GPT-5.1-Codex-Mini vs ReMM SLERP 13B

GPT-5.1-Codex-Mini at $0.287 in and $2.30 out and ReMM SLERP 13B at $0.517 in and $0.748 out — per million tokens, from the same wallet.

GPT-5.1-Codex-Mini

OpenAI

0.33¢

for a client proposal

$0.287 in · $2.30 out / 1M

400K context · released November 2025

Full page →

ReMM SLERP 13B

Undi95

0.32¢

for a client proposal

$0.517 in · $0.748 out / 1M

6K context · released July 2023

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.65¢ for a typical client proposal.

At a glance

Cheapest input: GPT-5.1-Codex-Mini at $0.287 per million tokens.
Cheapest output: ReMM SLERP 13B at $0.748 per million tokens.
Largest context: GPT-5.1-Codex-Mini at 400K tokens — about 570 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

GPT-5.1-Codex-Mini

0.17¢

ReMM SLERP 13B

0.14¢

Draft a client proposal from notes

5K in · 800 out

GPT-5.1-Codex-Mini

0.33¢

ReMM SLERP 13B

0.32¢

Context-heavy session (Alyph workspace)

155K in · 4K out

GPT-5.1-Codex-Mini

$0.05

ReMM SLERP 13B

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

GPT-5.1-Codex-Mini

1.2¢

ReMM SLERP 13B

needs 35K ctx

Large architecture refactor

250K in · 3K out

GPT-5.1-Codex-Mini

$0.08

ReMM SLERP 13B

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

GPT-5.1-Codex-Mini

ReMM SLERP 13B

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

Pricing

GPT-5.1-Codex-Mini

ReMM SLERP 13B

Input / 1M tokens

$0.287

$0.517

Output / 1M tokens

$2.30

$0.748

Cached input / 1M

$0.035

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Web search

1.1¢ / search

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Specs

GPT-5.1-Codex-Mini

ReMM SLERP 13B

Provider

OpenAI

Undi95

Released

November 2025

July 2023

Context window

400K

Max output

128K

Input

Images and Text

Text

Output

Text

Reasoning

Shows its thinking

Answers directly

Knowledge cutoff

—

2023-06-30

Try it with real numbers

2K tokens in · 500 tokens out.

GPT-5.1-Codex-Mini

OpenAI

0.17¢

for this task

33% input · 67% output

Full pricing →

ReMM SLERP 13B

Undi95

0.14¢

for this task

73% input · 27% output

Full pricing →

All 2, same prompt and context: 0.31¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 1,595 of these.

Which should you pick?

For long documents, GPT-5.1-Codex-Mini has the largest context window here — 400K tokens.

On price, ReMM SLERP 13B is the cheapest of the two on a typical task, at about 0.32¢.

For images or files, GPT-5.1-Codex-Mini can read them directly; ReMM SLERP 13B is text-only.

If you want to watch the model think, GPT-5.1-Codex-Mini 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 →

GPT-5.1-Codex-Mini pricing →ReMM SLERP 13B pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, GPT-5.1-Codex-Mini or ReMM SLERP 13B?

On a typical client proposal (5K tokens in, 800 out): ReMM SLERP 13B at 0.32¢; GPT-5.1-Codex-Mini at 0.33¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

GPT-5.1-Codex-Mini — 400K tokens, about 570 pages.

Can I run GPT-5.1-Codex-Mini and ReMM SLERP 13B 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 0.65¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.65¢ for a typical client proposal. Free to start, with $5 of credit.