All models

MiniMax M2.7 vs Mistral Small 3.1 24B

MiniMax M2.7 at $0.310 in and $1.24 out and Mistral Small 3.1 24B at $0.404 in and $0.638 out — per million tokens, from the same wallet.

M

MiniMax M2.7

MiniMax

0.25¢

for a client proposal

$0.310 in · $1.24 out / 1M

205K context · released 5 months ago

Full page →
M

Mistral Small 3.1 24B

Mistral AI

0.25¢

for a client proposal

$0.404 in · $0.638 out / 1M

128K context · released March 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.51¢ for a typical client proposal.

At a glance

  • Cheapest input: MiniMax M2.7 at $0.310 per million tokens.
  • Cheapest output: Mistral Small 3.1 24B at $0.638 per million tokens.
  • Largest context: MiniMax M2.7 at 205K tokens — about 290 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
MiniMax M2.7
0.12¢
Mistral Small 3.1 24B
0.11¢

Draft a client proposal from notes

5K in · 800 out
MiniMax M2.7
0.25¢
Mistral Small 3.1 24B
0.25¢

Context-heavy session (Alyph workspace)

155K in · 4K out
MiniMax M2.7
$0.05
Mistral Small 3.1 24B
needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out
MiniMax M2.7
1.2¢
Mistral Small 3.1 24B
1.5¢

Large architecture refactor

250K in · 3K out
MiniMax M2.7
needs 250K ctx
Mistral Small 3.1 24B
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
free$0.25$0.500 tokens250k500k750k1000k
MiniMax M2.7
Mistral Small 3.1 24B

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

Pricing

MiniMax M2.7
Mistral Small 3.1 24B
Input / 1M tokens
$0.310
$0.404
Output / 1M tokens
$1.24
$0.638
Cached input / 1M
$0.062

Specs

MiniMax M2.7
Mistral Small 3.1 24B
Released
5 months ago
March 2025
Context window
205K
128K
Max output
131K
128K
Input
Text
Text and Images
Output
Text
Text
Reasoning
Shows its thinking
Answers directly
Knowledge cutoff
2023-10-31

Try it with real numbers

2K tokens in · 500 tokens out.

MiniMax M2.7

MiniMax

0.12¢

for this task

50% input · 50% output

Full pricing →

Mistral Small 3.1 24B

Mistral AI

0.11¢

for this task

72% input · 28% output

Full pricing →

All 2, same prompt and context: 0.24¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 2,111 of these.

Which should you pick?

For long documents, MiniMax M2.7 has the largest context window here — 205K tokens.

On price, Mistral Small 3.1 24B is the cheapest of the two on a typical task, at about 0.25¢.

For images or files, Mistral Small 3.1 24B can read them directly; MiniMax M2.7 is text-only.

If you want to watch the model think, MiniMax M2.7 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 →

Questions, answered

Which is cheaper, MiniMax M2.7 or Mistral Small 3.1 24B?

On a typical client proposal (5K tokens in, 800 out): Mistral Small 3.1 24B at 0.25¢; MiniMax M2.7 at 0.25¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

MiniMax M2.7 — 205K tokens, about 290 pages.

Can I run MiniMax M2.7 and Mistral Small 3.1 24B 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 0.51¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.51¢ for a typical client proposal. Free to start, with $5 of credit.