Gemini 2.5 Pro vs Qwen2.5-72B-Instruct
Gemini 2.5 Pro (2025) and Qwen2.5-72B-Instruct (2024) are frontier reasoning 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 48.0 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and Qwen2.5-72B-Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | Qwen2.5-72B-Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 1m | 128k |
| Cheapest output | $10/1M tokens | $0.54/1M tokens |
| Provider routes | 4 tracked | 7 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 3 shared |
Decision tradeoffs
- Gemini 2.5 Pro holds a shared-benchmark lead on Google-Proof Q&A, ahead by 48.0 points.
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Qwen2.5-72B-Instruct has the lower cheapest tracked output price at $0.54/1M tokens.
- Qwen2.5-72B-Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Qwen2.5-72B-Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
Qwen2.5-72B-Instruct
$279
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $3,221. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen2.5-72B-Instruct is $9.46/1M 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.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemini 2.5 Pro is $9.46/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2024-06-07 |
| Context window | 1m | 128k |
| Parameters | — | 72.7B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | Qwen2.5-72B-Instruct |
|---|---|---|
| Input price |
| $0.18/1M tokens |
| Output price |
| $0.54/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | Qwen2.5-72B-Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Pro | Qwen2.5-72B-Instruct |
|---|---|---|
| Google-Proof Q&A | 86.4 | 38.4 |
| HumanEval | 93.1 | 86.6 |
| Chatbot Arena | 1398.0 | 1270.0 |
Continue comparing
Popular comparisons for Gemini 2.5 Pro
Popular comparisons for Qwen2.5-72B-Instruct
Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.