Mistral Large 3 2512 vs Qwen3 235B A22B

Mistral Large 3 2512 at $0.575 in and $1.73 out and Qwen3 235B A22B at $0.523 in and $2.09 out — per million tokens, from the same wallet.

Mistral Large 3 2512

Mistral AI

0.43¢

for a client proposal

$0.575 in · $1.73 out / 1M

262K context · released December 2025

Full page →

Qwen3 235B A22B

Qwen

0.43¢

for a client proposal

$0.523 in · $2.09 out / 1M

131K context · released April 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.85¢ for a typical client proposal.

At a glance

Cheapest input: Qwen3 235B A22B at $0.523 per million tokens.
Cheapest output: Mistral Large 3 2512 at $1.73 per million tokens.
Largest context: Mistral Large 3 2512 at 262K 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 Large 3 2512

0.2¢

Qwen3 235B A22B

0.21¢

Draft a client proposal from notes

5K in · 800 out

Mistral Large 3 2512

0.43¢

Qwen3 235B A22B

0.43¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Mistral Large 3 2512

$0.10

Qwen3 235B A22B

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

Mistral Large 3 2512

2.2¢

Qwen3 235B A22B

2¢

Large architecture refactor

250K in · 3K out

Mistral Large 3 2512

$0.15

Qwen3 235B A22B

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 Large 3 2512

Qwen3 235B A22B

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

Pricing

Mistral Large 3 2512

Qwen3 235B A22B

Input / 1M tokens

$0.575

$0.523

Output / 1M tokens

$1.73

$2.09

Cached input / 1M

$0.058

—

Specs

Mistral Large 3 2512

Qwen3 235B A22B

Provider

Mistral AI

Qwen

Released

December 2025

April 2025

Context window

262K

131K

Max output

—

Input

Text, Images, and Files

Text

Output

Text

Reasoning

Answers directly

Shows its thinking

Knowledge cutoff

—

2025-03-31

Try it with real numbers

2K tokens in · 500 tokens out.

Mistral Large 3 2512

Mistral AI

0.2¢

for this task

57% input · 43% output

Full pricing →

Qwen3 235B A22B

Qwen

0.21¢

for this task

50% input · 50% output

Full pricing →

All 2, same prompt and context: 0.41¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 1,217 of these.

Which should you pick?

For long documents, Mistral Large 3 2512 has the largest context window here — 262K tokens.

On price, Mistral Large 3 2512 is the cheapest of the two on a typical task, at about 0.43¢.

For images or files, Mistral Large 3 2512 can read them directly; Qwen3 235B A22B is text-only.

If you want to watch the model think, Qwen3 235B A22B 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 Large 3 2512 pricing →Qwen3 235B A22B pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Mistral Large 3 2512 or Qwen3 235B A22B?

On a typical client proposal (5K tokens in, 800 out): Mistral Large 3 2512 at 0.43¢; Qwen3 235B A22B at 0.43¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Mistral Large 3 2512 — 262K tokens, about 370 pages.

Can I run Mistral Large 3 2512 and Qwen3 235B A22B 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 0.85¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.85¢ for a typical client proposal. Free to start, with $5 of credit.