Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 Speciale vs GLM 4.5
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
#4 by perf·#5 by attention
GLM 4.5
#18 by perf·no signal
Best value
DeepSeek V3.2 Speciale
2.0x better value than GLM 4.5
DeepSeek V3.2 Speciale
97.8 pts/$
$0.80/M
GLM 4.5
49.4 pts/$
$1.40/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
z-ai
private · undisclosed
Head to head
6 benchmarks · 2 models
DeepSeek V3.2 SpecialeGLM 4.5
OpenCompass · AIME2025
DeepSeek V3.2 Speciale leads by +10.2
DeepSeek V3.2 Speciale
96.0
GLM 4.5
85.8
OpenCompass · GPQA-Diamond
DeepSeek V3.2 Speciale leads by +7.2
DeepSeek V3.2 Speciale
86.7
GLM 4.5
79.5
OpenCompass · HLE
DeepSeek V3.2 Speciale leads by +11.7
DeepSeek V3.2 Speciale
28.6
GLM 4.5
16.9
OpenCompass · IFEval
DeepSeek V3.2 Speciale leads by +6.3
DeepSeek V3.2 Speciale
91.7
GLM 4.5
85.4
OpenCompass · LiveCodeBenchV6
DeepSeek V3.2 Speciale leads by +15.9
DeepSeek V3.2 Speciale
80.9
GLM 4.5
65.0
OpenCompass · MMLU-Pro
DeepSeek V3.2 Speciale leads by +2.8
DeepSeek V3.2 Speciale
85.5
GLM 4.5
82.7
Full benchmark table
| Benchmark | DeepSeek V3.2 Speciale | GLM 4.5 |
|---|---|---|
OpenCompass · AIME2025 | 96.0 | 85.8 |
OpenCompass · GPQA-Diamond | 86.7 | 79.5 |
OpenCompass · HLE | 28.6 | 16.9 |
OpenCompass · IFEval | 91.7 | 85.4 |
OpenCompass · LiveCodeBenchV6 | 80.9 | 65.0 |
OpenCompass · MMLU-Pro | 85.5 | 82.7 |
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 | |
| $0.60 | $2.20 | 131K tokens (~66 books) | $10.00 |
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