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.
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.
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
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- ×Superseded by the GPT-5.6 family in June 2026, including as the model behind Codex — this is prior-generation now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
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
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.