Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 Speciale vs Qwen3 30B A3B Thinking 2507
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 Speciale wins on 6/6 benchmarks
DeepSeek V3.2 Speciale wins 6 of 6 shared benchmarks. Leads in math · knowledge · language.
Category leads
math·DeepSeek V3.2 Specialeknowledge·DeepSeek V3.2 Specialelanguage·DeepSeek V3.2 Specialecoding·DeepSeek V3.2 Speciale
Hype vs Reality
Attention vs performance
DeepSeek V3.2 Speciale
#6 by perf·no signal
Qwen3 30B A3B Thinking 2507
#32 by perf·#2 by attention
Best value
DeepSeek V3.2 Speciale
1.9x better value than Qwen3 30B A3B Thinking 2507
DeepSeek V3.2 Speciale
97.8 pts/$
$0.80/M
Qwen3 30B A3B Thinking 2507
50.9 pts/$
$1.30/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
6 benchmarks · 2 models
DeepSeek V3.2 SpecialeQwen3 30B A3B Thinking 2507
OpenCompass · AIME2025
DeepSeek V3.2 Speciale leads by +9.2
DeepSeek V3.2 Speciale
96.0
Qwen3 30B A3B Thinking 2507
86.8
OpenCompass · GPQA-Diamond
DeepSeek V3.2 Speciale leads by +16.6
DeepSeek V3.2 Speciale
86.7
Qwen3 30B A3B Thinking 2507
70.1
OpenCompass · HLE
DeepSeek V3.2 Speciale leads by +16.9
DeepSeek V3.2 Speciale
28.6
Qwen3 30B A3B Thinking 2507
11.7
OpenCompass · IFEval
DeepSeek V3.2 Speciale leads by +2.0
DeepSeek V3.2 Speciale
91.7
Qwen3 30B A3B Thinking 2507
89.7
OpenCompass · LiveCodeBenchV6
DeepSeek V3.2 Speciale leads by +21.5
DeepSeek V3.2 Speciale
80.9
Qwen3 30B A3B Thinking 2507
59.4
OpenCompass · MMLU-Pro
DeepSeek V3.2 Speciale leads by +6.0
DeepSeek V3.2 Speciale
85.5
Qwen3 30B A3B Thinking 2507
79.5
Full benchmark table
| Benchmark | DeepSeek V3.2 Speciale | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
OpenCompass · AIME2025 | 96.0 | 86.8 |
OpenCompass · GPQA-Diamond | 86.7 | 70.1 |
OpenCompass · HLE | 28.6 | 11.7 |
OpenCompass · IFEval | 91.7 | 89.7 |
OpenCompass · LiveCodeBenchV6 | 80.9 | 59.4 |
OpenCompass · MMLU-Pro | 85.5 | 79.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.40 | $1.20 | 164K tokens (~82 books) | $6.00 | |
| $0.20 | $2.40 | 82K tokens (~41 books) | $7.50 |
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