Mistral Small 3.2 24B vs Qwen2.5 7B Instruct

Mistral Small 3.2 24B at $0.108 in and $0.287 out and Qwen2.5 7B Instruct at $0.115 in and $0.230 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 →

Qwen2.5 7B Instruct

Qwen

0.08¢

for a client proposal

$0.115 in · $0.230 out / 1M

33K context · released October 2024

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: Mistral Small 3.2 24B at $0.108 per million tokens.
Cheapest output: Qwen2.5 7B Instruct at $0.230 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¢

Qwen2.5 7B Instruct

0.03¢

Draft a client proposal from notes

5K in · 800 out

Mistral Small 3.2 24B

0.08¢

Qwen2.5 7B Instruct

0.08¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Mistral Small 3.2 24B

1.8¢

Qwen2.5 7B Instruct

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

Mistral Small 3.2 24B

0.41¢

Qwen2.5 7B Instruct

needs 35K ctx

Large architecture refactor

250K in · 3K out

Mistral Small 3.2 24B

2.8¢

Qwen2.5 7B Instruct

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

Qwen2.5 7B Instruct

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

Pricing

Mistral Small 3.2 24B

Qwen2.5 7B Instruct

Input / 1M tokens

$0.108

$0.115

Output / 1M tokens

$0.287

$0.230

Specs

Mistral Small 3.2 24B

Qwen2.5 7B Instruct

Provider

Mistral AI

Qwen

Released

June 2025

October 2024

Context window

256K

33K

Max output

16K

33K

Input

Images and Text

Text

Output

Text

Reasoning

Answers directly

Knowledge cutoff

2023-10-31

2024-06-30

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 →

Qwen2.5 7B Instruct

Qwen

0.03¢

for this task

67% input · 33% 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, Qwen2.5 7B Instruct is the cheapest of the two on a typical task, at about 0.08¢.

For images or files, Mistral Small 3.2 24B can read them directly; Qwen2.5 7B Instruct is text-only.

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 →Qwen2.5 7B Instruct pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Mistral Small 3.2 24B or Qwen2.5 7B Instruct?

On a typical client proposal (5K tokens in, 800 out): Qwen2.5 7B Instruct at 0.08¢; 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 Qwen2.5 7B Instruct 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.