Every line, version by version
DeepSeek V4-Pro vs DeepSeek V4-Flash 0731: prices per token, context window, benchmark scores, and what changed between the two versions.
Prices are read live from the provider pricing pages, so this table cannot go stale.
| Version | Tier | Status | Released | Input | Output | Cached | Context | Blended /1M | Sample /mo |
|---|---|---|---|---|---|---|---|---|---|
4 Price your own usage | Flagship | Active | — | $1.32 | $3.96 | $0.044 | 1,000K | $2.64 | Peak hours $3.30Off-peak hours $1.65 |
4 | Fast | Legacy | — | — | — | — | — | — | — |
Sample cost = 1M input + 500K output tokens per month at list price. A model with a long-context band is priced on that band — the rule is printed in the row. Use the calculator below for your own workload.
The versions of this line that have a published, traceable score record. 16 benchmarks tracked
DeepSeek V4-Pro 0813 leads on 15 of 15 shared benchmarks.
| Dimension | DeepSeek V4-Pro 0813 | DeepSeek V4-Flash 0731 |
|---|---|---|
| GPQA Diamond | 92.4% | 89.9% |
| HLE | 42.7% | 37.8% |
| Codeforces (Rating) | 3348 | 3289 |
| MathArena Apex | 65.3% | 58.6% |
| Terminal-Bench 2.1 | 87.9% | 82.7% |
| Terminal-Bench 3.0 | 11.8% | 7.6% |
| Terminal-Bench 4.0 | 12.4% | 7% |
| DeepSWE v1.1 | 62.7% | 54.4% |
| ProgramBench | 15.5% | — |
| NL2Repo-Bench | 61.5% | 54.2% |
| CyberGym | 83.3% | 76.7% |
| SEC-Bench Pro | 56.4% | 30.9% |
| ExploitGym | 5.4% | 1.8% |
| HLE (w/tools) | 60% | 51.5% |
| Automation-Bench | 43.2% | 37.7% |
| Agents' Last Exam | 25.7% | 25.2% |
| Blended price | $2.64 /1M | — |
| Full priceInput · Output · Cached input | $1.32 · $3.96 · $0.044 | — |
| Context window | 1,000K | — |
Transcribed from the sources named on each leaderboard entry. Coverage differs per version; a missing cell means the source did not report that benchmark.
Adjust the monthly volume — every version of the line recomputes instantly.
List price only: cached input, batch discounts and off-peak rates are not included. The sample column prices 1M input + 500K output tokens per month.