Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 Exp vs Qwen3 235B A22B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 Exp wins on 4/4 benchmarks
DeepSeek V3.2 Exp wins 4 of 4 shared benchmarks. Leads in coding · arena · knowledge.
Category leads
coding·DeepSeek V3.2 Exparena·DeepSeek V3.2 Expknowledge·DeepSeek V3.2 Exp
Hype vs Reality
Attention vs performance
DeepSeek V3.2 Exp
#80 by perf·no signal
Qwen3 235B A22B
#60 by perf·no signal
Best value
DeepSeek V3.2 Exp
3.2x better value than Qwen3 235B A22B
DeepSeek V3.2 Exp
156.5 pts/$
$0.34/M
Qwen3 235B A22B
49.6 pts/$
$1.14/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
4 benchmarks · 2 models
DeepSeek V3.2 ExpQwen3 235B A22B
Aider polyglot
DeepSeek V3.2 Exp leads by +14.6
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
DeepSeek V3.2 Exp
74.2
Qwen3 235B A22B
59.6
Chatbot Arena Elo · Overall
DeepSeek V3.2 Exp leads by +48.4
DeepSeek V3.2 Exp
1422.8
Qwen3 235B A22B
1374.4
Fiction.LiveBench
DeepSeek V3.2 Exp leads by +15.6
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
DeepSeek V3.2 Exp
83.3
Qwen3 235B A22B
67.7
WeirdML
DeepSeek V3.2 Exp leads by +2.2
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
DeepSeek V3.2 Exp
39.5
Qwen3 235B A22B
37.3
Full benchmark table
| Benchmark | DeepSeek V3.2 Exp | Qwen3 235B A22B |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 74.2 | 59.6 |
Chatbot Arena Elo · Overall | 1422.8 | 1374.4 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 83.3 | 67.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 39.5 | 37.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.27 | $0.41 | 164K tokens (~82 books) | $3.05 | |
| $0.46 | $1.82 | 131K tokens (~66 books) | $7.96 |
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