Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 vs Qwen3 30B A3B Instruct 2507
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 wins on 7/7 benchmarks
DeepSeek V3.2 wins 7 of 7 shared benchmarks. Leads in arena · math · knowledge.
Category leads
arena·DeepSeek V3.2math·DeepSeek V3.2knowledge·DeepSeek V3.2language·DeepSeek V3.2coding·DeepSeek V3.2
Hype vs Reality
Attention vs performance
DeepSeek V3.2
#108 by perf·no signal
Qwen3 30B A3B Instruct 2507
#84 by perf·no signal
Best value
Qwen3 30B A3B Instruct 2507
2.4x better value than DeepSeek V3.2
DeepSeek V3.2
191.0 pts/$
$0.27/M
Qwen3 30B A3B Instruct 2507
458.5 pts/$
$0.12/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
7 benchmarks · 2 models
DeepSeek V3.2Qwen3 30B A3B Instruct 2507
Chatbot Arena Elo · Overall
DeepSeek V3.2 leads by +41.7
DeepSeek V3.2
1425.0
Qwen3 30B A3B Instruct 2507
1383.3
OpenCompass · AIME2025
DeepSeek V3.2 leads by +29.2
DeepSeek V3.2
93.0
Qwen3 30B A3B Instruct 2507
63.8
OpenCompass · GPQA-Diamond
DeepSeek V3.2 leads by +21.0
DeepSeek V3.2
84.6
Qwen3 30B A3B Instruct 2507
63.6
OpenCompass · HLE
DeepSeek V3.2 leads by +15.5
DeepSeek V3.2
23.2
Qwen3 30B A3B Instruct 2507
7.7
OpenCompass · IFEval
DeepSeek V3.2 leads by +5.8
DeepSeek V3.2
89.7
Qwen3 30B A3B Instruct 2507
83.9
OpenCompass · LiveCodeBenchV6
DeepSeek V3.2 leads by +36.7
DeepSeek V3.2
75.4
Qwen3 30B A3B Instruct 2507
38.7
OpenCompass · MMLU-Pro
DeepSeek V3.2 leads by +11.9
DeepSeek V3.2
85.8
Qwen3 30B A3B Instruct 2507
73.9
Full benchmark table
| Benchmark | DeepSeek V3.2 | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
Chatbot Arena Elo · Overall | 1425.0 | 1383.3 |
OpenCompass · AIME2025 | 93.0 | 63.8 |
OpenCompass · GPQA-Diamond | 84.6 | 63.6 |
OpenCompass · HLE | 23.2 | 7.7 |
OpenCompass · IFEval | 89.7 | 83.9 |
OpenCompass · LiveCodeBenchV6 | 75.4 | 38.7 |
OpenCompass · MMLU-Pro | 85.8 | 73.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.21 | $0.32 | 131K tokens (~66 books) | $2.41 | |
| $0.05 | $0.19 | 131K tokens (~66 books) | $0.84 |