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DeepSeek-V3.2 vs Qwen3.5 397B A17B

DeepSeek · released

Wins 1 of 7 areas

Facts

Alibaba · released

Wins 6 of 7 areas

Coding · Agents · Reasoning · Math · Long documents · Following instructions

Qwen3.5 397B A17B is the stronger all-rounder.DeepSeek-V3.2 is cheaper and better at facts.

Scores updated · 43 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.

Following instructions rests on a single test.

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-V3.2$0.28 to read · $0.42 to write$0.70Price from Artificial Analysis
Qwen3.5 397B A17B$0.60 to read · $3.60 to write$4.20Price from Artificial Analysis

DeepSeek-V3.2 costs 83% less for the same work.

The biggest differences

The three tests each model wins by the widest margin. Scores are out of 100.

Where Qwen3.5 397B A17B pulls ahead

  • Long, multi-file coding tasks in real codebasesSWE-bench Pro+35.3points aheadQwen3.5 397B A17B50.9DeepSeek-V3.215.6
  • Follows unfamiliar, precisely checkable instructionsIFBench+18.1points aheadQwen3.5 397B A17B78.8DeepSeek-V3.260.7
  • Finds hard-to-locate facts by browsing the webBrowseComp+17.6points aheadQwen3.5 397B A17B69DeepSeek-V3.251.4

Where DeepSeek-V3.2 pulls ahead

  • Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+6.2points aheadDeepSeek-V3.217.3Qwen3.5 397B A17B11.1
  • Customer-service tasks in a simulated bankτ-Bench V3 · Banking+5.4points aheadDeepSeek-V3.218.8Qwen3.5 397B A17B13.4
  • US invitational high-school math exam problemsAIME 2026+2.9points aheadDeepSeek-V3.294.2Qwen3.5 397B A17B91.3

Every test, side by side

All 43 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingQwen3.5 397B A17B

Full coding ranking

AgentsQwen3.5 397B A17B

Full agents ranking

ReasoningQwen3.5 397B A17B

Full reasoning ranking

FactsDeepSeek-V3.2

Full facts ranking

MathQwen3.5 397B A17B

Full math ranking

Long documentsQwen3.5 397B A17B

Full long documents ranking

Following instructionsQwen3.5 397B A17B
  • IFBenchQwen3.5 397B A17B by 18.160.778.8+18.1

Full following instructions ranking

Other results19 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.

Questions people ask

Which is better, DeepSeek-V3.2 or Qwen3.5 397B A17B?

Qwen3.5 397B A17B wins six of the seven areas where both have results: coding, agents, reasoning, math, long documents and following instructions. DeepSeek-V3.2 wins facts, and costs 83% less.

Which is better for coding?

Qwen3.5 397B A17B. It wins 6 of the 8 coding tests both models report; DeepSeek-V3.2 wins none, and 2 are ties.

Which is cheaper?

DeepSeek-V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; Qwen3.5 397B A17B costs $0.60 and $3.60. That makes DeepSeek-V3.2 about 83% cheaper for the same work.

How do you compare the two?

We use the 43 benchmark tests both models have published scores on. The verdict counts the 24 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 19 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.

Compare DeepSeek-V3.2 with

DeepSeek

Across the field

Compare Qwen3.5 397B A17B with

Alibaba

Across the field

All comparisons