gpt-realtime-1.5 vs Qwen3.5-397B-A17B
gpt-realtime-1.5 (2025) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from OpenAI and Alibaba. gpt-realtime-1.5 ships a 32K-token context window, while Qwen3.5-397B-A17B ships a 262K-token context window. On pricing, Qwen3.5-397B-A17B costs $0.39/1M input tokens versus $4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Qwen3.5-397B-A17B is ~926% cheaper at $0.39/1M; pay for gpt-realtime-1.5 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | gpt-realtime-1.5 | Qwen3.5-397B-A17B |
|---|---|---|
| Decision fit | Agents, Vision, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 32K | 262K |
| Cheapest output | $16/1M tokens | $2.34/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- gpt-realtime-1.5 uniquely exposes Vision in local model data.
- Local decision data tags gpt-realtime-1.5 for Agents, Vision, and JSON / Tool use.
- Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-397B-A17B has the lower cheapest tracked output price at $2.34/1M tokens.
- Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-397B-A17B uniquely exposes Reasoning and Structured outputs in local model data.
- Local decision data tags Qwen3.5-397B-A17B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
gpt-realtime-1.5
$7,200
Cheapest tracked route: OpenAI API
Qwen3.5-397B-A17B
$897
Cheapest tracked route: OpenRouter
Estimated monthly gap: $6,303. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for gpt-realtime-1.5 and Qwen3.5-397B-A17B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-397B-A17B is $13.66/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision before moving production traffic.
- Qwen3.5-397B-A17B adds Reasoning and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-397B-A17B and gpt-realtime-1.5; plan for SDK, billing, or endpoint changes.
- gpt-realtime-1.5 is $13.66/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Structured outputs before moving production traffic.
- gpt-realtime-1.5 adds Vision in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2026-02-16 |
| Context window | 32K | 262K |
| Parameters | — | 397B |
| Architecture | decoder only | MoE |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2024-09 | - |
Pricing and availability
| Pricing attribute | gpt-realtime-1.5 | Qwen3.5-397B-A17B |
|---|---|---|
| Input price | $4/1M tokens | $0.39/1M tokens |
| Output price | $16/1M tokens | $2.34/1M tokens |
| Providers |
Capabilities
| Capability | gpt-realtime-1.5 | Qwen3.5-397B-A17B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: gpt-realtime-1.5, reasoning mode: Qwen3.5-397B-A17B, and structured outputs: Qwen3.5-397B-A17B. Both models share multimodal input, function calling, and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, gpt-realtime-1.5 lists $4/1M input and $16/1M output tokens, while Qwen3.5-397B-A17B lists $0.39/1M input and $2.34/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-397B-A17B lower by about $6.63 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose gpt-realtime-1.5 when vision-heavy evaluation are central to the workload. Choose Qwen3.5-397B-A17B when reasoning depth, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, gpt-realtime-1.5 or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B supports 262K tokens, while gpt-realtime-1.5 supports 32K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, gpt-realtime-1.5 or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B is cheaper on tracked token pricing. gpt-realtime-1.5 costs $4/1M input and $16/1M output tokens. Qwen3.5-397B-A17B costs $0.39/1M input and $2.34/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is gpt-realtime-1.5 or Qwen3.5-397B-A17B open source?
gpt-realtime-1.5 is listed under Proprietary. Qwen3.5-397B-A17B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, gpt-realtime-1.5 or Qwen3.5-397B-A17B?
gpt-realtime-1.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, gpt-realtime-1.5 or Qwen3.5-397B-A17B?
Both gpt-realtime-1.5 and Qwen3.5-397B-A17B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run gpt-realtime-1.5 and Qwen3.5-397B-A17B?
gpt-realtime-1.5 is available on OpenAI API. Qwen3.5-397B-A17B is available on OpenRouter, Together AI, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.