Nano Banana Pro (Gemini 3 Pro Image Preview) vs Magistral Small 2509
Nano Banana Pro (Gemini 3 Pro Image Preview) (2025) and Magistral Small 2509 (2025) are compact production models from Google DeepMind and MistralAI. Nano Banana Pro (Gemini 3 Pro Image Preview) ships a 66K-token context window, while Magistral Small 2509 ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Magistral Small 2509 is ~300% cheaper at $0.50/1M; pay for Nano Banana Pro (Gemini 3 Pro Image Preview) only for provider fit.
Decision scorecard
Local evidence first| Signal | Nano Banana Pro (Gemini 3 Pro Image Preview) | Magistral Small 2509 |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | General | General |
| Context window | 66K | — |
| Cheapest output | $120/1M tokens | $1.50/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Nano Banana Pro (Gemini 3 Pro Image Preview) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nano Banana Pro (Gemini 3 Pro Image Preview) has broader tracked provider coverage for fallback and route flexibility.
- Magistral Small 2509 has the lower cheapest tracked output price at $1.50/1M tokens.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nano Banana Pro (Gemini 3 Pro Image Preview)
$31,600
Cheapest tracked route/tier: Google AI Studio
Magistral Small 2509
$775
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $30,825. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Nano Banana Pro (Gemini 3 Pro Image Preview) and Magistral Small 2509; plan for SDK, billing, or endpoint changes.
- Magistral Small 2509 is $119/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- No overlapping tracked provider route is sourced for Magistral Small 2509 and Nano Banana Pro (Gemini 3 Pro Image Preview); plan for SDK, billing, or endpoint changes.
- Nano Banana Pro (Gemini 3 Pro Image Preview) is $119/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2025-09-01 |
| Context window | 66K | — |
| Parameters | — | 24B |
| Architecture | Decoder Only | - |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nano Banana Pro (Gemini 3 Pro Image Preview) | Magistral Small 2509 |
|---|---|---|
| Input price | $2/1M tokens | $0.50/1M tokens |
| Output price | $120/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana Pro (Gemini 3 Pro Image Preview) | Magistral Small 2509 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Nano Banana Pro (Gemini 3 Pro Image Preview) lists $2/1M input and $120/1M output tokens on the cheapest listed provider, while Magistral Small 2509 lists $0.50/1M input and $1.50/1M output tokens on the cheapest listed provider. A 70/30 input-output blend puts Magistral Small 2509 lower by about $36.60 per million blended tokens. Availability is 3 providers versus 2, 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 Magistral Small 2509 when provider fit 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 is cheaper, Nano Banana Pro (Gemini 3 Pro Image Preview) or Magistral Small 2509?
Magistral Small 2509 is cheaper on listed token pricing. Nano Banana Pro (Gemini 3 Pro Image Preview) costs $2/1M input and $120/1M output tokens. Magistral Small 2509 costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana Pro (Gemini 3 Pro Image Preview) or Magistral Small 2509 open source?
Nano Banana Pro (Gemini 3 Pro Image Preview) is listed under Proprietary. Magistral Small 2509 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.
Where can I run Nano Banana Pro (Gemini 3 Pro Image Preview) and Magistral Small 2509?
Nano Banana Pro (Gemini 3 Pro Image Preview) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Magistral Small 2509 is available on AWS Bedrock and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Nano Banana Pro (Gemini 3 Pro Image Preview) over Magistral Small 2509?
Magistral Small 2509 is ~300% cheaper at $0.50/1M; pay for Nano Banana Pro (Gemini 3 Pro Image Preview) only for provider fit. If your workload also depends on provider fit, start with Nano Banana Pro (Gemini 3 Pro Image Preview); if it depends on provider fit, run the same evaluation with Magistral Small 2509.
Continue comparing
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Last reviewed: 2026-10-20. Data sourced from public model cards and provider documentation.