Every line, version by version
DeepSeek V4.1-Flash 1017 vs DeepSeek V4.1-Flash 0910: 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 | Status | Released | Input | Output | Cached | Context | Blended /1M | Sample /mo |
|---|---|---|---|---|---|---|---|---|
4.1 Checkpoint DeepSeek-V4.1-Flash-1017 (released 2026-10-17), served under the API model name `deepseek-flash`; open weights on Hugging Face / ModelScope. The 2026-09-10 launch price is unchanged. The launch checkpoint is kept as its own row (deepseek-flash-0910). Price your own usage | Active | 2026-10-17 | $0.300 | $1.20 | $0.0060 | 1,000K | $0.750 | Peak hours $0.900Off-peak hours $0.450 |
DeepSeek V4.1-Flash 0910Cheapest 4.1 Launch checkpoint of 2026-09-10 — the one the launch announcement's reference table was measured on. Superseded by the 1017 checkpoint on 2026-10-17; the API no longer serves it (`deepseek-flash` now routes to 1017). Rates are identical to the live checkpoint; kept for long-tail search and for the launch post's score table. Price your own usage | Legacy | 2026-09-10 | $0.300 | $1.20 | $0.0060 | 1,000K | $0.750 | Peak hours $0.900Off-peak hours $0.450 |
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. 20 benchmarks tracked
DeepSeek V4.1-Flash 1017 leads on 10 of 10 shared benchmarks.
| Dimension | DeepSeek V4.1-Flash 1017 | DeepSeek V4.1-Flash 0910 |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| HLE | 42.6% | 36.8% |
| Codeforces (Rating) | — | 3471 |
| Apex Bench v1.1 | 72.1% | — |
| MathArena Apex | — | 65.6% |
| Terminal-Bench 2.1 | — | 90.6% |
| Terminal-Bench 3.0 | — | 30% |
| Terminal-Bench 4.0 | 42.3% | 31.2% |
| DeepSWE v1.1 | 77% | 74.2% |
| ProgramBench | 29.1% | 20.3% |
| NL2Repo-Bench | 68.2% | 65.4% |
| CyberGym | — | 88.1% |
| SEC-Bench Pro | — | 62.8% |
| ExploitGym | — | 15.3% |
| HLE (w/tools) | — | 63.9% |
| Automation-Bench | 60.5% | 54.8% |
| Agents' Last Exam | 35.4% | 31.8% |
| Chartography (w/tools) | 83% | 78.9% |
| BabyVision (w/tools) | 92.5% | 89.6% |
| ZeroBench-main (w/tools) | 51% | 49% |
| Blended price | $0.750 /1M | $0.750 /1M |
| Full priceInput · Output · Cached input | $0.300 · $1.20 · $0.0060 | $0.300 · $1.20 · $0.0060 |
| Context window | 1,000K | 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.