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Model comparison · Updated 10 Oct 2026

Mistral Small 3.2 24B vs Qwen3 32B

Qwen3 32B is about 1.2× cheaper on input ($0.08 against $0.09 per 1M tokens), though Mistral Small 3.2 24B is cheaper on output. Mistral Small 3.2 24B has the larger context window (256K against 131K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $64.71 a month for Mistral Small 3.2 24B and $61.20 for Qwen3 32B.

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ModelsAtlas. “Mistral Small 3.2 24B vs Qwen3 32B”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/mistralai/mistral-small-3-2-24b-instruct/vs/qwen/3-32b

Model A

Mistral Small 3.2 24B

by Mistral AI · weights not marked open · GRIDB3

Input / 1M
$0.09
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$0.25
Context256K
vs

Model B

Qwen3 32B

by Qwen (Alibaba) · weights not marked open · GRIDB3

Input / 1M
$0.08
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.28
Context131K

Key numbers

Standard tier · highlighted = better

Mistral Small 3.2 24B
Qwen3 32B
Input / 1M tokens
$0.09
$0.08
Output / 1M tokens
$0.25
$0.28
Batch input / output
Not listed
Not listed
Context window
256,000
131,072
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-10-10
2026-08-17

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$64.71/mo
$61.20/mo
RAG over documents2k queries/day · 12k in, 500 out
$75.04/mo
$66.00/mo
Coding agent300 tasks/day · 60k in, 8k out
$68.65/mo
$63.36/mo

Mistral Small 3.2 24B   Qwen3 32B · 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. Mistral Small 3.2 24B and Qwen3 32B share B3.

Same square as Mistral Small 3.2 24B: gpt-oss-20b ($0.02), Mistral Nemo ($0.03), gpt-oss-120b ($0.03). Open B3

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 valueGemma 3 27B · B3gpt-oss-safeguard-20b · B3Gemma 3 12B · B3Gemma 3 4B · B3Llama 3.1 8B Instruct · B3Mistral Small 3.2 24BMistral Small 3.2 24BQwen3 32BQwen3 32B
Mistral Small 3.2 24BQwen3 32BNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDB3<$0.10128–256KMistral Small 3.2 24B, Qwen3 32B, Gemma 3 27B, gpt-oss-safeguard-20b, Gemma 3 12B, Gemma 3 4B, Llama 3.1 8B Instruct

Capabilities side by side

Only what our records list

Mistral Small 3.2 24B
Qwen3 32B
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 Mistral Small 3.2 24B if…

  • output dominates your bill: $0.25 per 1M output against $0.28
  • your prompts are long: it takes 256,000 tokens against 131,072

Choose Qwen3 32B if…

  • you pay by the token: it costs $0.08 per 1M input against $0.09

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 3.2 24B better than Qwen3 32B?
We do not benchmark quality, so we cannot say. On the recorded numbers: Qwen3 32B is about 1.2× cheaper on input ($0.08 against $0.09 per 1M tokens), though Mistral Small 3.2 24B is cheaper on output. Mistral Small 3.2 24B has the larger context window (256K against 131K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $64.71 a month for Mistral Small 3.2 24B and $61.20 for Qwen3 32B. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Mistral Small 3.2 24B or Qwen3 32B?
Qwen3 32B: $0.08 against $0.09 per 1M input tokens, and $0.28 against $0.25 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Mistral Small 3.2 24B: $0.09 input and $0.25 output. Qwen3 32B: $0.08 input and $0.28 output. Standard tier, USD.
Which has the larger context window?
Mistral Small 3.2 24B, with 256,000 tokens. Qwen3 32B 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 Mistral Small 3.2 24B: none recorded. For Qwen3 32B: 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 3.2 24B: not marked open-weight in our records. Qwen3 32B: 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 $64.71 a month for Mistral Small 3.2 24B and $61.20 for Qwen3 32B. This is our calculation from the listed prices, not a quote.

About the two models

Mistral Small 3.2 24B

By Mistral AI. $0.09 input and $0.25 output per 1M tokens, 256K context, atlas square B3. Tiers listed: standard.

Full specs & pricing →

Qwen3 32B

By Qwen (Alibaba). $0.08 input and $0.28 output per 1M tokens, 131K context, atlas square B3. Tiers listed: standard.

Full specs & pricing →

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