DeepSeek-R1-Distill-Llama-8B vs Qwen2.5 Instruct 72B
Wins 0 of 4 areas
—
Wins 4 of 4 areas
Coding · Reasoning · Long documents · Following instructions
Qwen2.5 Instruct 72B is the stronger all-rounder.DeepSeek-R1-Distill-Llama-8B is cheaper.
Scores updated · 13 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.
- ReasoningHard problems that need careful thinking01Qwen2.5 Instruct 72B1 of 2 tests · 1 tie
- CodingWriting and fixing software01Qwen2.5 Instruct 72B1 of 1 test
- Long documentsFinding answers in very long texts01Qwen2.5 Instruct 72B1 of 1 test
- Following instructionsDoing exactly what it is asked01Qwen2.5 Instruct 72B1 of 1 test
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 costs 90% 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 Qwen2.5 Instruct 72B pulls ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+19.3points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+18.9points ahead
- Code for real scientific research problemsSciCode+14.8points ahead
Where DeepSeek-R1-Distill-Llama-8B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
ReasoningQwen2.5 Instruct 72B
- GPQA DiamondQwen2.5 Instruct 72B by 18.930.249.1+18.9
- Humanity's Last Examtie4.23.6tie
Following instructionsQwen2.5 Instruct 72B
- IFBenchQwen2.5 Instruct 72B by 19.317.636.9+19.3
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.
- Arena HardQwen2.5 Instruct 72B by 6417.281.2+64
- AIME 2024DeepSeek-R1-Distill-Llama-8B by 27.150.423.3+27.1
- DROPQwen2.5 Instruct 72B by 2749.776.7+27
- GSM8KQwen2.5 Instruct 72B by 23.672.295.8+23.6
- HumanEvalQwen2.5 Instruct 72B by 19.167.586.6+19.1
- LiveCodeBenchQwen2.5 Instruct 72B by 15.939.655.5+15.9
- MATH-500 (EM)DeepSeek-R1-Distill-Llama-8B by 9.189.180+9.1
- AA IntelligenceQwen2.5 Instruct 72B by 1.26.57.7+1.2
Questions people ask
Which is better, DeepSeek-R1-Distill-Llama-8B or Qwen2.5 Instruct 72B?
Qwen2.5 Instruct 72B wins all four areas where both have results: coding, reasoning, long documents and following instructions. DeepSeek-R1-Distill-Llama-8B wins none, but costs 90% less.
Which is better for coding?
Qwen2.5 Instruct 72B. 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; Qwen2.5 Instruct 72B costs $0.47 and $0.49. That makes DeepSeek-R1-Distill-Llama-8B about 90% cheaper for the same work.
How do you compare the two?
We use the 13 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 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.