Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 Speciale vs GLM 4.7
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 Speciale wins on 4/6 benchmarks
DeepSeek V3.2 Speciale wins 4 of 6 shared benchmarks. Leads in math · knowledge · language.
Category leads
math·DeepSeek V3.2 Specialeknowledge·DeepSeek V3.2 Specialelanguage·DeepSeek V3.2 Specialecoding·GLM 4.7
Hype vs Reality
Attention vs performance
DeepSeek V3.2 Speciale
#6 by perf·no signal
GLM 4.7
#152 by perf·#3 by attention
Best value
DeepSeek V3.2 Speciale
3.0x better value than GLM 4.7
DeepSeek V3.2 Speciale
97.8 pts/$
$0.80/M
GLM 4.7
32.9 pts/$
$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 4.7
OpenCompass · AIME2025
DeepSeek V3.2 Speciale leads by +0.6
DeepSeek V3.2 Speciale
96.0
GLM 4.7
95.4
OpenCompass · GPQA-Diamond
GLM 4.7 leads by +0.2
DeepSeek V3.2 Speciale
86.7
GLM 4.7
86.9
OpenCompass · HLE
DeepSeek V3.2 Speciale leads by +3.2
DeepSeek V3.2 Speciale
28.6
GLM 4.7
25.4
OpenCompass · IFEval
DeepSeek V3.2 Speciale leads by +1.5
DeepSeek V3.2 Speciale
91.7
GLM 4.7
90.2
OpenCompass · LiveCodeBenchV6
GLM 4.7 leads by +2.9
DeepSeek V3.2 Speciale
80.9
GLM 4.7
83.8
OpenCompass · MMLU-Pro
DeepSeek V3.2 Speciale leads by +1.5
DeepSeek V3.2 Speciale
85.5
GLM 4.7
84.0
Full benchmark table
| Benchmark | DeepSeek V3.2 Speciale | GLM 4.7 |
|---|---|---|
OpenCompass · AIME2025 | 96.0 | 95.4 |
OpenCompass · GPQA-Diamond | 86.7 | 86.9 |
OpenCompass · HLE | 28.6 | 25.4 |
OpenCompass · IFEval | 91.7 | 90.2 |
OpenCompass · LiveCodeBenchV6 | 80.9 | 83.8 |
OpenCompass · MMLU-Pro | 85.5 | 84.0 |
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 | 205K tokens (~102 books) | $10.00 |
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