Nano Banana (Gemini 2.5 Flash Image) vs Qwen3.5-122B-A10B
Nano Banana (Gemini 2.5 Flash Image) (2025) and Qwen3.5-122B-A10B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Nano Banana (Gemini 2.5 Flash Image) ships a 33k-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On pricing, Qwen3.5-122B-A10B costs $0.26/1M input tokens versus $0.30/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.5-122B-A10B fits 8x more tokens; pick it for long-context work and Nano Banana (Gemini 2.5 Flash Image) for tighter calls.
Decision scorecard
Local evidence first| Signal | Nano Banana (Gemini 2.5 Flash Image) | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | General | Coding, RAG, and Agents |
| Context window | 33k | 262k |
| Cheapest output | $30/1M tokens | $2.08/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nano Banana (Gemini 2.5 Flash Image) has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-122B-A10B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
- Qwen3.5-122B-A10B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Qwen3.5-122B-A10B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nano Banana (Gemini 2.5 Flash Image)
$7,740
Cheapest tracked route/tier: Google AI Studio
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $7,012. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.5-122B-A10B is $27.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3.5-122B-A10B adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Nano Banana (Gemini 2.5 Flash Image) is $27.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2026-02-24 |
| Context window | 33k | 262k |
| Parameters | — | 122B |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nano Banana (Gemini 2.5 Flash Image) | Qwen3.5-122B-A10B |
|---|---|---|
| Input price | $0.30/1M tokens | $0.26/1M tokens |
| Output price | $30/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana (Gemini 2.5 Flash Image) | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Qwen3.5-122B-A10B, multimodal input: Qwen3.5-122B-A10B, reasoning mode: Qwen3.5-122B-A10B, function calling: Qwen3.5-122B-A10B, tool use: Qwen3.5-122B-A10B, and structured outputs: Qwen3.5-122B-A10B. 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 (Gemini 2.5 Flash Image) lists $0.30/1M input and $30/1M output tokens on the cheapest tracked provider, while Qwen3.5-122B-A10B lists $0.26/1M input and $2.08/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-122B-A10B lower by about $8.40 per million blended tokens. Availability is 4 providers versus 3, so concentration risk also matters.
Choose Nano Banana (Gemini 2.5 Flash Image) when provider fit and broader provider choice are central to the workload. Choose Qwen3.5-122B-A10B 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 (Gemini 2.5 Flash Image) or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B supports 262k tokens, while Nano Banana (Gemini 2.5 Flash Image) supports 33k 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 (Gemini 2.5 Flash Image) or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B is cheaper on tracked token pricing. Nano Banana (Gemini 2.5 Flash Image) costs $0.30/1M input and $30/1M output tokens. Qwen3.5-122B-A10B costs $0.26/1M input and $2.08/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana (Gemini 2.5 Flash Image) or Qwen3.5-122B-A10B open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Proprietary. Qwen3.5-122B-A10B 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 (Gemini 2.5 Flash Image) or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B 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, Nano Banana (Gemini 2.5 Flash Image) or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B 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.
Where can I run Nano Banana (Gemini 2.5 Flash Image) and Qwen3.5-122B-A10B?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Qwen3.5-122B-A10B is available on OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.