Compare · ModelsLive · 2 picked · head to head
GLM 4.7 vs DeepSeek V3.2 Speciale
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
GLM 4.7
#91 by perf·no signal
DeepSeek V3.2 Speciale
#4 by perf·#5 by attention
Best value
DeepSeek V3.2 Speciale
2.1x better value than GLM 4.7
GLM 4.7
47.2 pts/$
$1.07/M
DeepSeek V3.2 Speciale
97.8 pts/$
$0.80/M
Vendor risk
Mixed exposure
One or more vendors flagged
z-ai
private · undisclosed
DeepSeek
$3.4B·Tier 1
Head to head
6 benchmarks · 2 models
GLM 4.7DeepSeek V3.2 Speciale
OpenCompass · AIME2025
DeepSeek V3.2 Speciale leads by +0.6
GLM 4.7
95.4
DeepSeek V3.2 Speciale
96.0
OpenCompass · GPQA-Diamond
GLM 4.7 leads by +0.2
GLM 4.7
86.9
DeepSeek V3.2 Speciale
86.7
OpenCompass · HLE
DeepSeek V3.2 Speciale leads by +3.2
GLM 4.7
25.4
DeepSeek V3.2 Speciale
28.6
OpenCompass · IFEval
DeepSeek V3.2 Speciale leads by +1.5
GLM 4.7
90.2
DeepSeek V3.2 Speciale
91.7
OpenCompass · LiveCodeBenchV6
GLM 4.7 leads by +2.9
GLM 4.7
83.8
DeepSeek V3.2 Speciale
80.9
OpenCompass · MMLU-Pro
DeepSeek V3.2 Speciale leads by +1.5
GLM 4.7
84.0
DeepSeek V3.2 Speciale
85.5
Full benchmark table
| Benchmark | GLM 4.7 | DeepSeek V3.2 Speciale |
|---|---|---|
OpenCompass · AIME2025 | 95.4 | 96.0 |
OpenCompass · GPQA-Diamond | 86.9 | 86.7 |
OpenCompass · HLE | 25.4 | 28.6 |
OpenCompass · IFEval | 90.2 | 91.7 |
OpenCompass · LiveCodeBenchV6 | 83.8 | 80.9 |
OpenCompass · MMLU-Pro | 84.0 | 85.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| GLM 4.7 | $0.39 | $1.75 | 203K tokens (~101 books) | $7.30 |
| DeepSeek V3.2 Speciale | $0.40 | $1.20 | 164K tokens (~82 books) | $6.00 |
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