DeepSeek V3.2 vs Qwen3.5-4B
Change modelsDeepSeek V3.2DeepSeek
Qwen3.5-4BAlibaba
IndexAll categories, out of 100.
44.2 ±4.9
44.3 ±7.4 best
GapIndex points below the top.
−0.1 · no clear gap
Top
CoverageIndex weight that has results.
85% best
80%
SpeedOutput tokens per second.
19/s
20/s best
EloLMArena rating and rank.
1425
—
ReleasedMonth of release.
2025-12
—
Input / 1MUS dollars per 1M input tokens.
$0.26
—
Output / 1MUS dollars per 1M output tokens.
$0.38
—
1K chats2K tokens in, 500 out, each.
$0.71
—
1K documents20K tokens in, 1K out, each.
$5.58
—
1K agent tasks200K tokens in, 20K out, each.
$59.60
—
ContextMaximum tokens in one request.
164K
262K best
AgenticMulti-step tasks with tools.
43.1
63.9 best
CodingCode writing and repair.
48.8
—
ReasoningLogic problems and puzzles.
42.9
43.7 best
MultimodalTasks with images and text.
—
40.3
KnowledgeFacts and expert knowledge.
43.2 best
41.1
MultilingualTasks in many languages.
—
35.5
InstructionTasks with strict prompt rules.
34.8
37.6 best
MathMath problems.
46.8 best
41.4
Benchmarks
7 sharedOnly DeepSeek V3.2: 31Only Qwen3.5-4B: 9
DeepSeek V3.2
Qwen3.5-4B