API cost decision in 10 seconds

Step 3.5 Flash vs Llama Guard 4 12B

Pick Step 3.5 Flash 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 Step 3.5 Flash when budget and context both matter.

On the standard 1M input plus 500K output workload, Step 3.5 Flash is estimated at $0.24 vs $0.27 for Llama Guard 4 12B, saving $0.03 (11.1% lower).

Cost-first pickStep 3.5 Flash
Context-first pickStep 3.5 Flash
Sample savings$0.0311.1%
10x traffic gap$0.3

Step 3.5 Flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Step 3.5 Flash, balanced workload favors Llama Guard 4 12B, and output-heavy chatbot favors Llama Guard 4 12B.

Workload shapeToken mixBetter pickStep 3.5 FlashLlama Guard 4 12B
Input-heavy / RAG5M input + 500K outputStep 3.5 Flash$0.6$0.99
Balanced workload1M input + 1M outputLlama Guard 4 12B$0.39$0.36
Output-heavy chatbot1M input + 5M outputLlama Guard 4 12B$1.59$1.08
Cheaper input Step 3.5 Flash $0.09 vs $0.18 / 1M

Step 3.5 Flash is $0.09 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Llama Guard 4 12B $0.3 vs $0.18 / 1M

Llama Guard 4 12B is $0.12 cheaper per 1M output tokens (40% lower; 1.67x difference).

Larger context Step 3.5 Flash 262.14K vs 163.84K

Step 3.5 Flash has 98.3K more context (1.6x larger).

Sample workload Step 3.5 Flash $0.24 vs $0.27

Step 3.5 Flash is $0.03 cheaper on the standard workload (11.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Step 3.5 Flash Calculating… Estimated API cost
Llama Guard 4 12B 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

Step 3.5 Flash has the lower input price; Llama Guard 4 12B has the lower output price; Step 3.5 Flash offers the larger context window. For the 1M input plus 500K output sample, Step 3.5 Flash is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.24 for Step 3.5 Flash and $0.27 for Llama Guard 4 12B.

Best Fit

Choose Step 3.5 Flash when you care most about lower input-token price, and larger context window.

Choose Llama Guard 4 12B when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Step 3.5 Flash is estimated at $0.24 vs $0.27 for Llama Guard 4 12B, saving $0.03 (11.1% lower).
  • Step 3.5 Flash is $0.03 cheaper on the standard workload (11.1% lower).
  • Step 3.5 Flash is $0.09 cheaper per 1M input tokens (50% lower; 2x difference).
  • Llama Guard 4 12B is $0.12 cheaper per 1M output tokens (40% lower; 1.67x difference).
  • Step 3.5 Flash has 98.3K more context (1.6x larger).
Head-to-Head Specs
FeatureStep 3.5 Flash
(StepFun)
Llama Guard 4 12B
(Meta)
Input Price
prompt tokens per 1M
$0.09$0.18
Completion Price
per 1M tokens
$0.3$0.18
Sample Workload Cost
1M input + 500K output
$0.24$0.27
Context Window262.14K163.84K
Release Date
Popularity#91#146

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionStep 3.5 FlashOn the standard 1M input plus 500K output workload, Step 3.5 Flash is estimated at $0.24 vs $0.27 for Llama Guard 4 12B, saving $0.03 (11.1% lower).
High-volume input processingStep 3.5 FlashLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLlama Guard 4 12BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workStep 3.5 FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

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

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StepFun catalog

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

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Meta catalog

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

Open Meta models
Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....

Llama Guard 4 12B

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...