Nano Banana Pro (Gemini 3 Pro Image Preview) vs GLM-5
Nano Banana Pro (Gemini 3 Pro Image Preview) (2025) and GLM-5 (2026) are frontier reasoning models from Google DeepMind and Zhipu AI. Nano Banana Pro (Gemini 3 Pro Image Preview) ships a 66k-token context window, while GLM-5 ships a 200k-token context window. On pricing, GLM-5 costs $0.60/1M input tokens versus $2/1M 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.
GLM-5 is ~233% cheaper at $0.60/1M; 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) | GLM-5 |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | General | Coding, RAG, and Agents |
| Context window | 66k | 200k |
| Cheapest output | $120/1M tokens | $2.08/1M tokens |
| Provider routes | 3 tracked | 7 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Nano Banana Pro (Gemini 3 Pro Image Preview) when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- GLM-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 has the lower cheapest tracked output price at $2.08/1M tokens.
- GLM-5 has broader tracked provider coverage for fallback and procurement flexibility.
- GLM-5 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags GLM-5 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 Pro (Gemini 3 Pro Image Preview)
$31,600
Cheapest tracked route/tier: Google AI Studio
GLM-5
$1,000
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $30,600. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and GCP Vertex AI; start route-level A/B tests there.
- GLM-5 is $118/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- GLM-5 adds Reasoning, Function calling, and Tool use in local capability data.
- Provider overlap exists on GCP Vertex AI and OpenRouter; start route-level A/B tests there.
- Nano Banana Pro (Gemini 3 Pro Image Preview) is $118/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2026-02-11 |
| Context window | 66k | 200k |
| Parameters | — | 744B total, 40B active |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | MIT |
| Knowledge cutoff | - | 2025-11 |
Pricing and availability
| Pricing attribute | Nano Banana Pro (Gemini 3 Pro Image Preview) | GLM-5 |
|---|---|---|
| Input price | $2/1M tokens | $0.60/1M tokens |
| Output price | $120/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana Pro (Gemini 3 Pro Image Preview) | GLM-5 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| 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 reasoning mode: GLM-5, function calling: GLM-5, tool use: GLM-5, and structured outputs: GLM-5. 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 on the cheapest tracked provider, while GLM-5 lists $0.60/1M input and $2.08/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-5 lower by about $36.36 per million blended tokens. Availability is 3 providers versus 7, so concentration risk also matters.
Choose Nano Banana Pro (Gemini 3 Pro Image Preview) when provider fit are central to the workload. Choose GLM-5 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 GLM-5?
GLM-5 supports 200k 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 GLM-5?
GLM-5 is cheaper on tracked token pricing. Nano Banana Pro (Gemini 3 Pro Image Preview) costs $2/1M input and $120/1M output tokens. GLM-5 costs $0.60/1M input and $2.08/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana Pro (Gemini 3 Pro Image Preview) or GLM-5 open source?
Nano Banana Pro (Gemini 3 Pro Image Preview) is listed under Proprietary. GLM-5 is listed under MIT. 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 reasoning mode, Nano Banana Pro (Gemini 3 Pro Image Preview) or GLM-5?
GLM-5 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.
Which is better for function calling, Nano Banana Pro (Gemini 3 Pro Image Preview) or GLM-5?
GLM-5 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.
Where can I run Nano Banana Pro (Gemini 3 Pro Image Preview) and GLM-5?
Nano Banana Pro (Gemini 3 Pro Image Preview) is available on Google AI Studio, GCP Vertex AI, and OpenRouter. GLM-5 is available on Fireworks AI, OpenRouter, Together AI, GCP Vertex AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-31. Data sourced from public model cards and provider documentation.