Coding · Head-to-head

GPT-5.5 vs DeepSeek

GPT-5.5 (paid, AI Score 8.7/10) vs DeepSeek (freemium, AI Score 8.7/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick GPT-5.5 if…
  • your primary use case is teams already running gpt-5.5 in production who want a generally-available, independently benchmarked frontier model rather than switching a working stack to a newer gated preview.
Try GPT-5.5 →
Pick DeepSeek if…
  • budget is the constraint
  • you want our editor's pick for this category
  • your primary use case is developers who own their agent harness and can hold a stable prompt prefix, since the cache rate is what makes deepseek cheap, and whose work is text rather than screenshots or audio.
Try DeepSeek →

Side-by-side specs

Spec GPT-5.5 DeepSeek
Category Coding Coding
Pricing model paid freemium
Headline pricing API: $5/$30 per 1M tokens (in/out) as last published. ChatGPT Plus $20/mo, Pro $200/mo Free chat + API from $0.14/M input tokens (V4-Flash beta)
Free tier No free API tier. ChatGPT's free plan does not include GPT-5.5; free traffic routes to smaller models. Free web and mobile chat with daily usage limits; API is pay-as-you-go, check the platform console for any current credit offer
AI Score 8.7/10 8.7/10
Best for Teams already running GPT-5.5 in production who want a generally-available, independently benchmarked frontier model rather than switching a working stack to a newer gated preview. Developers who own their agent harness and can hold a stable prompt prefix, since the cache rate is what makes DeepSeek cheap, and whose work is text rather than screenshots or audio.
Editor's pick ✓ Yes
Use cases development agents development agents
Date added 2026-05-02 2026-05-01

Pros and cons

GPT-5.5 logo

GPT-5.5

Coding · paid

Pros

  • Generally available and independently benchmarked, with months of production track record behind it
  • Genuine agentic capability: tool use, self-correction and multi-step task completion, not just single-turn answers
  • 272K context still handles most whole-codebase and long-document work without chunking
  • Mini and nano tiers let you route cheap calls without leaving OpenAI

Cons

  • ×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now
  • ×Still carries flagship pricing at $5/$30 while GPT-5.6 Terra ($2.50/$15) and Kimi K3 ($3/$15) target similar work for less
  • ×272K context now trails the 1M-token windows on Gemini 3.5 Pro and Kimi K3
  • ×Closed weights with no self-hosting path, so migration cost is entirely OpenAI's to price
DeepSeek logo

DeepSeek

Coding · freemium

Pros

  • V4-Flash lists $0.14/M input and $0.28/M output, roughly 36x and 107x under GPT-5.6 Sol's $5 and $30
  • Cache hits at $0.003/M make a repeated agent prefix nearly free, blending to about $0.06/M on an agent-shaped traffic mix
  • MIT-licensed 284B/13B-active weights on Hugging Face, so the same model can be self-hosted or fine-tuned
  • 1M-token context on both V4-Pro and V4-Flash handles whole codebases without chunking
  • Native Responses API plus stated Codex adaptation lets agent harnesses point at it without a chat shim

Cons

  • ×Text in, text out — no image, audio or video input, so screenshot-driven debugging is off the table
  • ×V4-Flash is a public beta: no SLA, movable rate limits, and no published throughput figure (Artificial Analysis lists Speed as N/A)
  • ×Verbose output — 210M tokens across nine evaluations against a 100M median, which eats into the cheap-token advantage
  • ×China-hosted inference, and the Responses path parks conversation state on DeepSeek's servers, a compliance question before an engineering one
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Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.