Gemini 3 Flash vs Claude Haiku 4.5
Google's budget model against Anthropic's lightweight. Gemini 3 Flash is 50% cheaper on input and 40% cheaper on output — and has 5× more context. See which fits your workload.
Pricing data verified: 2026-06-20
| Specification | Gemini 3 Flash (Google) | Claude Haiku 4.5 (Anthropic) |
|---|---|---|
| Input Price (per 1M tokens) | $0.50 | $1.00 |
| Output Price (per 1M tokens) | $3.00 | $5.00 |
| Context Window | 1M | 200K |
| Tier | Budget | Budget |
| Provider | Anthropic |
Calculate Your Exact Costs
See how the costs stack up for your specific usage pattern.
Other Models to Consider
Which Model for Which Use Case?
Cost-Sensitive High Volume
Gemini 3 Flash's $0.50/M input and $3.00/M output make it 40-50% cheaper for high-volume tasks. At 1M requests/day, you'd save $90/mo vs Haiku.
Complex Instruction Following
Claude Haiku 4.5 excels at following complex, multi-step instructions. If your prompts are nuanced and require careful adherence, Haiku's training gives it an edge.
Long Context Tasks
Gemini 3 Flash's 1M context window is 5× larger than Haiku's 200K. For long documents, extensive codebases, or multi-turn conversations, Gemini handles far more context.
Google Cloud Integration
If you're already on Google Cloud Platform, Gemini 3 Flash integrates natively with Vertex AI, BigQuery ML, and other GCP services. Switching to Anthropic means separate infrastructure.
Comparing Budget Models?
APIpulse Pro lets you compare all 42 models, find the cheapest option for your exact usage, and save scenarios for your team.
Frequently Asked Questions
Is Gemini 3 Flash cheaper than Claude Haiku 4.5?
Yes. Gemini 3 Flash costs $0.50/M input and $3.00/M output — 50% cheaper on input and 40% cheaper on output than Claude Haiku 4.5's $1.00/M input and $5.00/M output.
When would I choose Claude Haiku 4.5 over Gemini 3 Flash?
Choose Claude Haiku 4.5 if you need Anthropic's superior instruction following, better at following complex prompts, or prefer Anthropic's API ecosystem. Haiku also has 200K context vs Gemini's 1M.
Which model has a better context window?
Gemini 3 Flash has a 1M token context window — 5× larger than Claude Haiku 4.5's 200K. For long documents, extensive codebases, or multi-turn conversations, Gemini handles far more context.
Is Claude Haiku 4.5 worth the premium over Gemini 3 Flash?
For many tasks, Gemini 3 Flash offers better value at 40-50% lower cost with 5× more context. Claude Haiku 4.5 may be worth the premium for tasks requiring Anthropic's specific instruction-following capabilities.