GPT-5.5 vs DeepSeek-V3
OpenAI vs DeepSeek · Prices checked November 11, 2026
There is a 25.5× price gap here. DeepSeek-V3 blends to $0.4910 per million tokens; GPT-5.5 to $12.50. A single 100K-input, 10K-output job costs $0.0409 on DeepSeek-V3 against $0.8000 on GPT-5.5.
Pricing and capacity
RatesUSD per million tokens. Prices checked November 11, 2026.
| Metric | GPT-5.5 | DeepSeek-V3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $5.00 | $0.3200 | 15.6× |
| Output / 1M tokens | $30.00 | $0.8900 | 33.7× |
| Blended · 70/30calculated | $12.50 | $0.4910 | 25.5× |
| Blended · 50/50calculated | $17.50 | $0.6050 | 28.9× |
| Blended · 80/20calculated | $10.00 | $0.4340 | 23.0× |
| Blended · 20/80calculated | $25.00 | $0.7760 | 32.2× |
| Job cost · 100K + 10Kcalculated | $0.8000 | $0.0409 | 19.6× |
| Job cost · 1M + 100Kcalculated | $8.00 | $0.4090 | 19.6× |
| Context window | 1,050,000 | 64,000 | 16.4× |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
GPT-5.5 reads more in one request: 1,050,000 tokens of context against 64,000.
Benchmarks
These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.
What each model is for
GPT-5.5
OpenAI · Frontier
Released April 2026 and positioned by OpenAI as smarter and faster for complex coding, research and data-analysis work. It shipped alongside Thinking and Pro variants, neither available on the free tier, and has a published system card.
- Complex coding and data analysis
- 1M-token context
- Thinking and Pro variants for harder work
- Published system card
DeepSeek-V3
DeepSeek · Frontier
Open-weights frontier model that matched GPT-4-class quality at a fraction of the inference cost. Sparked the late-2024 cost reset.
- Frontier quality, open weights
- Aggressive pricing
- Strong code & math
- MoE architecture
Frequently asked questions
Which is cheaper, GPT-5.5 or DeepSeek-V3?
There is a 25.5× price gap here. DeepSeek-V3 blends to $0.4910 per million tokens; GPT-5.5 to $12.50. A single 100K-input, 10K-output job costs $0.0409 on DeepSeek-V3 against $0.8000 on GPT-5.5. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which has the larger context window, GPT-5.5 or DeepSeek-V3?
GPT-5.5 reads more in one request: 1,050,000 tokens of context against 64,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare GPT-5.5 and DeepSeek-V3 on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked November 11, 2026.