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VECTOR WIREAI INTELLIGENCE
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Llama 3.1 70B Instruct vs Qwen2 Instruct (72B)

Meta · released

Wins 2 of 2 areas

Coding · Reasoning

Alibaba · released

Wins 0 of 2 areas

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Llama 3.1 70B Instruct is the stronger all-rounder.

Scores updated · 21 tests both models report · How we compare

Where each one wins

Tests won in each of the two 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 rests on a single test.

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.

Llama 3.1 70B Instruct$0.56 to read · $0.56 to write$1.12Price from Artificial Analysis
Qwen2 Instruct (72B)No current price is tracked.

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 70B Instruct pulls ahead

  • Code for real scientific research problemsSciCode+3.8points aheadLlama 3.1 70B Instruct26.7Qwen2 Instruct (72B)22.9
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+3.8points aheadLlama 3.1 70B Instruct40.9Qwen2 Instruct (72B)37.1

Where Qwen2 Instruct (72B) pulls ahead

No clear win on a test scored out of 100.

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.

CodingLlama 3.1 70B Instruct
  • SciCodeLlama 3.1 70B Instruct by 3.826.722.9+3.8

Full coding ranking

ReasoningLlama 3.1 70B Instruct

Full reasoning ranking

Other results18 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, Llama 3.1 70B Instruct or Qwen2 Instruct (72B)?

Llama 3.1 70B Instruct wins all two areas where both have results: coding and reasoning. Qwen2 Instruct (72B) wins none.

Which is better for coding?

Llama 3.1 70B Instruct. It wins the one coding test both models report.

How do you compare the two?

We use the 21 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 18 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.