Nano Banana 2 vs Claude 4.8 Opus
Compare pricing, context windows, and strengths for Nano Banana 2 by Google and Claude 4.8 Opus by Anthropic - and see how to put either to work in Appaca.
Nano Banana 2
High-efficiency native image model optimized for fast generation, editing, and conversational image workflows at high throughput.
View Nano Banana 2Claude 4.8 Opus
Anthropic's flagship model for coding and agents, building on Opus 4.7 with stronger reliability, a cheaper fast mode, and gains across coding, computer use, and professional work.
View Claude 4.8 OpusNano Banana 2 vs Claude 4.8 Opus at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Nano Banana 2 | Claude 4.8 Opus |
|---|---|---|
| Provider | Anthropic | |
| Model type | Image | Text |
| Context window | - | 1M tokens |
| Input price | - | $5 / 1M tokens |
| Output price | - | $25 / 1M tokens |
| Status | Current | Current |
How Nano Banana 2 and Claude 4.8 Opus differ
What the numbers mean in practice when choosing between Nano Banana 2 and Claude 4.8 Opus.
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These are different kinds of model: Nano Banana 2 is an image model while Claude 4.8 Opus is a text model, so they often complement each other in a workflow rather than compete.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Nano Banana 2
1. High-efficiency counterpart to Gemini 3 Pro Image
- Google describes Nano Banana 2 as the high-efficiency counterpart to Gemini 3 Pro Image.
- Optimized for speed and high-volume developer use cases rather than maximum pro-grade fidelity.
2. Native image generation + understanding
- Accepts text and image inputs and can output both text and images in a conversational workflow.
- Useful for quick iteration, editing, remixing, and interactive visual applications.
3. Strong throughput with practical image controls
- Supports up to 14 input images per prompt, 128 k input tokens, and 32,768 output tokens.
- Handles multiple aspect ratios and can generate or edit images while keeping latency and cost lower than higher-end image models.
4. Grounded, developer-friendly image workflows
- Supports Google Search grounding and Content Credentials (C2PA) for image outputs.
- All generated images include SynthID watermarking as part of Google's native image stack.
Claude 4.8 Opus
1. Modest but tangible gains across the board
- 69.2% on SWE-bench Pro (+4.9 points over Opus 4.7's 64.3%), 88.6% on SWE-bench Verified, and a 1,890 Elo on GDPval-AA - about 121 Elo ahead of GPT-5.5.
- Anthropic frames it as an incremental refinement of Opus 4.7 rather than a step-change release.
2. The most reliable agent model Anthropic has shipped
- The only model to complete every case end-to-end on Anthropic's internal Super-Agent benchmark, beating prior Opus models and GPT-5.5 at parity on cost.
- Leads CursorBench across every effort level with more efficient tool calling - fewer steps for the same intelligence.
- 84% on Online-Mind2Web and stronger OSWorld-Verified scores make it the strongest computer-use and browser-agent model Anthropic has tested.
3. New highs for professional and legal work
- Highest score ever recorded on Anthropic's Legal Agent Benchmark, and the first model to break 10% on its all-pass standard.
- Roughly a 4x improvement in honesty and calibrated uncertainty versus Opus 4.7 on Anthropic's evaluations.
4. Cheaper, faster controls
- Standard pricing holds at $5/M input and $25/M output, unchanged from Opus 4.7.
- Fast mode now runs at 2.5x speed for $10/M input and $50/M output - about a third of what fast mode cost on prior Opus releases.
- A new effort dial gives finer control over how hard the model works before answering.
5. Long-horizon agent workflows
- 1M token context window in beta and up to 128K output tokens.
- Introduces Dynamic Workflows (research preview) in Claude Code - Opus can write its own orchestration script and run up to 16 concurrent / 1,000 total subagents in a single session.
Use Nano Banana 2 or Claude 4.8 Opus - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Nano Banana 2 or Claude 4.8 Opus - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by Nano Banana 2 or Claude 4.8 Opus. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Nano Banana 2, test the same tool on Claude 4.8 Opus, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by Nano Banana 2 or Claude 4.8 Opus - connected to the tools you already use.







Related comparisons
See how Nano Banana 2 and Claude 4.8 Opus stack up against other models in the directory.
FAQs
Pricing models differ: see the full Nano Banana 2 and Claude 4.8 Opus pages in the Appaca AI models directory for current pricing details.
Context window data is listed on each model's page in the Appaca AI models directory.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Nano Banana 2, test the same tool on Claude 4.8 Opus, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Nano Banana 2, Claude 4.8 Opus, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with Nano Banana 2 or Claude 4.8 Opus
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.