DeepSeek V3.2 vs Gemini 2.5 Pro Computer Use Preview
DeepSeek V3.2 (2025) and Gemini 2.5 Pro Computer Use Preview (2025) are general-purpose language models from DeepSeek and Google DeepMind. DeepSeek V3.2 ships a 160K-token context window, while Gemini 2.5 Pro Computer Use Preview ships a 1.048576M-token context window. On pricing, DeepSeek V3.2 costs $0.26/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
DeepSeek V3.2 is ~383% cheaper at $0.26/1M; pay for Gemini 2.5 Pro Computer Use Preview only for long-context analysis.
Specs
| Released | 2025-01-01 | 2025-10-01 |
| Context window | 160K | 1.048576M |
| Parameters | 671B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek V3.2 | Gemini 2.5 Pro Computer Use Preview | |
|---|---|---|
| Input price | $0.26/1M tokens | $1.25/1M tokens |
| Output price | $0.42/1M tokens | $10/1M tokens |
| Providers |
Capabilities
| DeepSeek V3.2 | Gemini 2.5 Pro Computer Use Preview | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 2.5 Pro Computer Use Preview, multimodal input: Gemini 2.5 Pro Computer Use Preview, function calling: Gemini 2.5 Pro Computer Use Preview, tool use: Gemini 2.5 Pro Computer Use Preview, and code execution: DeepSeek V3.2. Both models share structured outputs, 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 Gemini 2.5 Pro Computer Use Preview lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3.2 lower by about $3.57 per million blended tokens. Availability is 4 providers versus 1, 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 Gemini 2.5 Pro Computer Use Preview when long-context analysis 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 Gemini 2.5 Pro Computer Use Preview?
Gemini 2.5 Pro Computer Use Preview supports 1.048576M 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.
Which is cheaper, DeepSeek V3.2 or Gemini 2.5 Pro Computer Use Preview?
DeepSeek V3.2 is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.26/1M input and $0.42/1M output tokens. Gemini 2.5 Pro Computer Use Preview costs $1.25/1M input and $10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.2 or Gemini 2.5 Pro Computer Use Preview open source?
DeepSeek V3.2 is listed under Open Source. Gemini 2.5 Pro Computer Use Preview 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 Gemini 2.5 Pro Computer Use Preview?
Gemini 2.5 Pro Computer Use Preview 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.
Which is better for multimodal input, DeepSeek V3.2 or Gemini 2.5 Pro Computer Use Preview?
Gemini 2.5 Pro Computer Use Preview 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 Gemini 2.5 Pro Computer Use Preview?
DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, and OpenRouter. Gemini 2.5 Pro Computer Use Preview is available on Google AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.