Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 Speciale vs Step 3.5 Flash
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 Speciale wins on 5/9 benchmarks
DeepSeek V3.2 Speciale wins 5 of 9 shared benchmarks. Leads in math · knowledge.
Category leads
speed·Step 3.5 Flashmath·DeepSeek V3.2 Specialeknowledge·DeepSeek V3.2 Specialelanguage·Step 3.5 Flashcoding·Step 3.5 Flash
Hype vs Reality
Attention vs performance
DeepSeek V3.2 Speciale
#4 by perf·#5 by attention
Step 3.5 Flash
#7 by perf·#11 by attention
Best value
Step 3.5 Flash
3.9x better value than DeepSeek V3.2 Speciale
DeepSeek V3.2 Speciale
97.8 pts/$
$0.80/M
Step 3.5 Flash
384.5 pts/$
$0.20/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
StepFun
$5.0B·Tier 1
Head to head
9 benchmarks · 2 models
DeepSeek V3.2 SpecialeStep 3.5 Flash
Artificial Analysis · Agentic Index
Step 3.5 Flash leads by +52.0
DeepSeek V3.2 Speciale
0.0
Step 3.5 Flash
52.0
Artificial Analysis · Coding Index
DeepSeek V3.2 Speciale leads by +6.3
DeepSeek V3.2 Speciale
37.9
Step 3.5 Flash
31.6
Artificial Analysis · Quality Index
Step 3.5 Flash leads by +8.4
DeepSeek V3.2 Speciale
29.4
Step 3.5 Flash
37.8
OpenCompass · AIME2025
DeepSeek V3.2 Speciale leads by +0.3
DeepSeek V3.2 Speciale
96.0
Step 3.5 Flash
95.7
OpenCompass · GPQA-Diamond
DeepSeek V3.2 Speciale leads by +3.0
DeepSeek V3.2 Speciale
86.7
Step 3.5 Flash
83.7
OpenCompass · HLE
DeepSeek V3.2 Speciale leads by +7.0
DeepSeek V3.2 Speciale
28.6
Step 3.5 Flash
21.6
OpenCompass · IFEval
Step 3.5 Flash leads by +1.5
DeepSeek V3.2 Speciale
91.7
Step 3.5 Flash
93.2
OpenCompass · LiveCodeBenchV6
Step 3.5 Flash leads by +3.0
DeepSeek V3.2 Speciale
80.9
Step 3.5 Flash
83.9
OpenCompass · MMLU-Pro
DeepSeek V3.2 Speciale leads by +2.0
DeepSeek V3.2 Speciale
85.5
Step 3.5 Flash
83.5
Full benchmark table
| Benchmark | DeepSeek V3.2 Speciale | Step 3.5 Flash |
|---|---|---|
Artificial Analysis · Agentic Index | 0.0 | 52.0 |
Artificial Analysis · Coding Index | 37.9 | 31.6 |
Artificial Analysis · Quality Index | 29.4 | 37.8 |
OpenCompass · AIME2025 | 96.0 | 95.7 |
OpenCompass · GPQA-Diamond | 86.7 | 83.7 |
OpenCompass · HLE | 28.6 | 21.6 |
OpenCompass · IFEval | 91.7 | 93.2 |
OpenCompass · LiveCodeBenchV6 | 80.9 | 83.9 |
OpenCompass · MMLU-Pro | 85.5 | 83.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| DeepSeek V3.2 Speciale | $0.40 | $1.20 | 164K tokens (~82 books) | $6.00 |
| Step 3.5 Flash | $0.10 | $0.30 | 262K tokens (~131 books) | $1.50 |
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