Gemini 3 Flash vs GPT-5.4 mini
Gemini 3 Flash vs GPT-5.4 mini: Gemini 3 Flash is cheaper for input-heavy usage ($0.50/M vs $0.75/M input tokens), while GPT-5.4 mini is better for long-context tasks (1,050,000 tokens).
Direct answer: choose Gemini 3 Flash for lower token spend and choose GPT-5.4 mini when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 3 Flash
GPT-5.4 mini
Cost Differences
GPT-5.4 mini costs more than Gemini 3 Flash
Quick Recommendation
Winner for direct API pricing: Gemini 3 Flash. At the default workload, Gemini 3 Flash saves about $3.00/month ($36.50/year) versus GPT-5.4 mini.
Feature Comparison
| Feature | Gemini 3 Flash | GPT-5.4 mini |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.50/1M tokens | $0.75/1M tokens |
| Output Price | $3.00/1M tokens | $4.50/1M tokens |
| Context Window | 1,000,000 tokens | 1,050,000 tokens |
| Max Output | 65,536 tokens | 65,536 tokens |
| Category | efficient | efficient |
| Capabilities | textvisionaudiocode | textvisioncode |
| Release Date | 12/17/2025 | 3/6/2026 |
Gemini 3 Flash vs GPT-5.4 mini: Which Should You Choose?
Choosing between Gemini 3 Flash and GPT-5.4 mini depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3 Flash is the more affordable option at $0.50/1M input tokens — 33% cheaper than GPT-5.4 mini. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 tokens vs 1,000,000 for Gemini 3 Flash.
These models come from different providers — Google and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Gemini 3 Flash would save you roughly $300.00/month compared to GPT-5.4 mini. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 3 Flash charges $3.00/1M output tokens vs $4.50 for GPT-5.4 mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 3 Flash has the edge here at $3.00/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Gemini 3 Flash when:
- • Budget is a primary concern
- • You need more capabilities (audio)
- • You're already using Google's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5.4 mini when:
- • You need a larger context window (1,050,000 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Gemini 3 Flash
- • Input pricing: $0.50/M tokens
- • Output pricing: $3.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Smaller context window than GPT-5.4 mini
GPT-5.4 mini
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher input cost than Gemini 3 Flash
- • Higher output cost than Gemini 3 Flash
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 3 Flash (Google)
GPT-5.4 mini (OpenAI)
Start using Gemini 3 Flash today
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Gemini 3 Flash or GPT-5.4 mini?▼
What is the context window difference between Gemini 3 Flash and GPT-5.4 mini?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Google and OpenAI API pricing beyond this model matchup?▼
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