AI Agent StoreNone
Tested mode-59.0 pts vs High
1,460 output tokens
DeepSeek · REASONING EFFORT GUIDEDeepSeek V4 Pro
DeepSeek V4 Pro
How much thinking?
Compare None vs High vs Max where tested. Find the effort setting that fits your task, and see how much extra reasoning changes the result.
SAME MODEL. DIFFERENT THINKING.
Find DeepSeek V4 Pro’s useful effort.
OckBench
Correct answers out of 200 problems. Domain proportions are 100 math, 60 coding and 40 science.
200 selected problems · Source release date not specified · Reviewed September 23, 2026Check the source ↗YOUR NEAR-BEST PICKHigh
Lowest measured token use within 1.0 points of the best tested overall accuracy.
84.0 / 100 · 43,652 output tokensExact best1.0 pts10 pts
Set 0 for the highest score. Increase the gap to explore cheaper or lighter options.
THE EFFORT CURVE
Does more thinking help?
● Near-best pickOrange = score decreased
Scores out of 100 · Full 0–100 scale · tap a point to select mode B. Cyan band: within 1.0 points of the best tested score.
WHAT YOU SPEND
Tokens used to answer
Source-reported average output tokens for the selected scope.
None1,460
HighNear-best pick43,652
Max81,408
Within this benchmark and harness. Your task mix, tools, caching and endpoint can change the result.
Score difference · B minus A0.0 pts
Small gap · same observed score
Score spread in this sweep59.0 pts
Best minus lowest tested score
Highest observed score84.0
High
Gap labels are editorial: under 1 point is small, 1–under 5 noticeable, 5+ large. They do not establish statistical significance. A tied score does not prove equivalent behavior.
EVERY TESTED MODE
3 modes · missing levels are not interpolatedThe numbers behind the choice
25.0 / 100
High
Near-best pick0.0 pts vs High
43,652 output tokens
Max
Another mode trades better0.0 pts vs High
81,408 output tokens
Full benchmark table & exact configuration IDs
Swipe inside the table for all measures. Figures from different study selections are not directly comparable.
| Effort | Overall accuracy | Mathematics | Coding tests | Science | Cost / task | Median seconds | Output tokens | Exact source ID |
|---|---|---|---|---|---|---|---|---|
| None | 25.0 | 16.0 | 26.7 | 45.0 | — | — | 1,460 | deepseek-v4-pro-none |
| High | 84.0 | 85.0 | 85.0 | 80.0 | — | — | 43,652 | deepseek-v4-pro-high |
| Max | 84.0 | 85.0 | 88.3 | 75.0 | — | — | 81,408 | deepseek-v4-pro-max |
SCALE THE OBSERVED COST
Effort cost difference calculator
What would A versus B cost if you repeated this benchmark’s average workload?
A · High—
B · Max—
Difference—No measured cost for this sweep
This source has no comparable dollar-cost observation. Use the token calculator below with your own usage; token counts alone cannot supply a full bill.
YOUR WORKLOAD
Reasoning-token cost calculator
Estimate the extra bill from thinking tokens. The starting token counts are editable examples, not measurements of DeepSeek V4 Pro. Rates start from our September 23 model snapshot.
A · High$13.37estimated monthly cost
B · Max$21.02estimated monthly cost
Mode B costs $7.64 more per month with these assumptions.
Standard text-token arithmetic. Excludes retries, tools, caching, long-context premiums, hosting and taxes. Includes thinking in output billing; do not also include it in “visible output.” Check endpoint limits separately. Changing mode does not automatically predict tokens or quality.
DeepSeek V4 Pro effort benchmarks at a glance
Each card is its own comparable sweep. Scores from different benchmarks or question sets measure different work and are not averaged together.
Math, code & science · OckBench
Correct answers out of 200 problems. Domain proportions are 100 math, 60 coding and 40 science.
- None
- 25.0
- High · pick
- 84.0
- Max
- 84.0
Near-best pick: High at 1-point tolerance. Score spread: 59.0 points.
Explore this sweep ↗Reasoning effort, explained
Which DeepSeek V4 Pro thinking level is most efficient?
High is the lowest-token option within 1 point of the best overall accuracy in OckBench. The tested score range is 59.0 points. This uses a 1-point practical tolerance in the first listed study. Change the evidence, task measure and tolerance above to get a recommendation for another benchmark. It is a shortlist for testing your own workload.
Which DeepSeek V4 Pro effort settings are compared?
None, High, Max appear in the collected studies. Each chart only includes modes tested together in that study. These published labels do not establish that every endpoint or application exposes every setting.
Does more effort improve DeepSeek V4 Pro?
In the first listed OckBench sweep, the tested score range is 59.0 points and no adjacent effort increase lowers the score. This does not guarantee a gain on every task or in another harness.
How much more does high effort cost for DeepSeek V4 Pro?
Use the A/B selector and measured-cost calculator when the source reports dollar costs. For your own agent, enter average input, visible output and thinking tokens in the token calculator. Higher effort is adaptive, so the label itself cannot tell you the bill. Missing costs stay missing.