GPT-5.5 vs Qwen3.7-Max
GPT-5.5 and Qwen3.7-Max are frontier closed-weight agentic models with 1m-token context windows. GPT-5.5 brings stronger terminal-agent results and vision input; Qwen3.7-Max brings lower tracked token prices and a small SWE-bench Pro edge for repository-scale coding.
Pick GPT-5.5 for terminal-heavy agents, tool orchestration, and multimodal workflows: it leads Terminal-Bench 2.0 at 82.7% versus 69.7% and supports image input. Pick Qwen3.7-Max when repository-scale coding and token cost matter more: it leads SWE-bench Pro at 60.6% versus 58.6%, and OpenRouter currently lists a 50% promotional rate of $1.25/M input and $3.75/M output. Treat Qwen3.7-Max pricing as freshness-sensitive because Alibaba's official pricing page did not list the 3.7 series at integration time.
Decision scorecard
Local evidence first| Signal | GPT-5.5 | Qwen3.7-Max |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, tool-calling agents, and long-context analysis |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1.05m | 1m |
| Cheapest output | $30/1M tokens | $3.75/1M tokens |
| Provider routes | 4 tracked | 4 tracked |
| Shared benchmarks | 9 shared | MMLU PRO leader |
Decision tradeoffs
- GPT-5.5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 2.2 points.
- GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.5 uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
- Qwen3.7-Max holds a shared-benchmark lead on MMLU PRO, ahead by 1.5 points.
- Qwen3.7-Max has the lower cheapest tracked output price at $3.75/1M tokens.
- Local decision data tags Qwen3.7-Max for Coding, RAG, and Agents.
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
Qwen3.7-Max
$1,938
Cheapest tracked route/tier: Novita AI
Estimated monthly gap: $9,563. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway and OpenRouter; start route-level A/B tests there.
- Qwen3.7-Max is $26.25/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.5 is $26.25/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.5 adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-23 | 2026-05-19 |
| Context window | 1.05m | 1m |
| Parameters | — | — |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | GPT-5.5 | Qwen3.7-Max |
|---|---|---|
| Input price |
| $1.25/1M tokens |
| Output price |
| $3.75/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.5 | Qwen3.7-Max |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-5.5 | Qwen3.7-Max |
|---|---|---|
| MMLU PRO | 88.1 | 89.6 |
| SWE-bench Verified | 82.6 | 80.4 |
| SWE-bench Pro | 58.6 | 60.6 |
| Google-Proof Q&A | 93.6 | 92.4 |
| Humanity's Last Exam | 41.4 | 41.4 |
| Chatbot Arena | 1488.0 | 1475.0 |
| Terminal-Bench 2.0 | 82.7 | 69.7 |
| GeneBench-Pro | 12.0 | 4.0 |
| MCP-Atlas | 75.3 | 76.4 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.