API cost decision in 10 seconds

Qwen3 Coder 30B A3B Instruct vs Llama Guard 4 12B

Pick Qwen3 Coder 30B A3B Instruct for lower cost; pick Llama Guard 4 12B 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 Qwen3 Coder 30B A3B Instruct for lower cost; pick Llama Guard 4 12B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 Coder 30B A3B Instruct is estimated at $0.21 vs $0.27 for Llama Guard 4 12B, saving $0.07 (24.1% lower).

Cost-first pickQwen3 Coder 30B A3B Instruct
Context-first pickLlama Guard 4 12B
Sample savings$0.0724.1%
10x traffic gap$0.65

Llama Guard 4 12B has more context, but Qwen3 Coder 30B A3B Instruct saves $0.07 on the standard workload. At 10x that traffic, the same price gap is about $0.65. 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 Qwen3 Coder 30B A3B Instruct, balanced workload favors Qwen3 Coder 30B A3B Instruct, and output-heavy chatbot favors Llama Guard 4 12B.

Workload shapeToken mixBetter pickQwen3 Coder 30B A3B InstructLlama Guard 4 12B
Input-heavy / RAG5M input + 500K outputQwen3 Coder 30B A3B Instruct$0.49$0.99
Balanced workload1M input + 1M outputQwen3 Coder 30B A3B Instruct$0.34$0.36
Output-heavy chatbot1M input + 5M outputLlama Guard 4 12B$1.42$1.08
Cheaper input Qwen3 Coder 30B A3B Instruct $0.07 vs $0.18 / 1M

Qwen3 Coder 30B A3B Instruct is $0.11 cheaper per 1M input tokens (61.1% lower; 2.57x difference).

Cheaper output Llama Guard 4 12B $0.27 vs $0.18 / 1M

Llama Guard 4 12B is $0.09 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Llama Guard 4 12B 160K vs 163.84K

Llama Guard 4 12B has 3.84K more context (1.02x larger).

Sample workload Qwen3 Coder 30B A3B Instruct $0.21 vs $0.27

Qwen3 Coder 30B A3B Instruct is $0.07 cheaper on the standard workload (24.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 Coder 30B A3B Instruct 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

Qwen3 Coder 30B A3B Instruct has the lower input price; Llama Guard 4 12B has the lower output price; Llama Guard 4 12B offers the larger context window. For the 1M input plus 500K output sample, Qwen3 Coder 30B A3B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.21 for Qwen3 Coder 30B A3B Instruct and $0.27 for Llama Guard 4 12B.

Best Fit

Choose Qwen3 Coder 30B A3B Instruct when you care most about lower input-token price.

Choose Llama Guard 4 12B when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 Coder 30B A3B Instruct is estimated at $0.21 vs $0.27 for Llama Guard 4 12B, saving $0.07 (24.1% lower).
  • Qwen3 Coder 30B A3B Instruct is $0.07 cheaper on the standard workload (24.1% lower).
  • Qwen3 Coder 30B A3B Instruct is $0.11 cheaper per 1M input tokens (61.1% lower; 2.57x difference).
  • Llama Guard 4 12B is $0.09 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Llama Guard 4 12B has 3.84K more context (1.02x larger).
Head-to-Head Specs
FeatureQwen3 Coder 30B A3B Instruct
(Qwen)		Llama Guard 4 12B
(Meta)
Input Price
prompt tokens per 1M		$0.07$0.18
Completion Price
per 1M tokens		$0.27$0.18
Sample Workload Cost
1M input + 500K output		$0.21$0.27
Context Window160K163.84K
Release Date
Popularity#129#146

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 Coder 30B A3B InstructOn the standard 1M input plus 500K output workload, Qwen3 Coder 30B A3B Instruct is estimated at $0.21 vs $0.27 for Llama Guard 4 12B, saving $0.07 (24.1% lower).
High-volume input processingQwen3 Coder 30B A3B InstructLower 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 workLlama Guard 4 12BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Coder 30B A3B Instruct when lower sample workload cost matters most: $0.
  • Qwen3 Coder 480B A35B (free) can replace Qwen3 Coder 30B A3B Instruct when lower sample workload cost matters most: $0.
  • Qwen2.5 7B Instruct can replace Qwen3 Coder 30B A3B Instruct when lower sample workload cost matters most: $0.09.
  • Qwen3.5-9B can replace Qwen3 Coder 30B A3B Instruct when lower sample workload cost matters most: $0.11.
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.

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

Qwen catalog

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

Open Qwen models

Meta catalog

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

Open Meta models
Qwen3 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...

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...