DeepSeek-R1-Distill-Llama-70B vs Qwen3 235B A22B
Wins 1 of 5 areas
Long documents
Wins 4 of 5 areas
Coding · Reasoning · Facts · Following instructions
Qwen3 235B A22B is the stronger all-rounder.DeepSeek-R1-Distill-Llama-70B is cheaper and better at long documents.
Scores updated · 18 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.
- ReasoningHard problems that need careful thinking02Qwen3 235B A22B2 of 3 tests · 1 tie
- CodingWriting and fixing software02Qwen3 235B A22B2 of 2 tests
- FactsGetting facts right instead of making them up01Qwen3 235B A22B1 of 2 tests · 1 tie
- Following instructionsDoing exactly what it is asked01Qwen3 235B A22B1 of 1 test
- Long documentsFinding answers in very long texts10DeepSeek-R1-Distill-Llama-70B1 of 1 test
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-70B costs 49% 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 Qwen3 235B A22B pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+29.8points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+11.1points ahead
- Code for real scientific research problemsSciCode+8.6points ahead
Where DeepSeek-R1-Distill-Llama-70B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 18 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3 235B A22B
- SciCodeQwen3 235B A22B by 8.631.339.9+8.6
- Terminal-Bench HardQwen3 235B A22B by 4.61.56.1+4.6
ReasoningQwen3 235B A22B
- GPQA DiamondQwen3 235B A22B by 29.840.270+29.8
- Humanity's Last ExamQwen3 235B A22B by 5.95.111+5.9
- CritPttie00tie
FactsQwen3 235B A22B
- AA-Omniscience · Non-hallucinationQwen3 235B A22B by 3.518.922.4+3.5
- AA-Omniscience · Accuracytie19.218.5tie
Long documentsDeepSeek-R1-Distill-Llama-70B
- AA-LCRDeepSeek-R1-Distill-Llama-70B by 10100+10
Following instructionsQwen3 235B A22B
- IFBenchQwen3 235B A22B by 11.127.638.7+11.1
Other results9 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.
- HMMT Feb. 2025Qwen3 235B A22B by 29.233.362.5+29.2
- AIME 2025Qwen3 235B A22B by 26.55581.5+26.5
- AIME 2024Qwen3 235B A22B by 15.77085.7+15.7
- LiveCodeBenchQwen3 235B A22B by 13.257.570.7+13.2
- Artificial Analysis Coding IndexQwen3 235B A22B by 611.417.4+6
- MATH-500 (EM)DeepSeek-R1-Distill-Llama-70B by 3.394.591.2+3.3
- τ²-Bench Telecom (AA run)Qwen3 235B A22B by 2.121.924+2.1
- AA-OmniscienceQwen3 235B A22B by 1.7-46.4-44.7+1.7
- AA IntelligenceQwen3 235B A22B by 1.67.99.5+1.6
Questions people ask
Which is better, DeepSeek-R1-Distill-Llama-70B or Qwen3 235B A22B?
Qwen3 235B A22B wins four of the five areas where both have results: coding, reasoning, facts and following instructions. DeepSeek-R1-Distill-Llama-70B wins long documents, and costs 49% less.
Which is better for coding?
Qwen3 235B A22B. It wins 2 of the 2 coding tests both models report; DeepSeek-R1-Distill-Llama-70B wins none.
Which is cheaper?
DeepSeek-R1-Distill-Llama-70B costs $0.70 per million input tokens and $1.10 per million output tokens; Qwen3 235B A22B costs $0.70 and $2.80. That makes DeepSeek-R1-Distill-Llama-70B about 49% cheaper for the same work.
How do you compare the two?
We use the 18 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 9 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.