API cost decision in 10 seconds

NewGranite 4.1 8B vs Gemma 4 31B

Pick Granite 4.1 8B for lower cost; pick Gemma 4 31B only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Granite 4.1 8B for lower cost; pick Gemma 4 31B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.3 for Gemma 4 31B, saving $0.2 (67.2% lower).

Cost-first pickGranite 4.1 8B
Context-first pickGemma 4 31B
Sample savings$0.267.2%
10x traffic gap$2.05

Gemma 4 31B has more context, but Granite 4.1 8B saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $2.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Granite 4.1 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGranite 4.1 8BGemma 4 31B
Input-heavy / RAG5M input + 500K outputGranite 4.1 8B$0.3$0.78
Balanced workload1M input + 1M outputGranite 4.1 8B$0.15$0.49
Output-heavy chatbot1M input + 5M outputGranite 4.1 8B$0.55$1.97
Cheaper input Granite 4.1 8B $0.05 vs $0.12 / 1M

Granite 4.1 8B is $0.07 cheaper per 1M input tokens (58.3% lower; 2.4x difference).

Cheaper output Granite 4.1 8B $0.1 vs $0.37 / 1M

Granite 4.1 8B is $0.27 cheaper per 1M output tokens (73% lower; 3.7x difference).

Larger context Gemma 4 31B 131.07K vs 262.14K

Gemma 4 31B has 131.07K more context (2x larger).

Sample workload Granite 4.1 8B $0.1 vs $0.3

Granite 4.1 8B is $0.2 cheaper on the standard workload (67.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Granite 4.1 8B Calculating… Estimated API cost
Gemma 4 31B 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

Granite 4.1 8B has the lower input price; Granite 4.1 8B has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, Granite 4.1 8B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for Granite 4.1 8B and $0.3 for Gemma 4 31B.

Best Fit

Choose Granite 4.1 8B when you care most about lower input-token price, and lower output-token price.

Choose Gemma 4 31B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.3 for Gemma 4 31B, saving $0.2 (67.2% lower).
  • Granite 4.1 8B is $0.2 cheaper on the standard workload (67.2% lower).
  • Granite 4.1 8B is $0.07 cheaper per 1M input tokens (58.3% lower; 2.4x difference).
  • Granite 4.1 8B is $0.27 cheaper per 1M output tokens (73% lower; 3.7x difference).
  • Gemma 4 31B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureNewGranite 4.1 8B
(IBM)
Gemma 4 31B
(Google)
Input Price
prompt tokens per 1M
$0.05$0.12
Completion Price
per 1M tokens
$0.1$0.37
Sample Workload Cost
1M input + 500K output
$0.1$0.3
Context Window131.07K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGranite 4.1 8BOn the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.3 for Gemma 4 31B, saving $0.2 (67.2% lower).
High-volume input processingGranite 4.1 8BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGranite 4.1 8BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 4 31BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Popular competitors
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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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IBM catalog

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Google catalog

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Granite 4.1 8B

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

Gemma 4 31B

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...