Nano Banana (Gemini 2.5 Flash Image) vs Qwen3-105B
Nano Banana (Gemini 2.5 Flash Image) (2025) and Qwen3-105B (2025) are compact production models from Google DeepMind and Alibaba. Nano Banana (Gemini 2.5 Flash Image) ships a 33K-token context window, while Qwen3-105B ships a 128k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Qwen3-105B is safer overall; choose Nano Banana (Gemini 2.5 Flash Image) when provider fit matters.
Decision scorecard
Local evidence first| Signal | Nano Banana (Gemini 2.5 Flash Image) | Qwen3-105B |
|---|---|---|
| Decision fit | General | RAG, Agents, and Long context |
| Context window | 33K | 128k |
| Cheapest output | $30/1M tokens | - |
| Provider routes | 3 tracked | 0 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.
- Qwen3-105B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3-105B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Qwen3-105B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Nano Banana (Gemini 2.5 Flash Image)
$7,740
Cheapest tracked route: Google AI Studio
Qwen3-105B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Nano Banana (Gemini 2.5 Flash Image) and Qwen3-105B; plan for SDK, billing, or endpoint changes.
- Qwen3-105B adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen3-105B and Nano Banana (Gemini 2.5 Flash Image); plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-12-15 |
| Context window | 33K | 128k |
| Parameters | — | 105B |
| Architecture | decoder only | - |
| License | Unknown | Open Source |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Nano Banana (Gemini 2.5 Flash Image) | Qwen3-105B |
|---|---|---|
| Input price | $0.3/1M tokens | - |
| Output price | $30/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Nano Banana (Gemini 2.5 Flash Image) | Qwen3-105B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Qwen3-105B and tool use: Qwen3-105B. 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.
Pricing coverage is uneven: Nano Banana (Gemini 2.5 Flash Image) has $0.3/1M input tokens and Qwen3-105B has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Nano Banana (Gemini 2.5 Flash Image) when provider fit and broader provider choice are central to the workload. Choose Qwen3-105B when long-context analysis and larger context windows 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, Nano Banana (Gemini 2.5 Flash Image) or Qwen3-105B?
Qwen3-105B supports 128k 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.
Is Nano Banana (Gemini 2.5 Flash Image) or Qwen3-105B open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Unknown. Qwen3-105B is listed under Open Source. 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 function calling, Nano Banana (Gemini 2.5 Flash Image) or Qwen3-105B?
Qwen3-105B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Nano Banana (Gemini 2.5 Flash Image) or Qwen3-105B?
Qwen3-105B has the clearer documented tool use signal in this comparison. If tool use 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 Qwen3-105B?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Qwen3-105B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Nano Banana (Gemini 2.5 Flash Image) over Qwen3-105B?
Qwen3-105B is safer overall; choose Nano Banana (Gemini 2.5 Flash Image) when provider fit matters. If your workload also depends on provider fit, start with Nano Banana (Gemini 2.5 Flash Image); if it depends on long-context analysis, run the same evaluation with Qwen3-105B.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.