DeepSeek-V4-Pro vs Qwen3.5 27B
Wins 5 of 7 areas
Coding · Agents · Reasoning · Facts · Math
Wins 1 of 7 areas
Long documents
DeepSeek-V4-Pro is the stronger all-rounder.Qwen3.5 27B is better at long documents.
Scores updated · 35 tests both models report · How we compare
Where each one wins
Tests won in each of the seven 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.
- CodingWriting and fixing software70DeepSeek-V4-Pro7 of 7 tests
- AgentsCarrying out multi-step tasks on its own30DeepSeek-V4-Pro3 of 4 tests · 1 tie
- ReasoningHard problems that need careful thinking30DeepSeek-V4-Pro3 of 3 tests
- MathCompetition and research-level math30DeepSeek-V4-Pro3 of 3 tests
- FactsGetting facts right instead of making them up21DeepSeek-V4-Pro2 of 3 tests
- Long documentsFinding answers in very long texts01Qwen3.5 27B1 of 1 test
- Following instructionsDoing exactly what it is asked00Even0 each · 1 tie
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-V4-Pro costs 52% 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 DeepSeek-V4-Pro pulls ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+22.4points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+22.3points ahead
- Harvard-MIT high-school math contest problemsHMMT Feb. 2026+14.1points ahead
Where Qwen3.5 27B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+12.6points ahead
- Reasons across sets of long documentsAA-LCR+3points ahead
Every test, side by side
All 35 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V4-Pro
- Terminal-Bench HardDeepSeek-V4-Pro by 13.646.232.6+13.6
- LiveCodeBench v6DeepSeek-V4-Pro by 11.892.580.7+11.8
- SciCodeDeepSeek-V4-Pro by 11.350.839.5+11.3
- LMArena · WebDevDeepSeek-V4-Pro by 107 rating points14641357+107 rating
- SWE-bench VerifiedDeepSeek-V4-Pro by 8.280.672.4+8.2
- SWE-bench MultilingualDeepSeek-V4-Pro by 6.976.269.3+6.9
- SWE-bench ProDeepSeek-V4-Pro by 4.255.451.2+4.2
AgentsDeepSeek-V4-Pro
- BrowseCompDeepSeek-V4-Pro by 22.483.461+22.4
- MCP AtlasDeepSeek-V4-Pro by 5.273.668.4+5.2
- AA IT-Bench SREDeepSeek-V4-Pro by 2.838.335.5+2.8
- GDPValtie32.933tie
ReasoningDeepSeek-V4-Pro
- Humanity's Last ExamDeepSeek-V4-Pro by 13.637.523.9+13.6
- CritPtDeepSeek-V4-Pro by 1212.90.9+12
- GPQA DiamondDeepSeek-V4-Pro by 388.885.8+3
FactsDeepSeek-V4-Pro
- AA-Omniscience · AccuracyDeepSeek-V4-Pro by 22.34320.7+22.3
- AA-Omniscience · Non-hallucinationQwen3.5 27B by 12.65.918.5+12.6
- Vectara HHEM hallucination ratelower is betterDeepSeek-V4-Pro by 3.58.612.1+3.5
MathDeepSeek-V4-Pro
- HMMT Feb. 2026DeepSeek-V4-Pro by 14.195.281.1+14.1
- IMOAnswerBenchDeepSeek-V4-Pro by 9.989.879.9+9.9
- AIME 2026DeepSeek-V4-Pro by 596.791.7+5
Other results13 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.
- AA-OmniscienceDeepSeek-V4-Pro by 33.3-10.7-44+33.3
- AA Agentic IndexQwen3.5 27B by 26.927.754.6+26.9
- Terminal-Bench 2.0DeepSeek-V4-Pro by 26.367.941.6+26.3
- Artificial Analysis Coding IndexDeepSeek-V4-Pro by 24.559.434.9+24.5
- Tool-DecathlonDeepSeek-V4-Pro by 21.352.831.5+21.3
- NL2RepoDeepSeek-V4-Pro by 11.238.527.3+11.2
- AA IntelligenceDeepSeek-V4-Pro by 7.530.422.9+7.5
- vectara_avg_summary_lengthDeepSeek-V4-Pro by 59.4 rating points153.894.4+59.4 rating
- HMMT Nov. 2025DeepSeek-V4-Pro by 4.694.489.8+4.6
- vectara_factual_consistencyDeepSeek-V4-Pro by 3.591.487.9+3.5
- vectara_answer_rateQwen3.5 27B by 2.697.299.8+2.6
- τ²-Bench Telecom (AA run)DeepSeek-V4-Pro by 2.396.293.9+2.3
- MMLU-ProDeepSeek-V4-Pro by 1.487.586.1+1.4
Questions people ask
Which is better, DeepSeek-V4-Pro or Qwen3.5 27B?
DeepSeek-V4-Pro wins five of the seven areas where both have results: coding, agents, reasoning, facts and math. Qwen3.5 27B wins long documents. They are level on following instructions.
Which is better for coding?
DeepSeek-V4-Pro. It wins 7 of the 7 coding tests both models report; Qwen3.5 27B wins none.
Which is cheaper?
DeepSeek-V4-Pro costs $0.43 per million input tokens and $0.87 per million output tokens; Qwen3.5 27B costs $0.30 and $2.40. That makes DeepSeek-V4-Pro about 52% cheaper for the same work.
How do you compare the two?
We use the 35 benchmark tests both models have published scores on. The verdict counts the 22 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 13 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.