Qwen3.7 Max vs GPT-5.6 Terra compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
GPT-5.6 Terra — full profile ›
Prices & specs refreshed from live data · OpenSourceAI.tech
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Qwen3.7 Max | GPT-5.6 Terra |
|---|---|---|
| Maker | Alibaba | OpenAI |
| Type | Open-weight | Proprietary |
| Context window | 1M tokens | 1.1M tokens |
| Input price | $1.48/M · free self-host | $2.5/M |
| Output price | $4.43/M · free self-host | $15/M |
| Vision / multimodal | No | Yes |
| Tool / function calling | Yes | Yes |
| Self-hostable | Yes | No (API only) |
| License | Apache 2.0 | Proprietary |
| Capability | Qwen3.7 Max | GPT-5.6 Terra |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✓ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | Qwen3.7 Max | GPT-5.6 Terra |
|---|---|---|
| Cost-efficiency | 4.0 | 3.0 |
| Context window | 5.0 | 5.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Qwen3.7 Max is open-weight and competitive on many tasks, but GPT-5.6 Terra may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. Qwen3.7 Max has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-5.6 Terra is API-only and cannot be self-hosted.
Qwen3.7 Max costs $4.43/M output vs $15/M for GPT-5.6 Terra — roughly 3x cheaper via API, and free if you self-host.
Choose Qwen3.7 Max if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-5.6 Terra if you want frontier capability through a managed API with zero infrastructure to run.
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