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DeepSeek-R1 vs o3-mini

DeepSeek · released

Wins 2 of 6 areas

Agents · Long documents

OpenAI · released

Wins 2 of 6 areas

Reasoning · Following instructions

The two are evenly matched.DeepSeek-R1 is better at agents and long documents; o3-mini at reasoning and following instructions.

Scores updated · 34 tests both models report · How we compare

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-R1$2.00 to read · $4.00 to write$6.00Price from Artificial Analysis
o3-mini$1.10 to read · $4.40 to write$5.50Price from Artificial Analysis

o3-mini costs 8% less for the same work.

The biggest differences

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

Where o3-mini pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+28.1points aheado3-mini67.1DeepSeek-R139
  • Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+9.2points aheado3-mini18.9DeepSeek-R19.7
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+6.5points aheado3-mini77.3DeepSeek-R170.8

Where DeepSeek-R1 pulls ahead

  • Reasons across sets of long documentsAA-LCR+14.7points aheadDeepSeek-R157.7o3-mini43
  • Command-line tasks in a real terminalTerminal-Bench 2.1+14.6points aheadDeepSeek-R119.1o3-mini4.5
  • Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+9.2points aheadDeepSeek-R130.5o3-mini21.3

Every test, side by side

All 34 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingEven

Full coding ranking

AgentsDeepSeek-R1

Full agents ranking

Reasoningo3-mini

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsDeepSeek-R1
  • AA-LCRDeepSeek-R1 by 14.757.743+14.7

Full long documents ranking

Following instructionso3-mini

Full following instructions ranking

Other results19 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-R1 or o3-mini?

DeepSeek-R1 and o3-mini each win two of the six areas where both have results. DeepSeek-R1 wins agents and long documents; o3-mini wins reasoning and following instructions. o3-mini costs 8% less. They are level on coding and facts.

Which is better for coding?

Neither. They win 1 coding test each of the 4 both models report, and 2 are ties.

Which is cheaper?

DeepSeek-R1 costs $2.00 per million input tokens and $4.00 per million output tokens; o3-mini costs $1.10 and $4.40. That makes o3-mini about 8% cheaper for the same work.

How do you compare the two?

We use the 34 benchmark tests both models have published scores on. The verdict counts the 15 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 19 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.