API cost decision in 10 seconds

Gemini 3.1 Pro Preview vs Gemma 4 31B (free)

Pick Gemma 4 31B (free) for lower cost; pick Gemini 3.1 Pro Preview only if the larger context window matters more.

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

Budget verdict

Pick Gemma 4 31B (free) for lower cost; pick Gemini 3.1 Pro Preview only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $8 for Gemini 3.1 Pro Preview, saving $8 (100% lower).

Cost-first pickGemma 4 31B (free)
Context-first pickGemini 3.1 Pro Preview
Sample savings$8100%
10x traffic gap$80

Gemini 3.1 Pro Preview has more context, but Gemma 4 31B (free) saves $8 on the standard workload. At 10x that traffic, the same price gap is about $80. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemini 3.1 Pro PreviewGemma 4 31B (free)
Input-heavy / RAG5M input + 500K outputGemma 4 31B (free)$16$0
Balanced workload1M input + 1M outputGemma 4 31B (free)$14$0
Output-heavy chatbot1M input + 5M outputGemma 4 31B (free)$62$0
Cheaper input Gemma 4 31B (free) $2 vs $0 / 1M

Gemma 4 31B (free) is free for input tokens while Gemini 3.1 Pro Preview costs $2 per 1M tokens.

Cheaper output Gemma 4 31B (free) $12 vs $0 / 1M

Gemma 4 31B (free) is free for output tokens while Gemini 3.1 Pro Preview costs $12 per 1M tokens.

Larger context Gemini 3.1 Pro Preview 1.05M vs 262.14K

Gemini 3.1 Pro Preview has 786.43K more context (4x larger).

Sample workload Gemma 4 31B (free) $8 vs $0

Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $8.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 3.1 Pro Preview Calculating… Estimated API cost
Gemma 4 31B (free) 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

Gemma 4 31B (free) has the lower input price; Gemma 4 31B (free) has the lower output price; Gemini 3.1 Pro Preview offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Gemini 3.1 Pro Preview and $0 for Gemma 4 31B (free).

Best Fit

Choose Gemini 3.1 Pro Preview when you care most about larger context window.

Choose Gemma 4 31B (free) when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $8 for Gemini 3.1 Pro Preview, saving $8 (100% lower).
  • Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $8.
  • Gemma 4 31B (free) is free for input tokens while Gemini 3.1 Pro Preview costs $2 per 1M tokens.
  • Gemma 4 31B (free) is free for output tokens while Gemini 3.1 Pro Preview costs $12 per 1M tokens.
  • Gemini 3.1 Pro Preview has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureGemini 3.1 Pro Preview
(Google)
Gemma 4 31B (free)
(Google)
Input Price
prompt tokens per 1M
$2$0
Completion Price
per 1M tokens
$12$0
Sample Workload Cost
1M input + 500K output
$8$0
Context Window1.05M262.14K
Release Date
Popularity#28#105

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31B (free)On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $8 for Gemini 3.1 Pro Preview, saving $8 (100% lower).
High-volume input processingGemma 4 31B (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 31B (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 3.1 Pro PreviewA 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 Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Gemma 3 4B can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.08.
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
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...

Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...