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VECTOR WIREAI INTELLIGENCE
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DeepSeek-R1 0528 vs Gemini 2.5 Pro

DeepSeek · released

Wins 0 of 6 areas

—

Google · released

Wins 5 of 6 areas

Coding · Reasoning · Facts · Long documents · Following instructions

Gemini 2.5 Pro is the stronger all-rounder.DeepSeek-R1 0528 is cheaper.

Scores updated · 48 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 0528$1.35 to read · $3.00 to write$4.35Price from Artificial Analysis
Gemini 2.5 Pro$1.25 to read · $10.00 to write$11Price from Google's own price page

DeepSeek-R1 0528 costs 61% 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 Gemini 2.5 Pro pulls ahead

  • Short factual questions, answered correctlySimpleQA Verified+28.6points aheadGemini 2.5 Pro56DeepSeek-R1 052827.4
  • Fixes real GitHub issues in Python projectsSWE-bench Verified+18.6points aheadGemini 2.5 Pro63.2DeepSeek-R1 052844.6
  • Reasons across sets of long documentsAA-LCR+13.3points aheadGemini 2.5 Pro69DeepSeek-R1 052855.7

Where DeepSeek-R1 0528 pulls ahead

Every test, side by side

All 48 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingGemini 2.5 Pro

Full coding ranking

AgentsEven

Full agents ranking

ReasoningGemini 2.5 Pro

Full reasoning ranking

FactsGemini 2.5 Pro

Full facts ranking

Long documentsGemini 2.5 Pro

Full long documents ranking

Following instructionsGemini 2.5 Pro

Full following instructions ranking

Other results32 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 0528 or Gemini 2.5 Pro?

Gemini 2.5 Pro wins five of the six areas where both have results: coding, reasoning, facts, long documents and following instructions. DeepSeek-R1 0528 wins none, but costs 61% less. They are level on agents.

Which is better for coding?

Gemini 2.5 Pro. It wins 3 of the 3 coding tests both models report; DeepSeek-R1 0528 wins none.

Which is cheaper?

DeepSeek-R1 0528 costs $1.35 per million input tokens and $3.00 per million output tokens; Gemini 2.5 Pro costs $1.25 and $10.00. That makes DeepSeek-R1 0528 about 61% cheaper for the same work.

How do you compare the two?

We use the 48 benchmark tests both models have published scores on. The verdict counts the 16 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 32 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.