DeepSeek V3.2 vs GLM 4.7: API Price & Benchmark Comparison (INR)
Side-by-side pricing
| DeepSeek V3.2 | GLM 4.7 | |
|---|---|---|
| Input price / 1M tokens | ₹27.75 | ₹41.27 |
| Output price / 1M tokens | ₹41.27 | ₹180.54 |
| Context window | 163,840 | 204,800 |
| Provider | DeepSeek | Zhipu |
Velona effective INR prices, refreshed every 6 hours (last: 2026-07-28T17:32:59Z).
When to pick which
V3.2 is about half the input price ($0.21 vs $0.40 per million) and over 5x cheaper on output ($0.32 vs $1.75). GLM 4.7 counters with a 202K context window versus 131K and particularly strong showings on agentic coding benchmarks, where it competes with models well above its price class. Both are open-weight Chinese models with excellent value. Choose V3.2 when output volume drives your bill, for generation-heavy chat, summarisation, drafting. Choose GLM 4.7 for coding agents and longer-context work, where its extra headroom and agent tuning outweigh the modest price difference.
Benchmarks
DeepSeek V3.2
Benchmarks
Independent scores from Artificial Analysis.
GLM 4.7
Benchmarks
Independent scores from Artificial Analysis.
Cost calculator for both models
Frequently asked questions
Which is cheaper: DeepSeek V3.2 or GLM 4.7?
On input tokens, DeepSeek V3.2 costs ₹27.75/1M and GLM 4.7 costs ₹41.27/1M through Velona. Output tokens: ₹41.27 vs ₹180.54 per 1M.
Can I switch between DeepSeek V3.2 and GLM 4.7 without changing code?
Yes. Both are behind Velona's single gateway API. Change the model id in your request body and everything else stays the same, including your INR wallet.
Are these prices current?
Prices are regenerated every 6 hours from live provider pricing and the current USD→INR rate, so the figures on this page track what you'd actually be billed.
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