DeepSeek-R1-Distill-Llama-70B vs Gemini 2.5 Pro
Wins 0 of 5 areas
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Wins 4 of 5 areas
Coding · Reasoning · Long documents · Following instructions
Gemini 2.5 Pro is the stronger all-rounder.DeepSeek-R1-Distill-Llama-70B is cheaper.
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 thinking03Gemini 2.5 Pro3 of 3 tests
- CodingWriting and fixing software02Gemini 2.5 Pro2 of 2 tests
- Long documentsFinding answers in very long texts01Gemini 2.5 Pro1 of 1 test
- Following instructionsDoing exactly what it is asked01Gemini 2.5 Pro1 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
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 84% 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 Gemini 2.5 Pro pulls ahead
- Reasons across sets of long documentsAA-LCR+59points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+43.4points ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+25points ahead
Where DeepSeek-R1-Distill-Llama-70B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+9.8points ahead
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.
CodingGemini 2.5 Pro
- Terminal-Bench HardGemini 2.5 Pro by 251.526.5+25
- SciCodeGemini 2.5 Pro by 1531.346.3+15
ReasoningGemini 2.5 Pro
- GPQA DiamondGemini 2.5 Pro by 43.440.283.6+43.4
- Humanity's Last ExamGemini 2.5 Pro by 12.95.118+12.9
- CritPtGemini 2.5 Pro by 2.602.6+2.6
FactsEven
- AA-Omniscience · AccuracyGemini 2.5 Pro by 19.919.239+19.9
- AA-Omniscience · Non-hallucinationDeepSeek-R1-Distill-Llama-70B by 9.818.99.1+9.8
Following instructionsGemini 2.5 Pro
- IFBenchGemini 2.5 Pro by 21.127.648.7+21.1
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. 2025Gemini 2.5 Pro by 47.533.380.8+47.5
- Artificial Analysis Coding IndexGemini 2.5 Pro by 35.311.446.7+35.3
- τ²-Bench Telecom (AA run)Gemini 2.5 Pro by 32.221.954.1+32.2
- AA-OmniscienceGemini 2.5 Pro by 30.1-46.4-16.4+30.1
- AIME 2025Gemini 2.5 Pro by 285583+28
- AIME 2024Gemini 2.5 Pro by 227092+22
- LiveCodeBenchGemini 2.5 Pro by 16.757.574.2+16.7
- AA IntelligenceGemini 2.5 Pro by 7.17.915+7.1
- MATH-500 (EM)Gemini 2.5 Pro by 4.394.598.8+4.3
Questions people ask
Which is better, DeepSeek-R1-Distill-Llama-70B or Gemini 2.5 Pro?
Gemini 2.5 Pro wins four of the five areas where both have results: coding, reasoning, long documents and following instructions. DeepSeek-R1-Distill-Llama-70B wins none, but costs 84% less. They are level on facts.
Which is better for coding?
Gemini 2.5 Pro. 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; Gemini 2.5 Pro costs $1.25 and $10.00. That makes DeepSeek-R1-Distill-Llama-70B about 84% 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.