DeepSeek-V4-Pro vs Qwen3.5 122B A10B
Wins 4 of 6 areas
Coding · Agents · Reasoning · Facts
Wins 1 of 6 areas
Long documents
DeepSeek-V4-Pro is the stronger all-rounder.Qwen3.5 122B A10B is cheaper and better at long documents.
Scores updated · 33 tests both models report · How we compare
Where each one wins
Tests won in each of the six 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 software80DeepSeek-V4-Pro8 of 8 tests
- AgentsCarrying out multi-step tasks on its own40DeepSeek-V4-Pro4 of 4 tests
- ReasoningHard problems that need careful thinking30DeepSeek-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 122B A10B1 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.
Qwen3.5 122B A10B costs 32% 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+19.6points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+18.6points ahead
- Real work tasks from 44 professionsGDPVal+17.1points ahead
Where Qwen3.5 122B A10B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+7points ahead
- Reasons across sets of long documentsAA-LCR+1.6points ahead
Every test, side by side
All 33 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V4-Pro
- Terminal-Bench 2.1DeepSeek-V4-Pro by 16.46447.6+16.4
- Terminal-Bench HardDeepSeek-V4-Pro by 15.146.231.1+15.1
- SWE-bench MultilingualDeepSeek-V4-Pro by 14.276.262+14.2
- LiveCodeBench v6DeepSeek-V4-Pro by 13.692.578.9+13.6
- SciCodeDeepSeek-V4-Pro by 11.150.839.7+11.1
- SWE-bench ProDeepSeek-V4-Pro by 10.555.444.9+10.5
- LMArena · WebDevDeepSeek-V4-Pro by 104 rating points14641360+104 rating
- SWE-bench VerifiedDeepSeek-V4-Pro by 8.680.672+8.6
AgentsDeepSeek-V4-Pro
- BrowseCompDeepSeek-V4-Pro by 19.683.463.8+19.6
- GDPValDeepSeek-V4-Pro by 17.132.815.7+17.1
- τ-Bench V3 · BankingDeepSeek-V4-Pro by 14.830.115.3+14.8
- Terminal-Bench 4.0DeepSeek-V4-Pro by 14.614.60+14.6
ReasoningDeepSeek-V4-Pro
- CritPtDeepSeek-V4-Pro by 12.312.90.6+12.3
- Humanity's Last ExamDeepSeek-V4-Pro by 12.337.525.2+12.3
- GPQA DiamondDeepSeek-V4-Pro by 3.188.885.7+3.1
FactsDeepSeek-V4-Pro
- AA-Omniscience · AccuracyDeepSeek-V4-Pro by 18.64324.4+18.6
- AA-Omniscience · Non-hallucinationQwen3.5 122B A10B by 75.912.9+7
- Vectara HHEM hallucination ratelower is betterDeepSeek-V4-Pro by 2.68.611.2+2.6
Long documentsQwen3.5 122B A10B
- AA-LCRQwen3.5 122B A10B by 1.674.776.3+1.6
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.
- GDPval-AA v2DeepSeek-V4-Pro by 445 rating points1306861+445 rating
- AA-OmniscienceDeepSeek-V4-Pro by 30.8-10.7-41.5+30.8
- Terminal-Bench 2.0DeepSeek-V4-Pro by 18.567.949.4+18.5
- AA Agentic IndexDeepSeek-V4-Pro by 18.127.79.6+18.1
- AA IntelligenceDeepSeek-V4-Pro by 14.830.415.6+14.8
- Artificial Analysis Coding IndexDeepSeek-V4-Pro by 13.759.445.7+13.7
- τ³-Bench BankingDeepSeek-V4-Pro by 11.82614.2+11.8
- vectara_avg_summary_lengthDeepSeek-V4-Pro by 67.4 rating points153.886.4+67.4 rating
- MMLU-ReduxQwen3.5 122B A10B by 3.290.894+3.2
- vectara_answer_rateQwen3.5 122B A10B by 2.697.299.8+2.6
- vectara_factual_consistencyDeepSeek-V4-Pro by 2.691.488.8+2.6
- τ²-Bench Telecom (AA run)DeepSeek-V4-Pro by 2.696.293.6+2.6
- MMLU-Protie87.586.7tie
Questions people ask
Which is better, DeepSeek-V4-Pro or Qwen3.5 122B A10B?
DeepSeek-V4-Pro wins four of the six areas where both have results: coding, agents, reasoning and facts. Qwen3.5 122B A10B wins long documents, and costs 32% less. They are level on following instructions.
Which is better for coding?
DeepSeek-V4-Pro. It wins 8 of the 8 coding tests both models report; Qwen3.5 122B A10B wins none.
Which is cheaper?
DeepSeek-V4-Pro costs $1.32 per million input tokens and $3.96 per million output tokens; Qwen3.5 122B A10B costs $0.40 and $3.20. That makes Qwen3.5 122B A10B about 32% cheaper for the same work.
How do you compare the two?
We use the 33 benchmark tests both models have published scores on. The verdict counts the 20 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.