Gemini 2.5 Pro vs Qwen2.5-72B-Instruct
Gemini 2.5 Pro (2025) and Qwen2.5-72B-Instruct (2024) are compact production models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1M-token context window, while Qwen2.5-72B-Instruct ships a 128K-token context window. On Google-Proof Q&A, Gemini 2.5 Pro leads by 21 pts. On pricing, Qwen2.5-72B-Instruct costs $0.12/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Qwen2.5-72B-Instruct is ~942% cheaper at $0.12/1M; pay for Gemini 2.5 Pro only for coding workflow support.
Specs
| Released | 2025-06-17 | 2024-06-07 |
| Context window | 1M | 128K |
| Parameters | — | 72.7B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Gemini 2.5 Pro | Qwen2.5-72B-Instruct | |
|---|---|---|
| Input price | $1.25/1M tokens | $0.12/1M tokens |
| Output price | $10/1M tokens | $0.39/1M tokens |
| Providers |
Capabilities
| Gemini 2.5 Pro | Qwen2.5-72B-Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Gemini 2.5 Pro | Qwen2.5-72B-Instruct |
|---|---|---|
| Google-Proof Q&A | 86.4 | 65.4 |
| HumanEval | 93.1 | 92.7 |
| Chatbot Arena | 1398.0 | 1270.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Gemini 2.5 Pro at 86.4 and Qwen2.5-72B-Instruct at 65.4, with Gemini 2.5 Pro ahead by 21 points; HumanEval has Gemini 2.5 Pro at 93.1 and Qwen2.5-72B-Instruct at 92.7, with Gemini 2.5 Pro ahead by 0.4 points; Chatbot Arena has Gemini 2.5 Pro at 1398 and Qwen2.5-72B-Instruct at 1270, with Gemini 2.5 Pro ahead by 128 points. The largest visible gap is 128 points on Chatbot Arena, 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 vision: Gemini 2.5 Pro, multimodal input: Gemini 2.5 Pro, function calling: Gemini 2.5 Pro, tool use: Gemini 2.5 Pro, and code execution: Gemini 2.5 Pro. 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, Gemini 2.5 Pro lists $1.25/1M input and $10/1M output tokens, while Qwen2.5-72B-Instruct lists $0.12/1M input and $0.39/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen2.5-72B-Instruct lower by about $3.67 per million blended tokens. Availability is 3 providers versus 7, so concentration risk also matters.
Choose Gemini 2.5 Pro when coding workflow support and larger context windows are central to the workload. Choose Qwen2.5-72B-Instruct when provider fit, lower input-token cost, and broader provider choice 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, Gemini 2.5 Pro or Qwen2.5-72B-Instruct?
Gemini 2.5 Pro supports 1M tokens, while Qwen2.5-72B-Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 2.5 Pro or Qwen2.5-72B-Instruct?
Qwen2.5-72B-Instruct is cheaper on tracked token pricing. Gemini 2.5 Pro costs $1.25/1M input and $10/1M output tokens. Qwen2.5-72B-Instruct costs $0.12/1M input and $0.39/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro or Qwen2.5-72B-Instruct open source?
Gemini 2.5 Pro is listed under Proprietary. Qwen2.5-72B-Instruct is listed under Apache 2.0. 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, Gemini 2.5 Pro or Qwen2.5-72B-Instruct?
Gemini 2.5 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.
Which is better for multimodal input, Gemini 2.5 Pro or Qwen2.5-72B-Instruct?
Gemini 2.5 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 Gemini 2.5 Pro and Qwen2.5-72B-Instruct?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Qwen2.5-72B-Instruct is available on DeepInfra, OpenRouter, Fireworks AI, Novita AI, and Chutes AI. 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.