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Gemini 2.5 Pro Preview 05-06 vs Qwen2.5-72B

Gemini 2.5 Pro Preview 05-06 (2025) and Qwen2.5-72B (2025) are compact production models from Google DeepMind and Alibaba. Gemini 2.5 Pro Preview 05-06 ships a 1M-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.

Gemini 2.5 Pro Preview 05-06 fits 8x more tokens; pick it for long-context work and Qwen2.5-72B for tighter calls.

Specs

Released2025-05-062025-10-10
Context window1M128k
Parameters72B
Architecturedecoder only-
LicenseUnknownOpen Source
Knowledge cutoff-2024-09

Pricing and availability

Gemini 2.5 Pro Preview 05-06Qwen2.5-72B
Input price$1.25/1M tokens-
Output price$10/1M tokens-
Providers-

Capabilities

Gemini 2.5 Pro Preview 05-06Qwen2.5-72B
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 function calling: Qwen2.5-72B, tool use: Qwen2.5-72B, and structured outputs: Gemini 2.5 Pro Preview 05-06. Both models share the core language-model surface, 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: Gemini 2.5 Pro Preview 05-06 has $1.25/1M input tokens and Qwen2.5-72B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemini 2.5 Pro Preview 05-06 when long-context analysis, larger context windows, and broader provider choice 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, Gemini 2.5 Pro Preview 05-06 or Qwen2.5-72B?

Gemini 2.5 Pro Preview 05-06 supports 1M 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 Gemini 2.5 Pro Preview 05-06 or Qwen2.5-72B open source?

Gemini 2.5 Pro Preview 05-06 is listed under Unknown. 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 function calling, Gemini 2.5 Pro Preview 05-06 or Qwen2.5-72B?

Qwen2.5-72B 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, Gemini 2.5 Pro Preview 05-06 or Qwen2.5-72B?

Qwen2.5-72B 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.

Which is better for structured outputs, Gemini 2.5 Pro Preview 05-06 or Qwen2.5-72B?

Gemini 2.5 Pro Preview 05-06 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemini 2.5 Pro Preview 05-06 and Qwen2.5-72B?

Gemini 2.5 Pro Preview 05-06 is available on OpenRouter. Qwen2.5-72B is available on the tracked providers still being sourced. 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.