DeepSeek: DeepSeek V3.2 Exp
Analysis Summary
DeepSeek V3.2 Exp is an experimental release from DeepSeek, offering tool use and function calling at very competitive pricing of $0.27 input / $0.41 output per 1M tokens. Its intelligence index of 21.3 and LiveCodeBench score of 0.554 place it in the mid-lower tier for reasoning and coding, while its agentic index of 29.5 limits its reliability for complex multi-step pipelines.
For businesses, it is best suited to cost-sensitive, moderate-complexity tasks such as structured data extraction, lightweight tool-calling workflows, or bulk content processing where price efficiency is the primary driver. Instruction following (ifbench 0.43) and long-context reasoning (lcr 0.43) are adequate but not strong. The 163K context window covers most standard document tasks.
At this price point, it offers reasonable value for high-volume, lower-stakes automation. Teams should benchmark it against their specific use cases before relying on it for accuracy-critical workflows.
Assessed July 10, 2026
Editorial notes
DeepSeek V3.2 Exp offers tool use, function calling, and very low pricing at $0.27/$0.41 per 1M tokens, with moderate reasoning and coding performance for cost-sensitive workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3.2 Exp offers tool use, function calling, and very low pricing at $0.27/$0.41 per 1M tokens, with moderate reasoning and coding performance for cost-sensitive workflows.
How DeepSeek: DeepSeek V3.2 Exp compares
DeepSeek: DeepSeek V3.2 Exp ranks #139 of 394 AI models we track for overall intelligence, #135 of 301 for agentic tasks. Its 164K-token context window is larger than 58% of the models we list. At $0.27 per million input tokens it is cheaper than 46% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $0.41 | $0.000410 |
What would DeepSeek: DeepSeek V3.2 Exp cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 617 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3.2 Exp for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..
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Frequently asked questions about DeepSeek: DeepSeek V3.2 Exp
How much does DeepSeek: DeepSeek V3.2 Exp cost?
DeepSeek: DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp has a context window of 163,840 tokens (164K).
What can DeepSeek: DeepSeek V3.2 Exp do?
DeepSeek: DeepSeek V3.2 Exp supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp is developed by DeepSeek and was released on September 29, 2025.
