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Model comparison · Updated 17 Aug 2026

R1 0528 vs Llama 3.1 70B Instruct

Llama 3.1 70B Instruct is about 1.7× cheaper on input ($0.40 against $0.70 per 1M tokens) and on output. R1 0528 has the larger context window (164K against 131K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $540 a month for R1 0528 and $216 for Llama 3.1 70B Instruct.

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ModelsAtlas. “R1 0528 vs Llama 3.1 70B Instruct”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/deepseek/r1/vs/meta/llama-3-1-70b-instruct

Model A

R1 0528

by DeepSeek · weights not marked open · GRIDD3

Input / 1M
$0.70
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$2.50
Context164K
vs

Model B

Llama 3.1 70B Instruct

by Meta · weights not marked open · GRIDD3

Input / 1M
$0.40
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.40
Context131K

Key numbers

Standard tier · highlighted = better

R1 0528
Llama 3.1 70B Instruct
Input / 1M tokens
$0.70
$0.40
Output / 1M tokens
$2.50
$0.40
Batch input / output
Not listed
Not listed
Context window
163,840
131,072
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-08-17
2026-08-17

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$540/mo
$216/mo
RAG over documents2k queries/day · 12k in, 500 out
$579/mo
$300/mo
Coding agent300 tasks/day · 60k in, 8k out
$558/mo
$245/mo

R1 0528   Llama 3.1 70B Instruct · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.

On the atlas

Price band (A–H) × context band (1–6)

Same square. R1 0528 and Llama 3.1 70B Instruct share D3.

Same square as R1 0528: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2 ($0.30). Open D3

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueNano Banana 2 (Gemini 3.1 Flash Image) · D3Mistral Medium 3 · D3Mistral Medium 3.1 · D3DeepSeek V3 · D3Command A+ · D3Muse Glimmer 30B · D3R1 0528R1 0528Llama 3.1 70B InstructLlama 3.1 70B Instruct
R1 0528Llama 3.1 70B InstructNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDD3$0.30–1128–256KR1 0528, Llama 3.1 70B Instruct, Nano Banana 2 (Gemini 3.1 Flash Image), Mistral Medium 3, Mistral Medium 3.1, DeepSeek V3, Command A+, Muse Glimmer 30B

Capabilities side by side

Only what our records list

R1 0528
Llama 3.1 70B Instruct
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose R1 0528 if…

  • your prompts are long: it takes 163,840 tokens against 131,072

Choose Llama 3.1 70B Instruct if…

  • you pay by the token: it costs $0.40 per 1M input against $0.70
  • output dominates your bill: $0.40 per 1M output against $2.50

Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.

Questions

Is R1 0528 better than Llama 3.1 70B Instruct?
We do not benchmark quality, so we cannot say. On the recorded numbers: Llama 3.1 70B Instruct is about 1.7× cheaper on input ($0.40 against $0.70 per 1M tokens) and on output. R1 0528 has the larger context window (164K against 131K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $540 a month for R1 0528 and $216 for Llama 3.1 70B Instruct. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, R1 0528 or Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct: $0.40 against $0.70 per 1M input tokens, and $0.40 against $2.50 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
R1 0528: $0.70 input and $2.50 output. Llama 3.1 70B Instruct: $0.40 input and $0.40 output. Standard tier, USD.
Which has the larger context window?
R1 0528, with 163,840 tokens. Llama 3.1 70B Instruct has 131,072 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for R1 0528: none recorded. For Llama 3.1 70B Instruct: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
R1 0528: not marked open-weight in our records. Llama 3.1 70B Instruct: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $540 a month for R1 0528 and $216 for Llama 3.1 70B Instruct. This is our calculation from the listed prices, not a quote.

About the two models

R1 0528

By DeepSeek. $0.70 input and $2.50 output per 1M tokens, 164K context, atlas square D3. Tiers listed: standard.

Full specs & pricing →

Llama 3.1 70B Instruct

By Meta. $0.40 input and $0.40 output per 1M tokens, 131K context, atlas square D3. Tiers listed: standard.

Full specs & pricing →

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