API cost decision in 10 seconds

🔥DeepSeek V3.2 vs Llama 3.3 70B Instruct

Pick Llama 3.3 70B Instruct 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 Llama 3.3 70B Instruct when budget is the priority.

On the standard 1M input plus 500K output workload, Llama 3.3 70B Instruct is estimated at $0.26 vs $0.44 for DeepSeek V3.2, saving $0.18 (41% lower).

Cost-first pickLlama 3.3 70B Instruct
Context-first pickBoth models
Sample savings$0.1841%
10x traffic gap$1.81

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.81. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Llama 3.3 70B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.2Llama 3.3 70B Instruct
Input-heavy / RAG5M input + 500K outputLlama 3.3 70B Instruct$1.45$0.66
Balanced workload1M input + 1M outputLlama 3.3 70B Instruct$0.63$0.42
Output-heavy chatbot1M input + 5M outputLlama 3.3 70B Instruct$2.14$1.7
Cheaper input Llama 3.3 70B Instruct $0.252 vs $0.1 / 1M

Llama 3.3 70B Instruct is $0.15 cheaper per 1M input tokens (60.3% lower; 2.52x difference).

Cheaper output Llama 3.3 70B Instruct $0.378 vs $0.32 / 1M

Llama 3.3 70B Instruct is $0.06 cheaper per 1M output tokens (15.3% lower; 1.18x difference).

Larger context Tie 131.07K vs 131.07K

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

Sample workload Llama 3.3 70B Instruct $0.44 vs $0.26

Llama 3.3 70B Instruct is $0.18 cheaper on the standard workload (41% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Llama 3.3 70B Instruct 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

Llama 3.3 70B Instruct has the lower input price; Llama 3.3 70B Instruct has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Llama 3.3 70B Instruct 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 $0.26 for Llama 3.3 70B Instruct.

Best Fit

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

Choose Llama 3.3 70B Instruct 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, Llama 3.3 70B Instruct is estimated at $0.26 vs $0.44 for DeepSeek V3.2, saving $0.18 (41% lower).
  • Llama 3.3 70B Instruct is $0.18 cheaper on the standard workload (41% lower).
  • Llama 3.3 70B Instruct is $0.15 cheaper per 1M input tokens (60.3% lower; 2.52x difference).
  • Llama 3.3 70B Instruct is $0.06 cheaper per 1M output tokens (15.3% lower; 1.18x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
Llama 3.3 70B Instruct
(Meta)
Input Price
prompt tokens per 1M
$0.252$0.1
Completion Price
per 1M tokens
$0.378$0.32
Sample Workload Cost
1M input + 500K output
$0.44$0.26
Context Window131.07K131.07K
Release Date
Popularity#8#88

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLlama 3.3 70B InstructOn the standard 1M input plus 500K output workload, Llama 3.3 70B Instruct is estimated at $0.26 vs $0.44 for DeepSeek V3.2, saving $0.18 (41% lower).
High-volume input processingLlama 3.3 70B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLlama 3.3 70B InstructLower 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.

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Meta catalog

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