LLM Reference

Nano Banana 2 (Gemini 3.1 Flash Image) vs Qwen3.5-9B

Nano Banana 2 (Gemini 3.1 Flash Image) (2026) and Qwen3.5-9B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Nano Banana 2 (Gemini 3.1 Flash Image) ships a 131k-token context window, while Qwen3.5-9B ships a 262k-token context window. On pricing, Qwen3.5-9B costs $0.10/1M input tokens versus $0.50/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Qwen3.5-9B is ~400% cheaper at $0.10/1M; pay for Nano Banana 2 (Gemini 3.1 Flash Image) only for reasoning depth.

Decision scorecard

Local evidence first
SignalNano Banana 2 (Gemini 3.1 Flash Image)Qwen3.5-9B
Best forreasoning-heavy apps and multimodal appsmultimodal apps, tool-calling agents, and provider-routed production
Decision fitLong context and VisionRAG, Agents, and Long context
Context window131k262k
Cheapest output$60/1M tokens$0.15/1M tokens
Provider routes1 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Nano Banana 2 (Gemini 3.1 Flash Image) when...
  • Nano Banana 2 (Gemini 3.1 Flash Image) uniquely exposes Reasoning in local model data.
  • Local decision data tags Nano Banana 2 (Gemini 3.1 Flash Image) for Long context and Vision.
Choose Qwen3.5-9B when...
  • Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
  • Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3.5-9B uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Qwen3.5-9B for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Qwen3.5-9B

Nano Banana 2 (Gemini 3.1 Flash Image)

$15,400

Cheapest tracked route/tier: Google AI Studio

Qwen3.5-9B

$118

Cheapest tracked route/tier: Together AI

Estimated monthly gap: $15,283. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Nano Banana 2 (Gemini 3.1 Flash Image) -> Qwen3.5-9B
  • No overlapping tracked provider route is sourced for Nano Banana 2 (Gemini 3.1 Flash Image) and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-9B is $59.85/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Qwen3.5-9B adds Function calling, Tool use, and Structured outputs in local capability data.
Qwen3.5-9B -> Nano Banana 2 (Gemini 3.1 Flash Image)
  • No overlapping tracked provider route is sourced for Qwen3.5-9B and Nano Banana 2 (Gemini 3.1 Flash Image); plan for SDK, billing, or endpoint changes.
  • Nano Banana 2 (Gemini 3.1 Flash Image) is $59.85/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
  • Nano Banana 2 (Gemini 3.1 Flash Image) adds Reasoning in local capability data.

Specs

Specification
Released2026-05-282026-03-02
Context window131k262k
Parameters9B
Architecturedecoder onlydecoder only
LicenseProprietaryApache 2.0
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeNano Banana 2 (Gemini 3.1 Flash Image)Qwen3.5-9B
Input price$0.50/1M tokens$0.10/1M tokens
Output price$60/1M tokens$0.15/1M tokens
Providers

Capabilities

CapabilityNano Banana 2 (Gemini 3.1 Flash Image)Qwen3.5-9B
VisionYesYes
MultimodalYesYes
ReasoningYesNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Nano Banana 2 (Gemini 3.1 Flash Image), function calling: Qwen3.5-9B, tool use: Qwen3.5-9B, and structured outputs: Qwen3.5-9B. Both models share vision and multimodal input, 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 2 (Gemini 3.1 Flash Image) lists $0.50/1M input and $60/1M output tokens on the cheapest tracked provider, while Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-9B lower by about $18.24 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.

Choose Nano Banana 2 (Gemini 3.1 Flash Image) when reasoning depth are central to the workload. Choose Qwen3.5-9B when long-context analysis, 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 2 (Gemini 3.1 Flash Image) or Qwen3.5-9B?

Qwen3.5-9B supports 262k tokens, while Nano Banana 2 (Gemini 3.1 Flash Image) supports 131k 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 2 (Gemini 3.1 Flash Image) or Qwen3.5-9B?

Qwen3.5-9B is cheaper on tracked token pricing. Nano Banana 2 (Gemini 3.1 Flash Image) costs $0.50/1M input and $60/1M output tokens. Qwen3.5-9B costs $0.10/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Nano Banana 2 (Gemini 3.1 Flash Image) or Qwen3.5-9B open source?

Nano Banana 2 (Gemini 3.1 Flash Image) is listed under Proprietary. Qwen3.5-9B 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, Nano Banana 2 (Gemini 3.1 Flash Image) or Qwen3.5-9B?

Both Nano Banana 2 (Gemini 3.1 Flash Image) and Qwen3.5-9B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for multimodal input, Nano Banana 2 (Gemini 3.1 Flash Image) or Qwen3.5-9B?

Both Nano Banana 2 (Gemini 3.1 Flash Image) and Qwen3.5-9B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Nano Banana 2 (Gemini 3.1 Flash Image) and Qwen3.5-9B?

Nano Banana 2 (Gemini 3.1 Flash Image) is available on Google AI Studio. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-31. Data sourced from public model cards and provider documentation.