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DeepSeek-R1-Distill-Llama-8B vs Llama 3.1 8B Instruct

DeepSeek · released

Wins 0 of 4 areas

—

Meta · released

Wins 3 of 4 areas

Coding · Long documents · Following instructions

Llama 3.1 8B Instruct is the stronger all-rounder.

Scores updated · 16 tests both models report · How we compare

Where each one wins

Tests won in each of the four 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.

Coding, 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-Distill-Llama-8B$0.05 to read · $0.05 to write$0.10Price from nscale
Llama 3.1 8B Instruct$0.02 to read · $0.05 to write$0.07Price from Artificial Analysis

Llama 3.1 8B Instruct costs 30% 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 Llama 3.1 8B Instruct pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+11points aheadLlama 3.1 8B Instruct28.6DeepSeek-R1-Distill-Llama-8B17.6
  • Code for real scientific research problemsSciCode+1.3points aheadLlama 3.1 8B Instruct13.2DeepSeek-R1-Distill-Llama-8B11.9
  • Very hard expert questions across many subjectsHumanity's Last Exam+1.1points aheadLlama 3.1 8B Instruct5.3DeepSeek-R1-Distill-Llama-8B4.2

Where DeepSeek-R1-Distill-Llama-8B pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+4.3points aheadDeepSeek-R1-Distill-Llama-8B30.2Llama 3.1 8B Instruct25.9

Every test, side by side

All 16 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingLlama 3.1 8B Instruct
  • SciCodeLlama 3.1 8B Instruct by 1.311.913.2+1.3

Full coding ranking

ReasoningEven

Full reasoning ranking

Long documentsLlama 3.1 8B Instruct
  • AA-LCRLlama 3.1 8B Instruct by 18018+18

Full long documents ranking

Following instructionsLlama 3.1 8B Instruct
  • IFBenchLlama 3.1 8B Instruct by 1117.628.6+11

Full following instructions ranking

Other results11 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.

  • AttaQLlama 3.1 8B Instruct by 40.542.983.4+40.5
  • Arena HardLlama 3.1 8B Instruct by 19.217.236.4+19.2
  • HumanEval+Llama 3.1 8B Instruct by 17.362.980.2+17.3
  • PopQALlama 3.1 8B Instruct by 15.513.328.8+15.5
  • DROPLlama 3.1 8B Instruct by 9.849.759.5+9.8
  • GSM8KLlama 3.1 8B Instruct by 7.672.279.8+7.6
  • BigBenchHardLlama 3.1 8B Instruct by 667.473.4+6
  • TruthfulQALlama 3.1 8B Instruct by 5.447.452.8+5.4
  • AlpacaEval-2.0Llama 3.1 8B Instruct by 5.321.927.2+5.3
  • HumanEvalLlama 3.1 8B Instruct by 5.167.572.6+5.1
  • AA Intelligencetie6.56.9tie

Questions people ask

Which is better, DeepSeek-R1-Distill-Llama-8B or Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct wins three of the four areas where both have results: coding, long documents and following instructions. DeepSeek-R1-Distill-Llama-8B wins none. They are level on reasoning.

Which is better for coding?

Llama 3.1 8B Instruct. It wins the one coding test both models report.

Which is cheaper?

DeepSeek-R1-Distill-Llama-8B costs $0.05 per million input tokens and $0.05 per million output tokens; Llama 3.1 8B Instruct costs $0.02 and $0.05. That makes Llama 3.1 8B Instruct about 30% cheaper for the same work.

How do you compare the two?

We use the 16 benchmark tests both models have published scores on. The verdict counts the 5 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 11 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.