Cost by workload size
Price comparison
| Feature |  DeepSeek V4 Pro |  GPT-4o |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Input / M tokens | $1.19 | $2.50 |
| Output / M tokens | $3.56 | $10 |
| Cached input read | $0.00 | $1.25 |
| Context window | 1.0M | 128K |
| Batch discount | −50% | −50% |
| Vision | Yes | Yes |
| Audio | — | Yes |
| Reasoning tokens | Yes | — |
What your workload actually costs
Prices per token hide the real picture. Here are three common workloads computed with AITokenCalculator's own engine (medium reasoning effort, no batch, no cache):
| Workload | DeepSeek V4 Pro | GPT-4o | Cheaper |
|---|---|---|---|
| 1,000 in / 300 out | $0.00333 | $0.0055 | DeepSeek V4 Pro |
| 10,000 in / 2,000 out | $0.0261 | $0.045 | DeepSeek V4 Pro |
| 100,000 in / 20,000 out | $0.261 | $0.45 | DeepSeek V4 Pro |
| Monthly @ 1,000 req/day (standard) | $795.51 | $1,369.69 | DeepSeek V4 Pro |
Analysis
On input price, DeepSeek V4 Pro wins at $1.19/M — roughly 2.1× cheaper than its rival. Output tells a sharper story: DeepSeek V4 Pro charges $3.56/M , about 2.8× less than GPT-4o — and output is where chatty and agentic workloads bleed money.
Context capacity differs too: DeepSeek V4 Pro fits 1.0M tokens (~786,432 words) versus 128K. If you feed whole documents or codebases, that gap decides feasibility before price even matters.
The value play. DeepSeek undercuts frontier pricing by multiples while remaining competitive on coding and math benchmarks — with automatic caching that makes repetitive workloads nearly free. Trade-offs: smaller ecosystem, and data-residency policies differ from US providers.
Numbers shift as providers reprice — check the full AI model pricing table, then run your own prompt through the calculator preloaded with DeepSeek V4 Pro or with GPT-4o.