Gemini 2.5 Flash vs Claude 3.5 Haiku
Compare pricing, context windows, and strengths for Gemini 2.5 Flash by Google and Claude 3.5 Haiku by Anthropic - and see how to put either to work in Appaca.
Gemini 2.5 Flash
A fast, cost-efficient multimodal model optimized for everyday tasks with strong speed, long context, and native audio capabilities.
View Gemini 2.5 FlashClaude 3.5 Haiku
A fast, affordable model matching Claude 3 Opus on many tasks while delivering major improvements in coding, accuracy, and tool use.
View Claude 3.5 HaikuGemini 2.5 Flash vs Claude 3.5 Haiku at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Gemini 2.5 Flash | Claude 3.5 Haiku |
|---|---|---|
| Provider | Anthropic | |
| Model type | Text | Text |
| Context window | 1M tokens | 200K tokens |
| Input price | $0.3 / 1M tokens | $0.8 / 1M tokens |
| Output price | $2.5 / 1M tokens | $4 / 1M tokens |
| Status | Current | Superseded by Claude 4.5 Haiku |
How Gemini 2.5 Flash and Claude 3.5 Haiku differ
What the numbers mean in practice when choosing between Gemini 2.5 Flash and Claude 3.5 Haiku.
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Gemini 2.5 Flash is 63% cheaper on input tokens ($0.3 vs $0.8 per million), which adds up quickly in document-heavy workloads.
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Gemini 2.5 Flash is 38% cheaper on output tokens ($2.5 vs $4 per million) - the bigger factor for tools that generate long documents.
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Gemini 2.5 Flash's 1M tokens context window is roughly 5x larger than Claude 3.5 Haiku's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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Claude 3.5 Haiku has been superseded by Claude 4.5 Haiku - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Gemini 2.5 Flash
1. Highly cost-efficient for large-scale workloads
- Extremely low input cost ($0.30/M) and affordable output cost.
- Built for production environments where throughput and budget matter.
- Significantly cheaper than competitors like o4-mini, Claude Sonnet, and Grok on text workloads.
2. Fast performance optimized for everyday tasks
- Ideal for summarization, chat, extraction, classification, captioning, and lightweight reasoning.
- Designed as a high-speed “workhorse model” for apps that require low latency.
3. Built-in “thinking budget” control
- Adjustable reasoning depth lets developers trade off latency vs. accuracy.
- Enables dynamic cost management for large agent systems.
4. Native multimodality across all major formats
- Inputs: text, images, video, audio, PDFs.
- Outputs: text + native audio synthesis (24 languages with the same voice).
- Great for conversational agents, voice interfaces, multimodal analysis, and captioning.
5. Industry-leading long context window
- 1,000,000 token context window.
- Supports long documents, multi-file processing, large datasets, and long multimedia sequences.
- Stronger MRCR long-context performance vs previous Flash models.
6. Native audio generation and multilingual conversation
- High-quality, expressive audio output with natural prosody.
- Style control for tones, accents, and emotional delivery.
- Noise-aware speech understanding for real-world conditions.
7. Strong benchmark performance for its cost
- 11% on Humanity's Last Exam (no tools) - competitive with Grok and Claude.
- 82.8% on GPQA diamond (science reasoning).
- 72.0% on AIME 2025 single-attempt math.
- Excellent multimodal reasoning (79.7% on MMMU).
- Leading long-context performance in its price tier.
8. Capable coding assistance
- 63.9% on LiveCodeBench (single attempt).
- 61.9%/56.7% on Aider Polyglot (whole/diff).
- Agentic coding support + tool use + function calling.
9. Fully supports tool integration
- Function calling.
- Structured outputs.
- Search-as-a-tool.
- Code execution (via Google Antigravity / Gemini API environments).
10. Production-ready availability
- Available in: Gemini App, Google AI Studio, Gemini API, Vertex AI, Live API.
- General availability (GA) with stable endpoints and documentation.
Claude 3.5 Haiku
1. Intelligence & Benchmark Performance
- Matches Claude 3 Opus (previous largest model) on many intelligence tasks.
- Surpasses Claude 3 Opus on multiple evaluations despite being a smaller, faster model.
- Major improvements across every skill category vs previous Haiku.
2. Coding Strength
Scores 40.6% on SWE-bench Verified, outperforming:
- Claude 3.5 Sonnet (original version)
- GPT-4o
- Many agent-driven systems
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
- Same speed class as Claude 3 Haiku (ultra-fast).
- Ideal for real-time interactions, high request volumes, and UI responsiveness.
4. Tool Use & Instruction Following
- Better at following instructions than previous Haiku.
- Stronger at tool use accuracy, making it reliable for agents and workflows.
5. Best Use Cases
- High-volume, low-latency tasks
- User-facing products
- Sub-agent tasks in larger workflows
- Processing large structured datasets (pricing, inventory, purchase history)
- Rapid content or code generation where speed matters
Use Gemini 2.5 Flash or Claude 3.5 Haiku - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Gemini 2.5 Flash or Claude 3.5 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 2.5 Flash or Claude 3.5 Haiku. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Gemini 2.5 Flash, test the same tool on Claude 3.5 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 2.5 Flash or Claude 3.5 Haiku - connected to the tools you already use.
Related comparisons
See how Gemini 2.5 Flash and Claude 3.5 Haiku stack up against other models in the directory.
FAQs
Gemini 2.5 Flash is generally cheaper: $0.3 input / $2.5 output per million tokens, versus $0.8 / $4 for Claude 3.5 Haiku. Actual cost depends on how many tokens your workload reads and writes.
Gemini 2.5 Flash has the larger context window at 1M tokens, compared to 200K tokens for Claude 3.5 Haiku. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
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 2.5 Flash, test the same tool on Claude 3.5 Haiku, 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 Gemini 2.5 Flash, Claude 3.5 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 2.5 Flash or Claude 3.5 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.