GPT-5.5 vs Qwen2.5-72B
GPT-5.5 (2026) and Qwen2.5-72B (2025) are frontier reasoning models from OpenAI and Alibaba. GPT-5.5 ships a 1.05m-token context window, while Qwen2.5-72B ships a 128k-token context window. On MMLU PRO, GPT-5.5 leads by 16.1 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GPT-5.5 fits 8x more tokens; pick it for long-context work and Qwen2.5-72B for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-5.5 | Qwen2.5-72B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 1.05m | 128k |
| Cheapest output | $30/1M tokens | - |
| Provider routes | 4 tracked | 0 tracked |
| Shared benchmarks | MMLU PRO leader | 1 shared |
Decision tradeoffs
- GPT-5.5 holds a shared-benchmark lead on MMLU PRO, ahead by 16.1 points.
- GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.5 has broader tracked provider coverage for fallback and route flexibility.
- GPT-5.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
- Local decision data tags Qwen2.5-72B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.5
$11,500
Cheapest tracked route/tier: OpenAI API 0-272K input tokens
Qwen2.5-72B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5.5 and Qwen2.5-72B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen2.5-72B and GPT-5.5; plan for SDK, billing, or endpoint changes.
- GPT-5.5 adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-23 | 2025-10-10 |
| Context window | 1.05m | 128k |
| Parameters | — | 72B |
| Architecture | 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 | 2025-12 | 2024-09 |
Pricing and availability
| Pricing attribute | GPT-5.5 | Qwen2.5-72B |
|---|---|---|
| Input price |
| - |
| Output price |
| - |
| Providers | - |
Capabilities
| Capability | GPT-5.5 | Qwen2.5-72B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-5.5 | Qwen2.5-72B |
|---|---|---|
| MMLU PRO | 88.1 | 72.0 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.