DeepSeek V4 vs V3.2 (2026)

DeepSeek V4 and V3.2 represent two generations of DeepSeek's open-weight reasoning models. V4 is newer and stronger; V3.2 remains a powerhouse at lower cost. Here's which to pick for your use case.

Specification comparison

Dimension	DeepSeek V4 Flash (₹)	DeepSeek V3.2 (₹)
Input price	₹9.07/M	₹26.21/M
Output price	₹18.14/M	₹38.30/M
Release date	2026 (latest)	2025
Reasoning capability	Frontier (o1-level)	Very strong
Code quality	Strongest	Excellent
Speed	Excellent	Good
Context	128K	128K

DeepSeek V4 Flash: the new default

V4 Flash is DeepSeek's latest offering, combining cost (₹9.07 input) with frontier reasoning. Use it for:

• Math and proofs: V4 excels at symbolic reasoning and step-by-step logic.
• Code generation: Production-grade output, especially for algorithms.
• Cost-sensitive reasoning: 3x cheaper than V3.2; comparable quality.
• Real-time inference: Flash optimizations for latency.

DeepSeek V3.2: the proven performer

V3.2 is still a tier-1 model, beloved for consistency. Choose it if:

• You already have V3.2 prompts and tuning perfected.
• You want the longer production track record — V3.2 has simply been running in the wild for longer.
• Your workload benefits from a battle-tested model.
• Stability matters more than marginal quality gains.

Cost reality: million-token workload

Workload	V4 Flash (₹)	V3.2 (₹)	Save with V4
1M input, 100k output	₹9.07 + ₹1.814 = ₹10.88	₹26.21 + ₹3.83 = ₹30.04	₹19.16 (64% cheaper)
1M input, 500k output	₹9.07 + ₹9.07 = ₹18.14	₹26.21 + ₹19.15 = ₹45.36	₹27.22 (60% cheaper)

V4 Flash is the economical choice for most workflows.

Frequently asked questions

Should I migrate from V3.2 to V4 Flash? Yes, unless you depend on 128k context. V4 is newer, cheaper, and equally capable on reasoning.

Is V4 as fast as V3.2? V4 Flash is optimized for latency and should be comparable or faster.

Can I use both in one application? Absolutely. Route exploratory queries to V4 (cheap); use V3.2 for long-context batch work.

Does V4 handle Hindi better than V3.2? Both are strong on Chinese, weaker on Indian languages. For Hindi, consider Qwen3.

Is there any capability V3.2 still leads on? Both now ship a 128K context window. V3.2's edge is maturity — more production hours logged — while V4 Flash wins on cost and raw speed.

Is V4 production-ready? Absolutely. It's been deployed at scale by DeepSeek and partners since early 2026.

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