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Gemini 3.1 Pro vs Claude 4.5 Haiku

Compare pricing, context windows, and strengths for Gemini 3.1 Pro by Google and Claude 4.5 Haiku by Anthropic - and see how to put either to work in Appaca.

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Gemini 3.1 Pro

Google's most advanced reasoning Gemini model, built for complex multimodal problem-solving, software engineering, and long-horizon agentic workflows.

View Gemini 3.1 Pro
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Claude 4.5 Haiku

A fast, small model delivering near-frontier coding and computer-use performance at ultra-low cost with exceptional speed and strong safety.

View Claude 4.5 Haiku

Gemini 3.1 Pro vs Claude 4.5 Haiku at a glance

Specs and pricing side by side, from the Appaca AI models directory.

Spec Gemini 3.1 Pro Claude 4.5 Haiku
Provider Google Anthropic
Model type Text Text
Context window 1.05M tokens 200K tokens
Input price $4 / 1M tokens $1 / 1M tokens
Output price $18 / 1M tokens $5 / 1M tokens
Status Current Current
Key differences

How Gemini 3.1 Pro and Claude 4.5 Haiku differ

What the numbers mean in practice when choosing between Gemini 3.1 Pro and Claude 4.5 Haiku.

  • Claude 4.5 Haiku is 75% cheaper on input tokens ($1 vs $4 per million), which adds up quickly in document-heavy workloads.

  • Claude 4.5 Haiku is 72% cheaper on output tokens ($5 vs $18 per million) - the bigger factor for tools that generate long documents.

  • Gemini 3.1 Pro's 1.05M tokens context window is roughly 5.2x larger than Claude 4.5 Haiku's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.

Strengths side by side

Where each model shines, according to benchmarks and provider positioning.

Gemini 3.1 Pro

1. Google's most advanced reasoning Gemini model

  • Designed to solve complex problems across multimodal inputs, including text, audio, images, video, PDFs, and full code repositories.
  • Google highlights improved software engineering behavior, better agentic performance, and stronger usability in domains like finance and spreadsheets.

2. Large multimodal context with substantial output room

  • Supports a 1,048,576 token input context window for large repositories, long documents, and multi-source workflows.
  • Allows up to 65,536 output tokens for longer answers, plans, and code generations.

3. More efficient thinking with expanded controls

  • Improves token efficiency and reasoning performance across use cases.
  • Adds the MEDIUM thinking_level option to better balance cost, speed, and quality.

4. Strong support for production agents

  • Supports grounding with Google Search, code execution, function calling, structured outputs, context caching, RAG, and chat completions.
  • Also offers a custom-tools endpoint tuned for agentic workflows that mix bash-like tools with custom code tools.

Claude 4.5 Haiku

1. Frontier-level coding at small-model speed

  • Similar coding performance to Claude Sonnet 4 at one-third the cost.
  • Runs 4-5x faster than Sonnet 4.5 for many tasks.
  • Ideal for real-time pair programming, prototyping, and rapid iteration.

2. Excellent computer-use abilities

  • Surpasses Claude Sonnet 4 in certain computer-control tasks.
  • Great for agents requiring low-latency tool use (Chrome automation, coding agents, etc.).

3. Perfect for real-time, low-latency applications

  • Chat assistants
  • Customer support agents
  • Interactive development loops
  • Multi-agent orchestration

4. Works seamlessly with Sonnet 4.5 in hybrid agent setups

  • Sonnet 4.5 plans complex workflows.
  • Haiku 4.5 executes subtasks in parallel for speed and cost-efficiency.

5. High alignment & safest Claude model by metric

  • Lower misaligned behavior rates than Haiku 3.5, Sonnet 4.5, and Opus 4.1.
  • Limited CBRN risk → released under AI Safety Level 2 (ASL-2).
Appaca

Use Gemini 3.1 Pro or Claude 4.5 Haiku - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Gemini 3.1 Pro or Claude 4.5 Haiku - 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 Gemini 3.1 Pro or Claude 4.5 Haiku. No code, no API keys, no deployment.

Switch models without rebuilding

Start on Gemini 3.1 Pro, test the same tool on Claude 4.5 Haiku, 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 Gemini 3.1 Pro or Claude 4.5 Haiku - connected to the tools you already use.

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FAQs

Is Gemini 3.1 Pro cheaper than Claude 4.5 Haiku?

Claude 4.5 Haiku is generally cheaper: $1 input / $5 output per million tokens, versus $4 / $18 for Gemini 3.1 Pro. Actual cost depends on how many tokens your workload reads and writes.

Which has the larger context window, Gemini 3.1 Pro or Claude 4.5 Haiku?

Gemini 3.1 Pro has the larger context window at 1.05M tokens, compared to 200K tokens for Claude 4.5 Haiku. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.

Should I use Gemini 3.1 Pro or Claude 4.5 Haiku?

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 Gemini 3.1 Pro, test the same tool on Claude 4.5 Haiku, and switch at any time without rebuilding anything.

Can I use Gemini 3.1 Pro and Claude 4.5 Haiku without writing code?

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 Gemini 3.1 Pro, Claude 4.5 Haiku, 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 Gemini 3.1 Pro or Claude 4.5 Haiku

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.