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Gemini 2.5 Pro vs GPT-5

Pricing verdict: Gemini 2.5 Pro vs GPT-5: pricing is a tie at $1.25/M input and $10.00/M output. The real choice is context: Gemini 2.5 Pro is better for long-context tasks (2,000,000 tokens vs 1,000,000).

Direct answer: pricing is a tie. Choose Gemini 2.5 Pro for the larger 2M context window, or pick GPT-5 if 1M is already enough for your workload.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Google
Gemini 2.5 Pro
vs
OpenAI
GPT-5

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 2.5 Pro

Per Request:$0.006250
Daily:$0.625
Monthly:$18.75
Yearly:$228.125

GPT-5

Per Request:$0.006250
Daily:$0.625
Monthly:$18.75
Yearly:$228.125

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $18.75/month. Pick Gemini 2.5 Pro if you need the larger 2M context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureGemini 2.5 ProGPT-5
ProviderGoogleOpenAI
Input Price$1.25/1M tokens$1.25/1M tokens
Output Price$10.00/1M tokens$10.00/1M tokens
Context Window2,000,000 tokens1,000,000 tokens
Max Output131,072 tokens131,072 tokens
Categoryflagshipflagship
Capabilities
textvisionaudiovideocode
textvisionaudiocode
Release Date3/25/20258/7/2025

Gemini 2.5 Pro vs GPT-5: Which Should You Choose?

Choosing between Gemini 2.5 Pro and GPT-5 depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 1,000,000 for GPT-5.

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 flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — direct API pricing stays tied, so the real decision is context, latency, and provider fit.

Output costs matter too. Gemini 2.5 Pro charges $10.00/1M output tokens vs $10.00 for GPT-5.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Gemini 2.5 Pro when:

  • • You need a larger context window (2,000,000 tokens)
  • • You need more capabilities (video)
  • • You're already using Google's API ecosystem

Choose GPT-5 when:

  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

Gemini 2.5 Pro

  • Input pricing: $1.25/M tokens
  • Output pricing: $10.00/M tokens
  • Context window: 2,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Trade-offs are minor in this matchup.

GPT-5

  • Input pricing: $1.25/M tokens
  • Output pricing: $10.00/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Smaller context window than Gemini 2.5 Pro

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 2.5 Pro (Google)

GPT-5 (OpenAI)

Start using Gemini 2.5 Pro today

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Start using GPT-5 today

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Frequently Asked Questions

Which is cheaper, Gemini 2.5 Pro or GPT-5?
They are priced the same at $1.25 per million input tokens and $10.00 per million output tokens. The real difference is context and workload fit: Gemini 2.5 Pro gives you 2,000,000 tokens of context vs 1,000,000 for GPT-5.
What is the context window difference between Gemini 2.5 Pro and GPT-5?
Gemini 2.5 Pro supports 2,000,000 tokens while GPT-5 supports 1,000,000 tokens — a difference of 1,000,000 tokens in favor of Gemini 2.5 Pro.
Which model is better for AI Chatbot?
Both models support text, and direct token pricing is tied. For ai chatbot, start with Gemini 2.5 Pro if you need the larger 2,000,000-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $18.75/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.
Where can I compare Google and OpenAI API pricing beyond this model matchup?
See the Google vs OpenAI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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