Nano Banana Pro (Gemini 3 Pro Image Preview) vs Qwen3.5-397B-A17B
Nano Banana Pro (Gemini 3 Pro Image Preview) (2025) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Nano Banana Pro (Gemini 3 Pro Image Preview) ships a 66K-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 $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Qwen3.5-397B-A17B is ~413% cheaper at $0.39/1M; pay for Nano Banana Pro (Gemini 3 Pro Image Preview) only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2026-02-16 |
| Context window | 66K | 262K |
| Parameters | — | 397B |
| Architecture | decoder only | MoE |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nano Banana Pro (Gemini 3 Pro Image Preview) | Qwen3.5-397B-A17B |
|---|---|---|
| Input price | $2/1M tokens | $0.39/1M tokens |
| Output price | $120/1M tokens | $2.34/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana Pro (Gemini 3 Pro Image Preview) | Qwen3.5-397B-A17B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | 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 multimodal input: Qwen3.5-397B-A17B, reasoning mode: Qwen3.5-397B-A17B, function calling: Qwen3.5-397B-A17B, tool use: Qwen3.5-397B-A17B, and structured outputs: Qwen3.5-397B-A17B. Both models share the core language-model surface, 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, Nano Banana Pro (Gemini 3 Pro Image Preview) lists $2/1M input and $120/1M 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 $36.42 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Nano Banana Pro (Gemini 3 Pro Image Preview) when provider fit and broader provider choice 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.
FAQ
Which has a larger context window, Nano Banana Pro (Gemini 3 Pro Image Preview) or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B supports 262K tokens, while Nano Banana Pro (Gemini 3 Pro Image Preview) supports 66K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Nano Banana Pro (Gemini 3 Pro Image Preview) or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B is cheaper on tracked token pricing. Nano Banana Pro (Gemini 3 Pro Image Preview) costs $2/1M input and $120/1M 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 Nano Banana Pro (Gemini 3 Pro Image Preview) or Qwen3.5-397B-A17B open source?
Nano Banana Pro (Gemini 3 Pro Image Preview) is listed under Unknown. 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 multimodal input, Nano Banana Pro (Gemini 3 Pro Image Preview) or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, Nano Banana Pro (Gemini 3 Pro Image Preview) or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Nano Banana Pro (Gemini 3 Pro Image Preview) and Qwen3.5-397B-A17B?
Nano Banana Pro (Gemini 3 Pro Image Preview) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Qwen3.5-397B-A17B is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.