Mistral Small 3.2 24B vs Qwen3 32B

Mistral Small 3.2 24B at $0.108 in and $0.287 out and Qwen3 32B at $0.092 in and $0.322 out — per million tokens, from the same wallet.

Mistral Small 3.2 24B

Mistral AI

0.08¢

for a client proposal

$0.108 in · $0.287 out / 1M

256K context · released June 2025

Full page →

Qwen3 32B

Qwen

0.07¢

for a client proposal

$0.092 in · $0.322 out / 1M

41K context · released April 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.15¢ for a typical client proposal.

At a glance

Cheapest input: Qwen3 32B at $0.092 per million tokens.
Cheapest output: Mistral Small 3.2 24B at $0.287 per million tokens.
Largest context: Mistral Small 3.2 24B at 256K tokens — about 370 pages.

Cost per task

Estimated totals at the rates above. Solid bar is input, lighter bar is output.

Quick code fix

2K in · 500 out

Mistral Small 3.2 24B

0.04¢

Qwen3 32B

0.03¢

Draft a client proposal from notes

5K in · 800 out

Mistral Small 3.2 24B

0.08¢

Qwen3 32B

0.07¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Mistral Small 3.2 24B

1.8¢

Qwen3 32B

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

Mistral Small 3.2 24B

0.41¢

Qwen3 32B

0.35¢

Large architecture refactor

250K in · 3K out

Mistral Small 3.2 24B

2.8¢

Qwen3 32B

needs 250K ctx

Solid part of each bar is input tokens, the lighter part is output. Models that don’t fit a task are marked instead of priced.

Cost vs Token Amount

Drag the slider to adjust the split between input and output workload.

80% Input20% Output

Mistral Small 3.2 24B

Qwen3 32B

Adjust the ratio slider to change how output tokens influence the final price for equivalent workloads.

Pricing

Mistral Small 3.2 24B

Qwen3 32B

Input / 1M tokens

$0.108

$0.092

Output / 1M tokens

$0.287

$0.322

Specs

Mistral Small 3.2 24B

Qwen3 32B

Provider

Mistral AI

Qwen

Released

June 2025

April 2025

Context window

256K

41K

Max output

16K

Input

Images and Text

Text

Output

Text

Reasoning

Answers directly

Shows its thinking

Knowledge cutoff

2023-10-31

2025-03-31

Try it with real numbers

2K tokens in · 500 tokens out.

Mistral Small 3.2 24B

Mistral AI

0.04¢

for this task

60% input · 40% output

Full pricing →

Qwen3 32B

Qwen

0.03¢

for this task

53% input · 47% output

Full pricing →

All 2, same prompt and context: 0.07¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 7,092 of these.

Which should you pick?

For long documents, Mistral Small 3.2 24B has the largest context window here — 256K tokens.

On price, Qwen3 32B is the cheapest of the two on a typical task, at about 0.07¢.

For images or files, Mistral Small 3.2 24B can read them directly; Qwen3 32B is text-only.

If you want to watch the model think, Qwen3 32B shows reasoning; the other answers directly.

Or don’t pick. Send the identical prompt to all both, read the answers side by side, and keep the winner. How to run a fair bake-off →

Mistral Small 3.2 24B pricing →Qwen3 32B pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Mistral Small 3.2 24B or Qwen3 32B?

On a typical client proposal (5K tokens in, 800 out): Qwen3 32B at 0.07¢; Mistral Small 3.2 24B at 0.08¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Mistral Small 3.2 24B — 256K tokens, about 370 pages.

Can I run Mistral Small 3.2 24B and Qwen3 32B side by side on Alyph?

Yes — that is what Alyph is built for: the identical prompt with identical context to all 2, answers rendered side by side, billed from one wallet. This exact combination costs about 0.15¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.15¢ for a typical client proposal. Free to start, with $5 of credit.