Gemini 2.5 Pro vs Gemini 1.5 Pro

Side-by-side comparison of Gemini 2.5 Pro (Google) and Gemini 1.5 Pro (Google). Exact API pricing per million tokens, context windows, output speed, and total cost on real-world prompts.

Specifications

Spec Gemini 2.5 Pro Gemini 1.5 Pro
Provider Google Google
Model id gemini-2.5-pro gemini-1.5-pro
Input price (per 1M tokens) $1.25 $3.50
Output price (per 1M tokens) $10.00 $10.50
Context window 1,048,576 2,000,000
Output speed (tokens/sec) ~90 ~70

Cost on real prompts

Total cost = (input tokens × input price) + (output tokens × output price). Numbers below use the exact pricing tables published by each provider.

Scenario Input Output Gemini 2.5 Pro Gemini 1.5 Pro Cheaper
Short question + answer 50 150 $0.001563 $0.001750 Gemini 2.5 Pro
Code review on one file 500 1,500 $0.015625 $0.017500 Gemini 2.5 Pro
Long document summary 5,000 500 $0.011250 $0.022750 Gemini 2.5 Pro
Heavy reasoning task 2,000 8,000 $0.082500 $0.091000 Gemini 2.5 Pro
Full codebase analysis 50,000 10,000 $0.162500 $0.280000 Gemini 2.5 Pro

Want the exact cost for your prompt instead of these examples? Open the cost calculator pre-loaded with both models →

When to pick which

Heuristics derived from the spec table above. Always validate on your own prompts before committing — these are starting points, not verdicts.

Pick Gemini 2.5 Pro for

  • input-heavy workloads (long context, RAG, document QA) — gemini-2.5-pro is cheaper per input token

Pick Gemini 1.5 Pro for

  • tasks needing a larger context window — gemini-1.5-pro fits 2x more tokens than gemini-2.5-pro

Switching between them

For most use cases, switching providers means updating the model id and the request shape if the providers differ. Within the same provider, it's usually a single-line change.

From Gemini 2.5 Pro to Gemini 1.5 Pro

# Before
model = "gemini-2.5-pro"

# After
model = "gemini-1.5-pro"

If the providers differ (Google vs Google), you'll also need to swap the SDK / endpoint URL. Cross-provider migrations usually take 30 minutes to a few hours depending on how many features (streaming, function calling, tool use) you depend on.

Calculate cost on your own prompt

The examples above use generic input/output ratios. For an exact comparison, paste your real prompt into the calculator — it counts tokens with the right tokenizer for each model and shows side-by-side cost.

Open the calculator with both models →