GPT Realtime 2 vs Qwen3.7-Max
GPT Realtime 2 and Qwen3.7-Max are both current production-tier models. Qwen3.7-Max is meaningfully cheaper at $2.5 / $7.5 per 1M. Qwen3.7-Max has a 1M context window — about 8× the 128k of GPT Realtime 2. Qwen3.7-Max leads on coding, reasoning, long-context retrieval.
Specs side by side
| Metric | OpenAI GPT Realtime 2 | Alibaba Qwen3.7-Max |
|---|---|---|
| Input price (per 1M) | $4 | $2.5 |
| Output price (per 1M) | $24 | $7.5 |
| Context window | 128k tokens | 1M tokens |
| Speed tier | ultra | balanced |
| Open weights | No | No |
| EU region | Yes | No |
| Free tier | No | No |
| Prompt caching | No | Yes |
| Vision input | No | No |
| Extended thinking | No | Yes |
When to choose each
Choose GPT Realtime 2 if…
- Low latency matters (ultra vs balanced)
- EU data residency is required
- You need realtime speech-to-speech
Choose Qwen3.7-Max if…
- Cost is a priority ($2.5 / $7.5 per 1M vs $4 / $24 per 1M)
- You need 1M context (8× more than GPT Realtime 2)
- Coding is central to your workload
- Reasoning is central to your workload
Benchmark delta
GPT Realtime 2 leads on
GPT Realtime 2 has no meaningful benchmark lead in this pair.
Qwen3.7-Max leads on
- Coding
- Reasoning
- Long-context retrieval
- Multilingual
FAQ — GPT Realtime 2 vs Qwen3.7-Max
GPT Realtime 2 vs Qwen3.7-Max — which is better?
GPT Realtime 2 and Qwen3.7-Max are both current production-tier models. Qwen3.7-Max is meaningfully cheaper at $2.5 / $7.5 per 1M. Qwen3.7-Max has a 1M context window — about 8× the 128k of GPT Realtime 2. Qwen3.7-Max leads on coding, reasoning, long-context retrieval. The right pick depends on your use case — see "When to choose each" above for a data-driven decision.
How does GPT Realtime 2 pricing compare to Qwen3.7-Max?
GPT Realtime 2 costs $4 / $24 per 1M vs Qwen3.7-Max at $2.5 / $7.5 per 1M. Qwen3.7-Max is cheaper on output tokens by roughly 220%. Both support prompt caching, which reduces effective cost by 80-90% on repeat system prompts.
Does GPT Realtime 2 or Qwen3.7-Max have the bigger context window?
Qwen3.7-Max has a 1M-token context window — 8× the 128k context of GPT Realtime 2. Enough for entire codebases, books, or multi-document RAG.
Is there a free tier for GPT Realtime 2 or Qwen3.7-Max?
GPT Realtime 2: no — Paid-only. Qwen3.7-Max: no — No free API tier; Alibaba Model Studio gives new accounts trial credits.
Which is better for coding — GPT Realtime 2 or Qwen3.7-Max?
Qwen3.7-Max leads on coding benchmarks (GPT Realtime 2: 78/100, Qwen3.7-Max: 88/100). For production coding agents also weigh tool-use performance — GPT Realtime 2 scores 84, Qwen3.7-Max scores 86.