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Model comparison · Updated 10 Oct 2026

DeepSeek V3.1 Terminus vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct is about 1.2× cheaper on input ($0.22 against $0.27 per 1M tokens) and on output. DeepSeek V3.1 Terminus 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 $212 a month for DeepSeek V3.1 Terminus and $144 for Llama 3.3 70B Instruct.

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ModelsAtlas. “DeepSeek V3.1 Terminus vs Llama 3.3 70B Instruct”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/deepseek/v3-1-terminus/vs/meta/llama-3-3-70b-instruct

Model A

DeepSeek V3.1 Terminus

by DeepSeek · weights not marked open · GRIDC3

Input / 1M
$0.27
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$1.00
Context164K
vs

Model B

Llama 3.3 70B Instruct

by Meta · weights not marked open · GRIDC3

Input / 1M
$0.22
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$0.50
Context131K

Key numbers

Standard tier · highlighted = better

DeepSeek V3.1 Terminus
Llama 3.3 70B Instruct
Input / 1M tokens
$0.27
$0.22
Output / 1M tokens
$1.00
$0.50
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
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$212/mo
$144/mo
RAG over documents2k queries/day · 12k in, 500 out
$224/mo
$173/mo
Coding agent300 tasks/day · 60k in, 8k out
$218/mo
$155/mo

DeepSeek V3.1 Terminus   Llama 3.3 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. DeepSeek V3.1 Terminus and Llama 3.3 70B Instruct share C3.

Same square as DeepSeek V3.1 Terminus: Ministral 3 3B 2512 ($0.10), Llama Guard 4 12B ($0.18), Nemotron 3.5 Content Safety ($0.20). Open C3

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 valueMiniMax M2.5 · C3DeepSeek V3.2 · C3DeepSeek V3 0324 · C3DeepSeek V3.1 · C3MiniMax M2.7 · C3Nemotron 3.5 Content Safety · C3Llama Guard 4 12B · C3DeepSeek V3.1 TerminusDeepSeek V3.1 TerminusLlama 3.3 70B InstructLlama 3.3 70B Instruct
DeepSeek V3.1 TerminusLlama 3.3 70B InstructNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDC3$0.10–0.30128–256KDeepSeek V3.1 Terminus, Llama 3.3 70B Instruct, MiniMax M2.5, DeepSeek V3.2, DeepSeek V3 0324, DeepSeek V3.1, MiniMax M2.7, Nemotron 3.5 Content Safety, Llama Guard 4 12B

Capabilities side by side

Only what our records list

DeepSeek V3.1 Terminus
Llama 3.3 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 DeepSeek V3.1 Terminus if…

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

Choose Llama 3.3 70B Instruct if…

  • you pay by the token: it costs $0.22 per 1M input against $0.27
  • output dominates your bill: $0.50 per 1M output against $1.00

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 DeepSeek V3.1 Terminus better than Llama 3.3 70B Instruct?
We do not benchmark quality, so we cannot say. On the recorded numbers: Llama 3.3 70B Instruct is about 1.2× cheaper on input ($0.22 against $0.27 per 1M tokens) and on output. DeepSeek V3.1 Terminus 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 $212 a month for DeepSeek V3.1 Terminus and $144 for Llama 3.3 70B Instruct. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, DeepSeek V3.1 Terminus or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct: $0.22 against $0.27 per 1M input tokens, and $0.50 against $1.00 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
DeepSeek V3.1 Terminus: $0.27 input and $1.00 output. Llama 3.3 70B Instruct: $0.22 input and $0.50 output. Standard tier, USD.
Which has the larger context window?
DeepSeek V3.1 Terminus, with 163,840 tokens. Llama 3.3 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 DeepSeek V3.1 Terminus: none recorded. For Llama 3.3 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?
DeepSeek V3.1 Terminus: not marked open-weight in our records. Llama 3.3 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 $212 a month for DeepSeek V3.1 Terminus and $144 for Llama 3.3 70B Instruct. This is our calculation from the listed prices, not a quote.

About the two models

DeepSeek V3.1 Terminus

By DeepSeek. $0.27 input and $1.00 output per 1M tokens, 164K context, atlas square C3. Tiers listed: standard.

Full specs & pricing →

Llama 3.3 70B Instruct

By Meta. $0.22 input and $0.50 output per 1M tokens, 131K context, atlas square C3. Tiers listed: standard.

Full specs & pricing →

Compare DeepSeek V3.1 Terminus with…

Compare Llama 3.3 70B Instruct with…

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