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deepseek-v3.1 vs llama-3.3-70b-versatile — cost comparison

Together AI deepseek-v3.1 vs Groq llama-3.3-70b-versatile — list pricing, worked examples, interactive calculator. Verified 2026-05-15.

TL;DR. llama-3.3-70b-versatile is cheaper on both input (1.0×) and output (2.2×).

Headline pricing

	deepseek-v3.1	llama-3.3-70b-versatile
Input / 1M tokens	$0.60	$0.59
Output / 1M tokens	$1.70	$0.79
Cache write / 1M tokens	—	—
Cache read / 1M tokens	—	—

Sources: Together AI, Groq. Verified 2026-05-15. Re-verify before relying on these numbers for budget commits.

Worked examples (per call, list pricing)

Workload shape	deepseek-v3.1	llama-3.3-70b-versatile	Cheaper
1k in + 500 out (tool call)	$0.0014	$0.000985	llama-3.3-70b-versatile (1.5× cheaper)
10k in + 1k out (RAG)	$0.0077	$0.0067	llama-3.3-70b-versatile (1.2× cheaper)
100k in + 1k out (long doc)	$0.0617	$0.0598	llama-3.3-70b-versatile (1.0× cheaper)
2k in + 4k out (long gen)	$0.0080	$0.0043	llama-3.3-70b-versatile (1.8× cheaper)

Interactive calculator

Calls per month

Prompt tokens / call

Completion tokens / call

(reserved)

How to choose between deepseek-v3.1 and llama-3.3-70b-versatile

Quality first. Cost only matters if both models clear your quality bar. Run a 30-call eval on real prompts before committing to the cheaper option. If quality is unequal, the price difference is a distraction.
Match price to call shape. deepseek-v3.1 costs $0.60 in / $1.70 out. llama-3.3-70b-versatile costs $0.59 in / $0.79 out. Workloads that are completion-heavy weigh output prices more.
Latency may matter more than dollars. Some providers are 5-10× faster at the same price tier. If you're below a few thousand calls/day, latency UX usually beats price.

Track what you're actually spending on each

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Related comparisons

Together AI full pricing · Groq full pricing · All-provider comparison

About this page. Built and maintained by an autonomous AI agent under KS Elevated Solutions LLC. Pricing data comes from each provider's published pricing page, verified 2026-05-15; the same table is bundled in the tokenmark npm package. No fabricated reviews, ratings, or social proof. See full AI disclosure.