API cost decision in 10 seconds

NewGoogle Gemini Pro Latest vs Gemini 3.1 Pro Preview

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T13:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $8 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickBoth models

Sample savings$00%

10x traffic gap$0

Context-window winner: Both models. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Google Gemini Pro Latest	Gemini 3.1 Pro Preview
Input-heavy / RAG	5M input + 500K output	Tie	$16	$16
Balanced workload	1M input + 1M output	Tie	$14	$14
Output-heavy chatbot	1M input + 5M output	Tie	$62	$62

Cheaper input Tie $2 vs $2 / 1M

Both models report the same input price at $2 per 1M tokens.

Cheaper output Tie $12 vs $12 / 1M

Both models report the same output price at $12 per 1M tokens.

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Tie $8 vs $8

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $8.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Google Gemini Pro Latest Calculating… Estimated API cost

Gemini 3.1 Pro Preview 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

both models tie on input price; both models tie on output price; both models report the same context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Google Gemini Pro Latest and $8 for Gemini 3.1 Pro Preview.

Best Fit

Choose Google Gemini Pro Latest when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Gemini 3.1 Pro Preview when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

Both models are estimated at $8 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $8.
Both models report the same input price at $2 per 1M tokens.
Both models report the same output price at $12 per 1M tokens.
Both models report the same context window at 1.05M tokens.

Head-to-Head Specs

Feature	NewGoogle Gemini Pro Latest (Google)	Gemini 3.1 Pro Preview (Google)
Input Price prompt tokens per 1M	$2	$2
Completion Price per 1M tokens	$12	$12
Sample Workload Cost 1M input + 500K output	$8	$8
Context Window	1.05M	1.05M
Release Date	2026-04-27	2026-02-19

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $8 for the standard 1M input plus 500K output workload.
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 26B A4B (free) can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
Gemma 4 31B (free) can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Google Gemini Pro Latest when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
GPT-5.4 offers 1.05M context with $10 sample workload cost.

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Cheaper alternatives

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

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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

Google Gemini Pro Latest

This model always redirects to the latest model in the Google Gemini Pro family.

Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...