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VECTOR WIREAI INTELLIGENCE
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DeepSeek-V3 vs o1

DeepSeek · released

Wins 1 of 6 areas

Coding

OpenAI · released

Wins 5 of 6 areas

Agents · Reasoning · Facts · Long documents · Following instructions

o1 is the stronger all-rounder.DeepSeek-V3 is cheaper and better at coding.

Scores updated · 38 tests both models report · How we compare

Where each one wins

Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Agents, long documents and following instructions rest on a single test each.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

DeepSeek-V3$0.24 to read · $0.90 to write$1.14Price from Artificial Analysis
o1$15.00 to read · $60.00 to write$75Price from Artificial Analysis

DeepSeek-V3 costs 98% less for the same work.

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where o1 pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+29.3points aheado170.3DeepSeek-V341
  • Reasons across sets of long documentsAA-LCR+24.3points aheado165DeepSeek-V340.7
  • Common-sense trick questionsSimpleBench+21.2points aheado140.1DeepSeek-V318.9

Where DeepSeek-V3 pulls ahead

  • Code for real scientific research problemsSciCode+3.2points aheadDeepSeek-V339o135.8
  • Hard command-line tasks in a real terminalTerminal-Bench Hard+2.3points aheadDeepSeek-V315.2o112.9

Every test, side by side

All 38 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingDeepSeek-V3

Full coding ranking

Agentso1

Full agents ranking

Reasoningo1

Full reasoning ranking

Factso1

Full facts ranking

Long documentso1

Full long documents ranking

Following instructionso1

Full following instructions ranking

Other results26 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, DeepSeek-V3 or o1?

o1 wins five of the six areas where both have results: agents, reasoning, facts, long documents and following instructions. DeepSeek-V3 wins coding, and costs 98% less.

Which is better for coding?

DeepSeek-V3. It wins 2 of the 3 coding tests both models report; o1 wins none, and 1 is a tie.

Which is cheaper?

DeepSeek-V3 costs $0.24 per million input tokens and $0.90 per million output tokens; o1 costs $15.00 and $60.00. That makes DeepSeek-V3 about 98% cheaper for the same work.

How do you compare the two?

We use the 38 benchmark tests both models have published scores on. The verdict counts the 12 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 26 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.