DeepSeek-R1-Distill-Llama-70B vs DeepSeek-R1-Distill-Qwen-1.5B
Wins 4 of 4 areas
Coding · Reasoning · Long documents · Following instructions
Wins 0 of 4 areas
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DeepSeek-R1-Distill-Llama-70B is the stronger all-rounder.
Scores updated · 12 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 thinking20DeepSeek-R1-Distill-Llama-70B2 of 2 tests
- CodingWriting and fixing software10DeepSeek-R1-Distill-Llama-70B1 of 1 test
- Long documentsFinding answers in very long texts10DeepSeek-R1-Distill-Llama-70B1 of 1 test
- Following instructionsDoing exactly what it is asked10DeepSeek-R1-Distill-Llama-70B1 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.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where DeepSeek-R1-Distill-Llama-70B pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+30.4points ahead
- Code for real scientific research problemsSciCode+24.7points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+14.4points ahead
Where DeepSeek-R1-Distill-Qwen-1.5B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 12 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-R1-Distill-Llama-70B
- SciCodeDeepSeek-R1-Distill-Llama-70B by 24.731.36.6+24.7
ReasoningDeepSeek-R1-Distill-Llama-70B
- GPQA DiamondDeepSeek-R1-Distill-Llama-70B by 30.440.29.8+30.4
- Humanity's Last ExamDeepSeek-R1-Distill-Llama-70B by 25.13.1+2
Long documentsDeepSeek-R1-Distill-Llama-70B
- AA-LCRDeepSeek-R1-Distill-Llama-70B by 8.3101.7+8.3
Following instructionsDeepSeek-R1-Distill-Llama-70B
- IFBenchDeepSeek-R1-Distill-Llama-70B by 14.427.613.2+14.4
Other results7 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.
- Codeforces (Rating)DeepSeek-R1-Distill-Llama-70B by 679 rating points1633954+679 rating
- AIME 2024DeepSeek-R1-Distill-Llama-70B by 41.17028.9+41.1
- LiveCodeBenchDeepSeek-R1-Distill-Llama-70B by 40.657.516.9+40.6
- AIME 2025DeepSeek-R1-Distill-Llama-70B by 355520+35
- HMMT Feb. 2025DeepSeek-R1-Distill-Llama-70B by 21.633.311.7+21.6
- MATH-500 (EM)DeepSeek-R1-Distill-Llama-70B by 10.694.583.9+10.6
- AA IntelligenceDeepSeek-R1-Distill-Llama-70B by 2.47.95.5+2.4
Questions people ask
Which is better, DeepSeek-R1-Distill-Llama-70B or DeepSeek-R1-Distill-Qwen-1.5B?
DeepSeek-R1-Distill-Llama-70B wins all four areas where both have results: coding, reasoning, long documents and following instructions. DeepSeek-R1-Distill-Qwen-1.5B wins none.
Which is better for coding?
DeepSeek-R1-Distill-Llama-70B. It wins the one coding test both models report.
How do you compare the two?
We use the 12 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 7 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.