API cost decision in 10 seconds

Gemini 2.5 Pro vs GPT-5.2

Pick Gemini 2.5 Pro when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemini 2.5 Pro when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemini 2.5 Pro is estimated at $6.25 vs $8.75 for GPT-5.2, saving $2.5 (28.6% lower).

Cost-first pickGemini 2.5 Pro
Context-first pickGemini 2.5 Pro
Sample savings$2.528.6%
10x traffic gap$25

Gemini 2.5 Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemini 2.5 Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemini 2.5 ProGPT-5.2
Input-heavy / RAG5M input + 500K outputGemini 2.5 Pro$11.25$15.75
Balanced workload1M input + 1M outputGemini 2.5 Pro$11.25$15.75
Output-heavy chatbot1M input + 5M outputGemini 2.5 Pro$51.25$71.75
Cheaper input Gemini 2.5 Pro $1.25 vs $1.75 / 1M

Gemini 2.5 Pro is $0.5 cheaper per 1M input tokens (28.6% lower; 1.4x difference).

Cheaper output Gemini 2.5 Pro $10 vs $14 / 1M

Gemini 2.5 Pro is $4 cheaper per 1M output tokens (28.6% lower; 1.4x difference).

Larger context Gemini 2.5 Pro 1.05M vs 400K

Gemini 2.5 Pro has 648.58K more context (2.62x larger).

Sample workload Gemini 2.5 Pro $6.25 vs $8.75

Gemini 2.5 Pro is $2.5 cheaper on the standard workload (28.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 2.5 Pro Calculating… Estimated API cost
GPT-5.2 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Gemini 2.5 Pro has the lower input price; Gemini 2.5 Pro has the lower output price; Gemini 2.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Gemini 2.5 Pro is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Gemini 2.5 Pro and $8.75 for GPT-5.2.

Best Fit

Choose Gemini 2.5 Pro when you care most about lower input-token price, lower output-token price, and larger context window.

Choose GPT-5.2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemini 2.5 Pro is estimated at $6.25 vs $8.75 for GPT-5.2, saving $2.5 (28.6% lower).
  • Gemini 2.5 Pro is $2.5 cheaper on the standard workload (28.6% lower).
  • Gemini 2.5 Pro is $0.5 cheaper per 1M input tokens (28.6% lower; 1.4x difference).
  • Gemini 2.5 Pro is $4 cheaper per 1M output tokens (28.6% lower; 1.4x difference).
  • Gemini 2.5 Pro has 648.58K more context (2.62x larger).
Head-to-Head Specs
FeatureGemini 2.5 Pro
(Google)
GPT-5.2
(OpenAI)
Input Price
prompt tokens per 1M
$1.25$1.75
Completion Price
per 1M tokens
$10$14
Sample Workload Cost
1M input + 500K output
$6.25$8.75
Context Window1.05M400K
Release Date
Popularity#55#66

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemini 2.5 ProOn the standard 1M input plus 500K output workload, Gemini 2.5 Pro is estimated at $6.25 vs $8.75 for GPT-5.2, saving $2.5 (28.6% lower).
High-volume input processingGemini 2.5 ProLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemini 2.5 ProLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 2.5 ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

Open Google models

OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

Open OpenAI models
Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

GPT-5.2

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...