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o3 Deep Research vs Qwen2.5-72B

o3 Deep Research (2026) and Qwen2.5-72B (2025) are frontier reasoning models from OpenAI and Alibaba. o3 Deep Research ships a 200K-token context window, while Qwen2.5-72B ships a 128k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

o3 Deep Research is safer overall; choose Qwen2.5-72B when provider fit matters.

Specs

Specification
Released2026-01-012025-10-10
Context window200K128k
Parameters72B
Architecturedecoder only-
LicenseProprietaryOpen Source
Knowledge cutoff-2024-09

Pricing and availability

Pricing attributeo3 Deep ResearchQwen2.5-72B
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

Capabilityo3 Deep ResearchQwen2.5-72B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: o3 Deep Research, multimodal input: o3 Deep Research, reasoning mode: o3 Deep Research, and structured outputs: o3 Deep Research. Both models share function calling and tool use, 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.

Pricing coverage is uneven: o3 Deep Research has no token price sourced yet and Qwen2.5-72B has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose o3 Deep Research when reasoning depth and larger context windows are central to the workload. Choose Qwen2.5-72B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, o3 Deep Research or Qwen2.5-72B?

o3 Deep Research supports 200K tokens, while Qwen2.5-72B supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is o3 Deep Research or Qwen2.5-72B open source?

o3 Deep Research is listed under Proprietary. Qwen2.5-72B is listed under Open Source. 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, o3 Deep Research or Qwen2.5-72B?

o3 Deep Research 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, o3 Deep Research or Qwen2.5-72B?

o3 Deep Research 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.

Which is better for reasoning mode, o3 Deep Research or Qwen2.5-72B?

o3 Deep Research 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.

When should I pick o3 Deep Research over Qwen2.5-72B?

o3 Deep Research is safer overall; choose Qwen2.5-72B when provider fit matters. If your workload also depends on reasoning depth, start with o3 Deep Research; if it depends on provider fit, run the same evaluation with Qwen2.5-72B.

Continue comparing

Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.