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Gemini 2.5 Pro vs gemini-3-pro-image-preview

Gemini 2.5 Pro vs gemini-3-pro-image-preview

Full comparison on pricing, capabilities, and context length — pick the right model for your use case

Google
Google

Gemini 2.5 Pro

Google's flagship multimodal model with native million-token (1M) context. Top-tier performance on long-document and large-codebase tasks, with video understanding.

Input

$1.13

Output

$9.00

View Gemini 2.5 Pro details
Google
Google

gemini-3-pro-image-preview

Input

$120.60

Output

$120.60

View gemini-3-pro-image-preview details
ItemGemini 2.5 Progemini-3-pro-image-preview

Brand

Google

Google

Input price (per 1M tokens)

$1.13

$120.60

Output price (per 1M tokens)

$9.00

$120.60

Context length

2.0M tokens

tokens

Max output

8K tokens

Release date

2025-02

Tier

flagship

Vision understanding

Long context

Chain-of-thought reasoning

Function calling

Document processing

Which should I choose?

💰 Budget priority

Gemini 2.5 Pro is cheaper on output pricing. For output-heavy workloads (code generation, content creation), the price gap materially affects monthly cost.

📚 Long documents / large context

Gemini 2.5 Pro has the larger context window (2.0M). Pick it for large codebases, long-form novels, or legal contracts.

💡 Hands-on recommendation

Sign up for Nodebyt to call both models with a single API key — just swap the `model` parameter. A $2 top-up is more than enough for side-by-side evaluation.

Frequently asked questions

Q: What's the difference between Gemini 2.5 Pro and gemini-3-pro-image-preview?

A: Gemini 2.5 Pro (Google) and gemini-3-pro-image-preview (Google) each have their own strengths in pricing, context length, and capability. Gemini 2.5 Pro: input $1.13/M, context 2.0M. gemini-3-pro-image-preview: input $120.60/M, context —. Choose based on your task profile and budget.

Q: Which is cheaper — Gemini 2.5 Pro or gemini-3-pro-image-preview?

A: By output price: Gemini 2.5 Pro is cheaper ($9.00/M).

Q: Can I use Gemini 2.5 Pro and gemini-3-pro-image-preview together?

A: Yes. With Nodebyt, a single API key works across all supported models — just switch the `model` parameter in your code, no separate account required. Ideal for apps that need different models for different scenarios.

Q: Which is better for coding — Gemini 2.5 Pro or gemini-3-pro-image-preview?

A: Check the capability table above for each model's support. Claude Sonnet is widely regarded as the strongest coding model, GPT-5 is well-rounded, and DeepSeek offers standout value. We recommend trying both before committing.

One account, both models

Free trial credits on signup. Switch models by changing one line of code.

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