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Model comparison · Updated 17 Aug 2026

Llama 3.1 70B Instruct vs Mistral Small 3.1 24B

Mistral Small 3.1 24B is about 1.1× cheaper on input ($0.35 against $0.40 per 1M tokens), though Llama 3.1 70B Instruct is cheaper on output. Llama 3.1 70B Instruct has the larger context window (131K against 128K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $216 a month for Llama 3.1 70B Instruct and $208 for Mistral Small 3.1 24B.

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ModelsAtlas. “Llama 3.1 70B Instruct vs Mistral Small 3.1 24B”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/meta/llama-3-1-70b-instruct/vs/mistralai/mistral-small-3-1-24b-instruct

Model A

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
vs

Model B

Mistral Small 3.1 24B

by Mistral AI · weights not marked open · GRIDD2

Input / 1M
$0.35
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.56
Context128K

Key numbers

Standard tier · highlighted = better

Llama 3.1 70B Instruct
Mistral Small 3.1 24B
Input / 1M tokens
$0.40
$0.35
Output / 1M tokens
$0.40
$0.56
Batch input / output
Not listed
Not listed
Context window
131,072
128,000
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
$216/mo
$208/mo
RAG over documents2k queries/day · 12k in, 500 out
$300/mo
$269/mo
Coding agent300 tasks/day · 60k in, 8k out
$245/mo
$229/mo

Llama 3.1 70B Instruct   Mistral Small 3.1 24B · 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)

1 square apart. Mistral Small 3.1 24B (D2) sits 1 context band smaller than Llama 3.1 70B Instruct (D3).

Same square as Llama 3.1 70B Instruct: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2.1 ($0.30). Same square as Mistral Small 3.1 24B: MiniMax M2-her ($0.30), Nano Banana (Gemini 2.5 Flash Image) ($0.30), Qwen2.5 72B Instruct ($0.36). Open D3 · Open D2

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 valueMistral Medium 3 · D3Mistral Medium 3.1 · D3R1 0528 · D3Nano Banana 2 (Gemini 3.1 Flash Image) · D3Command A+ · D3Muse Glimmer 30B · D3Qwen2.5 72B Instruct · D2Nano Banana (Gemini 2.5 Flash Image) · D2MiniMax M2-her · D2Qwen2.5 Coder 32B Instruct · D2Qwen2.5 VL 72B Instruct · D2Llama 3.1 70B InstructLlama 3.1 70B InstructMistral Small 3.1 24BMistral Small 3.1 24B
Llama 3.1 70B InstructMistral Small 3.1 24BNearest neighboursOpen weights
View the map as a table (2 squares)

Capabilities side by side

Only what our records list

Llama 3.1 70B Instruct
Mistral Small 3.1 24B
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 Llama 3.1 70B Instruct if…

  • output dominates your bill: $0.40 per 1M output against $0.56
  • your prompts are long: it takes 131,072 tokens against 128,000

Choose Mistral Small 3.1 24B if…

  • you pay by the token: it costs $0.35 per 1M input against $0.40

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 Llama 3.1 70B Instruct better than Mistral Small 3.1 24B?
We do not benchmark quality, so we cannot say. On the recorded numbers: Mistral Small 3.1 24B is about 1.1× cheaper on input ($0.35 against $0.40 per 1M tokens), though Llama 3.1 70B Instruct is cheaper on output. Llama 3.1 70B Instruct has the larger context window (131K against 128K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $216 a month for Llama 3.1 70B Instruct and $208 for Mistral Small 3.1 24B. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Llama 3.1 70B Instruct or Mistral Small 3.1 24B?
Mistral Small 3.1 24B: $0.35 against $0.40 per 1M input tokens, and $0.56 against $0.40 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Llama 3.1 70B Instruct: $0.40 input and $0.40 output. Mistral Small 3.1 24B: $0.35 input and $0.56 output. Standard tier, USD.
Which has the larger context window?
Llama 3.1 70B Instruct, with 131,072 tokens. Mistral Small 3.1 24B has 128,000 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Llama 3.1 70B Instruct: none recorded. For Mistral Small 3.1 24B: 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?
Llama 3.1 70B Instruct: not marked open-weight in our records. Mistral Small 3.1 24B: 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 $216 a month for Llama 3.1 70B Instruct and $208 for Mistral Small 3.1 24B. This is our calculation from the listed prices, not a quote.

About the two models

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 →

Mistral Small 3.1 24B

By Mistral AI. $0.35 input and $0.56 output per 1M tokens, 128K context, atlas square D2. Tiers listed: standard.

Full specs & pricing →

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