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VECTOR WIREAI INTELLIGENCE
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DeepSeek-V3.1-Terminus vs Gemini 2.5 Pro

DeepSeek · released

Wins 3 of 6 areas

Coding · Agents · Following instructions

Google · released

Wins 1 of 6 areas

Reasoning

DeepSeek-V3.1-Terminus wins more areas, narrowly.Gemini 2.5 Pro is better at reasoning.

Scores updated · 21 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-V3.1-Terminus$0.27 to read · $1.00 to write$1.27Price from Artificial Analysis
Gemini 2.5 Pro$1.25 to read · $10.00 to write$11Price from Artificial Analysis

DeepSeek-V3.1-Terminus costs 89% less for the same work.

The biggest differences

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

Where DeepSeek-V3.1-Terminus pulls ahead

Where Gemini 2.5 Pro pulls ahead

  • Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+11.4points aheadGemini 2.5 Pro39DeepSeek-V3.1-Terminus27.7
  • Code for real scientific research problemsSciCode+8.3points aheadGemini 2.5 Pro46.3DeepSeek-V3.1-Terminus38
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+4.4points aheadGemini 2.5 Pro83.6DeepSeek-V3.1-Terminus79.2

Every test, side by side

All 21 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingDeepSeek-V3.1-Terminus

Full coding ranking

AgentsDeepSeek-V3.1-Terminus

Full agents ranking

ReasoningGemini 2.5 Pro

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsEven

Full long documents ranking

Following instructionsDeepSeek-V3.1-Terminus

Full following instructions ranking

Other results7 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-V3.1-Terminus or Gemini 2.5 Pro?

DeepSeek-V3.1-Terminus wins three of the six areas where both have results: coding, agents and following instructions. Gemini 2.5 Pro wins reasoning. They are level on facts and long documents.

Which is better for coding?

DeepSeek-V3.1-Terminus. It wins 2 of the 3 coding tests both models report; Gemini 2.5 Pro wins 1.

Which is cheaper?

DeepSeek-V3.1-Terminus costs $0.27 per million input tokens and $1.00 per million output tokens; Gemini 2.5 Pro costs $1.25 and $10.00. That makes DeepSeek-V3.1-Terminus about 89% cheaper for the same work.

How do you compare the two?

We use the 21 benchmark tests both models have published scores on. The verdict counts the 14 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 7 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.