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DeepSeek-R1 0528-Qwen3-8B vs o3

DeepSeek · released

Wins 0 of 5 areas

—

OpenAI · released

Wins 4 of 5 areas

Coding · Reasoning · Long documents · Following instructions

o3 is the stronger all-rounder.

Scores updated · 17 tests both models report · How we compare

Where each one wins

Tests won in each of the five 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.

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-R1 0528-Qwen3-8BNo current price is tracked.
o3$2.00 to read · $8.00 to write$10Price from Artificial Analysis

The biggest differences

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

Where o3 pulls ahead

  • Reasons across sets of long documentsAA-LCR+59.7points aheado374.7DeepSeek-R1 0528-Qwen3-8B15
  • Follows unfamiliar, precisely checkable instructionsIFBench+51.5points aheado371.4DeepSeek-R1 0528-Qwen3-8B19.9
  • Hard command-line tasks in a real terminalTerminal-Bench Hard+35.6points aheado337.1DeepSeek-R1 0528-Qwen3-8B1.5

Where DeepSeek-R1 0528-Qwen3-8B pulls ahead

Every test, side by side

All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Codingo3

Full coding ranking

Reasoningo3

Full reasoning ranking

FactsEven

Full facts ranking

Long documentso3

Full long documents ranking

Following instructionso3

Full following instructions ranking

Other results8 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-Qwen3-8B or o3?

o3 wins four of the five areas where both have results: coding, reasoning, long documents and following instructions. DeepSeek-R1 0528-Qwen3-8B wins none. They are level on facts.

Which is better for coding?

o3. It wins 2 of the 2 coding tests both models report; DeepSeek-R1 0528-Qwen3-8B wins none.

How do you compare the two?

We use the 17 benchmark tests both models have published scores on. The verdict counts the 9 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 8 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.