DeepSeek V3.2 vs o3-pro
DeepSeek V3.2 (2025) and o3-pro (2025) are frontier reasoning models from DeepSeek and OpenAI. DeepSeek V3.2 ships a 160k-token context window, while o3-pro ships a 200k-token context window. On Google-Proof Q&A, DeepSeek V3.2 and o3-pro are tied at 84. On pricing, DeepSeek V3.2 costs $0.25/1M input tokens versus $20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V3.2 is ~7837% cheaper at $0.25/1M; pay for o3-pro only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.2 | o3-pro |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 160k | 200k |
| Cheapest output | $0.38/1M tokens | $80/1M tokens |
| Provider routes | 7 tracked | 3 tracked |
| Shared benchmarks | 1 shared | 1 shared |
Decision tradeoffs
- DeepSeek V3.2 has the lower cheapest tracked output price at $0.38/1M tokens.
- DeepSeek V3.2 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek V3.2 for Coding, RAG, and Agents.
- o3-pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- o3-pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags o3-pro for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3.2
$296
Cheapest tracked route/tier: OpenRouter
o3-pro
$36,000
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $35,704. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- o3-pro is $79.62/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- o3-pro adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V3.2 is $79.62/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-06-10 |
| Context window | 160k | 200k |
| Parameters | 671B | — |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | 2025-08 |
Pricing and availability
| Pricing attribute | DeepSeek V3.2 | o3-pro |
|---|---|---|
| Input price | $0.25/1M tokens | $20/1M tokens |
| Output price | $0.38/1M tokens | $80/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.2 | o3-pro |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3.2 | o3-pro |
|---|---|---|
| Google-Proof Q&A | 84.0 | 84.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek V3.2 and o3-pro tied at 84. The visible top rows are tied, so treat the table as parity evidence until a benchmark that mirrors your workload separates the models. Provider routing, prompt style, and tool access can still move real application results.
The capability footprint differs most on vision: o3-pro, multimodal input: o3-pro, reasoning mode: o3-pro, function calling: o3-pro, and tool use: o3-pro. 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 $0.25/1M input and $0.38/1M output tokens on the cheapest tracked provider, while o3-pro lists $20/1M input and $80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3.2 lower by about $37.71 per million blended tokens. Availability is 7 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-pro when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, DeepSeek V3.2 or o3-pro?
o3-pro supports 200k tokens, while DeepSeek V3.2 supports 160k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, DeepSeek V3.2 or o3-pro?
DeepSeek V3.2 is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.25/1M input and $0.38/1M output tokens. o3-pro costs $20/1M input and $80/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.2 or o3-pro open source?
DeepSeek V3.2 is listed under MIT. o3-pro is listed under Proprietary. 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 vision, DeepSeek V3.2 or o3-pro?
o3-pro has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek V3.2 or o3-pro?
o3-pro has the clearer documented multimodal input signal in this comparison. If multimodal input 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-pro?
DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, OpenRouter, and Microsoft Foundry. o3-pro is available on OpenRouter, OpenAI API, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.