Choose Cohere: Command A if…
- you need to fit long inputs in one request — 256K tokens is roughly 384 pages, against 197
Neither wins outright: Cohere: Command A is the pick when you need to fit long inputs in one request, Google: Nano Banana Pro (Gemini 3 Pro Image) when you need tool / function calling.
| Spec | Cohere: Command A | Google: Nano Banana Pro (Gemini 3 Pro Image) |
|---|---|---|
| Provider | Cohere | |
| Input price (per 1M tokens) | $2.50 | $2.00 |
| Output price (per 1M tokens) | $10.00 | $12.00 |
| Blended price (3:1 input/output) | $4.38 | $4.50 |
| Cheaper than … of all models we track | 13% | 12% |
| Context window | 256K tokens (~384 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 44% | 22% |
| Max output per response | 8K tokens (~6,100 words) | 33K tokens (~24,600 words) |
| Input types | text | image, text |
| Output types | text | image, text |
| Free variant | No | No |
| Listed since | 2025-03-13 | 2026-06-18 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Cohere: Command A | Google: Nano Banana Pro (Gemini 3 Pro Image) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $388 | $390 | Cohere: Command A saves $2.50 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $400 | $360 | Google: Nano Banana Pro (Gemini 3 Pro Image) saves $40.00 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $420 | $384 | Google: Nano Banana Pro (Gemini 3 Pro Image) saves $36.00 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $260 | $232 | Google: Nano Banana Pro (Gemini 3 Pro Image) saves $28.00 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $135 | $112 | Google: Nano Banana Pro (Gemini 3 Pro Image) saves $23.00 |
| Capability | Cohere: Command A | Google: Nano Banana Pro (Gemini 3 Pro Image) | What it lets you do |
|---|---|---|---|
| Tool / function calling | — | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | — | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | ✓ Yes | generate images, not just text |
| Built-in web search | — | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Neither wins outright: Cohere: Command A is the pick when you need to fit long inputs in one request, Google: Nano Banana Pro (Gemini 3 Pro Image) when you need tool / function calling. In short: Cohere: Command A when you need to fit long inputs in one request; Google: Nano Banana Pro (Gemini 3 Pro Image) when you need tool / function calling, you need reasoning / thinking mode, you need image input, you need image output, you need built-in web search, you generate long outputs in one go, you want the newer model.
Cohere: Command A is cheaper: $4.38 vs $4.50 per 1M tokens at a typical 3:1 input/output mix, 3% less. For 50,000 support conversations a month that is $388 against $390.
Cohere: Command A costs $2.50 per 1M input tokens and $10.00 per 1M output tokens; Google: Nano Banana Pro (Gemini 3 Pro Image) costs $2.00 input and $12.00 output. Output tokens are billed separately, so long answers shift the gap.
Cohere: Command A: 256K tokens, about 384 pages, against 131K (about 197 pages) for Google: Nano Banana Pro (Gemini 3 Pro Image).
Tool calling — Cohere: Command A: not advertised, Google: Nano Banana Pro (Gemini 3 Pro Image): yes. JSON-schema structured output — Cohere: Command A: yes, Google: Nano Banana Pro (Gemini 3 Pro Image): yes.
Only Google: Nano Banana Pro (Gemini 3 Pro Image) accepts image input; Cohere: Command A is text-only for input.
No free variant is listed for either; both are pay-per-token.
Cohere: Command A can write up to 8K tokens (about 6,100 words) per response; Google: Nano Banana Pro (Gemini 3 Pro Image) up to 33K (about 24,600 words).
Cohere: Command A was listed on 2025-03-13; Google: Nano Banana Pro (Gemini 3 Pro Image) on 2026-06-18.
Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...
Full Cohere: Command A specs →Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...
Full Google: Nano Banana Pro (Gemini 3 Pro Image) specs →