API cost decision in 10 seconds

🔥DeepSeek V3.2 vs NewGranite 4.1 8B

Pick Granite 4.1 8B when budget is the priority.

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

Budget verdict

Pick Granite 4.1 8B when budget is the priority.

On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.44 for DeepSeek V3.2, saving $0.34 (77.3% lower).

Cost-first pickGranite 4.1 8B
Context-first pickBoth models
Sample savings$0.3477.3%
10x traffic gap$3.41

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $3.41. 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 pickDeepSeek V3.2Granite 4.1 8B
Input-heavy / RAG5M input + 500K outputGranite 4.1 8B$1.45$0.3
Balanced workload1M input + 1M outputGranite 4.1 8B$0.63$0.15
Output-heavy chatbot1M input + 5M outputGranite 4.1 8B$2.14$0.55
Cheaper input Granite 4.1 8B $0.252 vs $0.05 / 1M

Granite 4.1 8B is $0.2 cheaper per 1M input tokens (80.2% lower; 5.04x difference).

Cheaper output Granite 4.1 8B $0.378 vs $0.1 / 1M

Granite 4.1 8B is $0.28 cheaper per 1M output tokens (73.5% lower; 3.78x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Granite 4.1 8B $0.44 vs $0.1

Granite 4.1 8B is $0.34 cheaper on the standard workload (77.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Granite 4.1 8B 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; both models report the same 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 $0.44 for DeepSeek V3.2 and $0.1 for Granite 4.1 8B.

Best Fit

Choose DeepSeek V3.2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Granite 4.1 8B 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, Granite 4.1 8B is estimated at $0.1 vs $0.44 for DeepSeek V3.2, saving $0.34 (77.3% lower).
  • Granite 4.1 8B is $0.34 cheaper on the standard workload (77.3% lower).
  • Granite 4.1 8B is $0.2 cheaper per 1M input tokens (80.2% lower; 5.04x difference).
  • Granite 4.1 8B is $0.28 cheaper per 1M output tokens (73.5% lower; 3.78x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
NewGranite 4.1 8B
(IBM)
Input Price
prompt tokens per 1M
$0.252$0.05
Completion Price
per 1M tokens
$0.378$0.1
Sample Workload Cost
1M input + 500K output
$0.44$0.1
Context Window131.07K131.07K
Release Date
Popularity#8

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 $0.44 for DeepSeek V3.2, saving $0.34 (77.3% 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 workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • DeepSeek V4 Flash (free) can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.
  • DeepSeek V4 Flash can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.2.
  • R1 Distill Qwen 32B can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.43.
  • Granite 4.0 Micro can replace Granite 4.1 8B when lower sample workload cost matters most: $0.07.
Larger context near this budget

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.

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Provider catalogs

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DeepSeek catalog

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

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IBM catalog

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

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DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

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...