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DeepSeek V3.2 vs o3 Mini

DeepSeek V3.2 (2025) and o3 Mini (2025) are frontier reasoning models from DeepSeek and OpenAI. DeepSeek V3.2 ships a 160K-token context window, while o3 Mini ships a not-yet-sourced context window. On Google-Proof Q&A, DeepSeek V3.2 leads by 4.3 pts. On pricing, DeepSeek V3.2 costs $0.26/1M input tokens versus $1.1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

DeepSeek V3.2 is ~325% cheaper at $0.26/1M; pay for o3 Mini only for coding workflow support.

Specs

Released2025-01-012025-03-31
Context window160K
Parameters671B
Architecturedecoder onlydecoder only
LicenseOpen SourceUnknown
Knowledge cutoff-2025-04

Pricing and availability

DeepSeek V3.2o3 Mini
Input price$0.26/1M tokens$1.1/1M tokens
Output price$0.42/1M tokens$4.4/1M tokens
Providers

Capabilities

DeepSeek V3.2o3 Mini
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkDeepSeek V3.2o3 Mini
Google-Proof Q&A84.079.7

Deep dive

On shared benchmark coverage, Google-Proof Q&A has DeepSeek V3.2 at 84 and o3 Mini at 79.7, with DeepSeek V3.2 ahead by 4.3 points. The largest visible gap is 4.3 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on reasoning mode: o3 Mini, function calling: o3 Mini, and tool use: o3 Mini. Both models share structured outputs and code execution, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, DeepSeek V3.2 lists $0.26/1M input and $0.42/1M output tokens, while o3 Mini lists $1.1/1M input and $4.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3.2 lower by about $1.78 per million blended tokens. Availability is 4 providers versus 3, so concentration risk also matters.

Choose DeepSeek V3.2 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose o3 Mini when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which is cheaper, DeepSeek V3.2 or o3 Mini?

DeepSeek V3.2 is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.26/1M input and $0.42/1M output tokens. o3 Mini costs $1.1/1M input and $4.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is DeepSeek V3.2 or o3 Mini open source?

DeepSeek V3.2 is listed under Open Source. o3 Mini is listed under Unknown. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, DeepSeek V3.2 or o3 Mini?

o3 Mini has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, DeepSeek V3.2 or o3 Mini?

o3 Mini has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, DeepSeek V3.2 or o3 Mini?

o3 Mini has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek V3.2 and o3 Mini?

DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, and OpenRouter. o3 Mini is available on OpenRouter, OpenAI Batch API, and Azure OpenAI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.