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Model comparison · Updated 17 Aug 2026

Mistral Small 3.1 24B vs GPT-3.5 Turbo

Mistral Small 3.1 24B is about 1.4× cheaper on input ($0.35 against $0.50 per 1M tokens) and on output. Mistral Small 3.1 24B has the larger context window (128K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $208 a month for Mistral Small 3.1 24B and $360 for GPT-3.5 Turbo.

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ModelsAtlas. “Mistral Small 3.1 24B vs GPT-3.5 Turbo”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/mistralai/mistral-small-3-1-24b-instruct/vs/openai/gpt-3-5-turbo

Model A

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
vs

Model B

GPT-3.5 Turbo

by OpenAI · weights not marked open · GRIDD1

Input / 1M
$0.50
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$1.50
Context16K

Key numbers

Standard tier · highlighted = better

Mistral Small 3.1 24B
GPT-3.5 Turbo
Input / 1M tokens
$0.35
$0.50
Output / 1M tokens
$0.56
$1.50
Batch input / output
Not listed
$0.25 / $0.75
Context window
128,000
16,385
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
batch, 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
$208/mo
$360/mo
RAG over documents2k queries/day · 12k in, 500 out
$269/mo
$405/mo
Coding agent300 tasks/day · 60k in, 8k out
$229/mo
$378/mo

Mistral Small 3.1 24B   GPT-3.5 Turbo · 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. GPT-3.5 Turbo (D1) sits 1 context band smaller than Mistral Small 3.1 24B (D2).

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). Same square as GPT-3.5 Turbo: Gemma 2 27B ($0.65). Open D2 · Open D1

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 valueQwen2.5 72B Instruct · D2Nano Banana (Gemini 2.5 Flash Image) · D2MiniMax M2-her · D2WizardLM-2 8x22B · D2Qwen2.5 Coder 32B Instruct · D2Qwen2.5 VL 72B Instruct · D2Gemma 2 27B · D1Mistral Small 3.1 24BMistral Small 3.1 24BGPT-3.5 TurboGPT-3.5 Turbo
Mistral Small 3.1 24BGPT-3.5 TurboNearest neighboursOpen weights
View the map as a table (2 squares)
SquarePrice bandContext bandModels
GRIDD1$0.30–1<32KGPT-3.5 Turbo, Gemma 2 27B
GRIDD2$0.30–132–128KMistral Small 3.1 24B, Qwen2.5 72B Instruct, Nano Banana (Gemini 2.5 Flash Image), MiniMax M2-her, WizardLM-2 8x22B, Qwen2.5 Coder 32B Instruct, Qwen2.5 VL 72B Instruct

Capabilities side by side

Only what our records list

Mistral Small 3.1 24B
GPT-3.5 Turbo
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Supported
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 Mistral Small 3.1 24B if…

  • you pay by the token: it costs $0.35 per 1M input against $0.50
  • output dominates your bill: $0.56 per 1M output against $1.50
  • your prompts are long: it takes 128,000 tokens against 16,385

Choose GPT-3.5 Turbo if…

  • work can wait: it lists a batch tier and the other does not

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 Mistral Small 3.1 24B better than GPT-3.5 Turbo?
We do not benchmark quality, so we cannot say. On the recorded numbers: Mistral Small 3.1 24B is about 1.4× cheaper on input ($0.35 against $0.50 per 1M tokens) and on output. Mistral Small 3.1 24B has the larger context window (128K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $208 a month for Mistral Small 3.1 24B and $360 for GPT-3.5 Turbo. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Mistral Small 3.1 24B or GPT-3.5 Turbo?
Mistral Small 3.1 24B: $0.35 against $0.50 per 1M input tokens, and $0.56 against $1.50 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Mistral Small 3.1 24B: $0.35 input and $0.56 output. GPT-3.5 Turbo: $0.50 input and $1.50 output. Standard tier, USD.
Which has the larger context window?
Mistral Small 3.1 24B, with 128,000 tokens. GPT-3.5 Turbo has 16,385 tokens.
Do both offer batch pricing?
Mistral Small 3.1 24B lists no batch tier. GPT-3.5 Turbo lists a batch tier, at 50% of its standard price.
Can both read images or audio?
Input types recorded for Mistral Small 3.1 24B: none recorded. For GPT-3.5 Turbo: 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?
Mistral Small 3.1 24B: not marked open-weight in our records. GPT-3.5 Turbo: 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 $208 a month for Mistral Small 3.1 24B and $360 for GPT-3.5 Turbo. This is our calculation from the listed prices, not a quote.

About the two models

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 →

GPT-3.5 Turbo

By OpenAI. $0.50 input and $1.50 output per 1M tokens, 16K context, atlas square D1. Tiers listed: batch, standard.

Full specs & pricing →

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Opens with this page as the source. We add nothing else to the prompt.