fit.

Quick summary

GPT-5.5 is currently the stronger overall pick for reasoning, coding, math, and context. GPT-4o wins on speed and price. GPT-4o remains the budget pick at $4.38 vs $7.50 blended / 1M tokens.

Overall winner

GPT-5.5

View GPT-5.5 review

GPT-5.5 wins

  • Reasoning
  • Coding
  • Math
  • Context

GPT-4o wins

  • Speed
  • Price

Want to compare different models?

Pick any two models
OpenAI

GPT-5.5

ProprietaryMar 2026

OpenAI’s 2026 flagship — strongest at reasoning, coding and tool use.

Open docs
OpenAI

GPT-4o

ProprietaryMay 2024

OpenAI’s vision-and-voice flagship from 2024 — still a great default.

Open docs

GPT-5.5 vs GPT-4o: overview

GPT-5.5 (OpenAI) and GPT-4o (OpenAI) are frequently compared by teams choosing an AI stack in 2026. GPT-5.5: OpenAI’s 2026 flagship — strongest at reasoning, coding and tool use. GPT-4o: OpenAI’s vision-and-voice flagship from 2024 — still a great default. This GPT-5.5 vs GPT-4o comparison covers benchmarks, pricing, context window, speed, modalities, strengths, weaknesses, and who should pick which model.

GPT-5.5 is proprietary with a 400k-token context window and a blended API price near $7.50 / 1M tokens (intelligence index 82/100). GPT-4o is proprietary with 128k context at about $4.38 blended / 1M (intelligence 72/100). Those gaps drive most “GPT-5.5 vs GPT-4o” searches — quality versus cost, closed versus open, cloud versus self-host.

Where they differ most: GPT-5.5 tends to lead on reasoning, coding, math, and context, while GPT-4o leads on speed and price. Choose GPT-5.5 when you want the stronger overall profile on our scorecard; validate with your own evals before migrating production traffic.

GPT-5.5 is often shortlisted for agentic workflows, complex coding, and hard math & research. GPT-4o fits general-purpose chat, voice apps, and vision tasks. Scroll to pricing, real-world tasks, and the who-should-choose section for decision support.

People search “GPT-5.5 vs GPT-4o”, “which is better”, and “GPT-5.5 vs GPT-4o pricing” for the same reason: switching models is expensive if quality drops, and staying put is expensive if you overpay. Use the winner card for a fast answer, the head-to-head table for receipts, and the editorial verdict for a human recommendation. GPT-5.5 currently ranks among frontier options from OpenAI; GPT-4o is a hosted alternative from OpenAI. If API pricing is your main concern, start with the pricing section; for multimodal workloads, check vision/audio rows in technical differences; for agents and long documents, prioritize context and reasoning wins.

Head to head

Spec
GPT-5.5
GPT-4o
Winner
Reason
Intelligence index↑ better
Winner82
72
GPT-5.5
GPT-5.5 leads on the composite intelligence index (82 vs 72).
Speed↑ better
95 tok/s
Winner110 tok/s
GPT-4o
GPT-4o generates tokens faster (110 vs 95 tok/s).
Time to first token↓ better
0.42 s
Winner0.4 s
GPT-4o
GPT-4o starts streaming sooner (0.4s vs 0.42s TTFT).
Context window↑ better
Winner400k
128k
GPT-5.5
GPT-5.5 wins with 400k tokens — about 3.1× GPT-4o.
Max output↑ better
16k
Winner16k
GPT-4o
GPT-4o wins this row (16384 vs 16000).
Input price↓ better
$5.00 / 1M tokens
Winner$2.50 / 1M tokens
GPT-4o
GPT-4o is cheaper (~2.0× lower on this price row).
Output price↓ better
$15.00 / 1M tokens
Winner$10.00 / 1M tokens
GPT-4o
GPT-4o is cheaper (~1.5× lower on this price row).
Blended price↓ better
$7.50 / 1M tokens
Winner$4.38 / 1M tokens
GPT-4o
GPT-4o is cheaper (~1.7× lower on this price row).
License
Proprietary
Proprietary
Qualitative / categorical row
Input modalities
text, image
text, image, audio
Qualitative / categorical row
Output modalities
text
text, audio
Qualitative / categorical row

Pricing comparison

API cost is often the deciding factor in GPT-5.5 vs GPT-4o for high-volume apps. Figures below use catalog list prices with a 3:1 input:output blend for monthly estimates. Cached input, batch, and realtime surcharges vary by provider — confirm on official docs.

API costGPT-5.5GPT-4o
Input / 1M tokens$5.00$2.50
Output / 1M tokens$15.00$10.00
Blended (3:1) / 1M$7.50$4.38
Est. cost @ 1M blended tokens$7.50$4.38
Est. cost @ 10M blended tokens$75.00$43.80
Est. cost @ 100M blended tokens$750.00$438.00

Cached input, batch API, and realtime surcharges are provider-specific and not always published in our catalog — verify on official pricing pages.

Benchmark showdown

MMLU
GPT-5.5
90.2
GPT-4o
88.7
MMLU Pro
GPT-5.5
78.0
GPT-4o
73.3
GPQA
GPT-5.5
62.5
GPT-4o
53.1
MATH
GPT-5.5
89.1
GPT-4o
76.6
HumanEval
GPT-5.5
93.0
GPT-4o
90.2

GPT-5.5 leads on MMLU, MMLU Pro, GPQA, MATH, and HumanEval, indicating stronger coding and reasoning-oriented scores. GPT-4o remains attractive for production deployments on price. Raw benchmarks shortlist models — run task-specific evals before you switch.

Real-world performance

Beyond academic scores, here is how GPT-5.5 vs GPT-4o tends to split common product tasks based on catalog strengths, price, and modalities.

TaskWinner
CodingGPT-5.5
Blog writingGPT-5.5
ResearchGPT-5.5
Customer supportGPT-4o
Cheap API / high volumeGPT-4o
AI agentsGPT-5.5
SummarizationGPT-5.5
TranslationGPT-5.5
Vision / multimodalGPT-5.5
Self-hosting / open weightsGPT-4o

Technical differences

FeatureGPT-5.5GPT-4o
ProviderOpenAIOpenAI
LicenseProprietaryProprietary
Pricing modeltokenstokens
Context window400k tokens128k tokens
Max output16k tokens16k tokens
Vision inputYesYes
Audio inputNoYes
Text outputYesYes
Image outputNoNo
Video outputNoNo
Audio outputNoYes
Self-host friendlyNoNo
DocsAvailableAvailable

Strengths, weaknesses and best-for

GPT-5.5
Strengths
  • Best-in-class reasoning
  • Huge 400k context
  • Strong tool use and agents
Weaknesses
  • Expensive vs Sonnet for non-reasoning tasks
  • Higher latency than gpt-5.5-mini
Best for
  • Agentic workflows
  • Complex coding
  • Hard math & research
GPT-4o
Strengths
  • Strong multimodal
  • Voice-native
  • Mature ecosystem
Weaknesses
  • Weaker than GPT-5.5 on reasoning
  • Smaller context vs newer models
Best for
  • General-purpose chat
  • Voice apps
  • Vision tasks

Who should choose which

Choose GPT-5.5 if

  • You need stronger reasoning, coding, or math quality
  • You need a larger context window
  • Agentic workflows
  • Complex coding

Choose GPT-4o if

  • You care about faster token throughput
  • API budget is the top constraint
  • General-purpose chat
  • Voice apps

Pros & cons

GPT-5.5

Pros

  • Best-in-class reasoning
  • Huge 400k context
  • Strong tool use and agents

Cons

  • Expensive vs Sonnet for non-reasoning tasks
  • Higher latency than gpt-5.5-mini

GPT-4o

Pros

  • Strong multimodal
  • Voice-native
  • Mature ecosystem

Cons

  • Weaker than GPT-5.5 on reasoning
  • Smaller context vs newer models

Editorial verdict

GPT-5.5 edges this matchup — with caveats

GPT-5.5 is the better choice when you prioritize reasoning, coding, math, and context. GPT-4o stands out for speed and price, making it a strong option when those dimensions matter more than raw leaderboard rank. If maximum measured performance matters, GPT-5.5 wins this matchup. If cost and control matter more, GPT-4o is difficult to beat. Always confirm with a bake-off on your real prompts before cutting over.

Still deciding? Read the full GPT-5.5 review and GPT-4o review, or open the full AI models table.

GPT-5.5 vs GPT-4o — frequently asked questions

On our scorecard, GPT-5.5 wins overall (leads on Reasoning, Coding, Math, and Context). The “better” model still depends on your workload — validate with your own evals.

Build the shortlist that fits your stack

Open every model in one place — sortable table with intelligence, speed and price.