Kimi K2.7 Code vs GPT-3.5 Turbo (older v0613)

Kimi K2.7 Code at $0.805 in and $4.03 out and GPT-3.5 Turbo (older v0613) at $1.15 in and $2.30 out — per million tokens, from the same wallet.

Kimi K2.7 Code

Moonshot AI

0.72¢

for a client proposal

$0.805 in · $4.03 out / 1M

262K context · released 2 months ago

Full page →

GPT-3.5 Turbo (older v0613)

OpenAI

0.76¢

for a client proposal

$1.15 in · $2.30 out / 1M

4K context · released January 2024

Full page →

Asking all both at once — identical prompt, identical context — costs about 1.5¢ for a typical client proposal.

At a glance

Cheapest input: Kimi K2.7 Code at $0.805 per million tokens.
Cheapest output: GPT-3.5 Turbo (older v0613) at $2.30 per million tokens.
Largest context: Kimi K2.7 Code 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

Kimi K2.7 Code

0.36¢

GPT-3.5 Turbo (older v0613)

0.34¢

Draft a client proposal from notes

5K in · 800 out

Kimi K2.7 Code

0.72¢

GPT-3.5 Turbo (older v0613)

needs 5K ctx

Context-heavy session (Alyph workspace)

155K in · 4K out

Kimi K2.7 Code

$0.14

GPT-3.5 Turbo (older v0613)

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

Kimi K2.7 Code

3.2¢

GPT-3.5 Turbo (older v0613)

needs 35K ctx

Large architecture refactor

250K in · 3K out

Kimi K2.7 Code

$0.21

GPT-3.5 Turbo (older v0613)

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

Kimi K2.7 Code

GPT-3.5 Turbo (older v0613)

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

Pricing

Kimi K2.7 Code

GPT-3.5 Turbo (older v0613)

Input / 1M tokens

$0.805

$1.15

Output / 1M tokens

$4.03

$2.30

Cached input / 1M

$0.172

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Specs

Kimi K2.7 Code

GPT-3.5 Turbo (older v0613)

Provider

Moonshot AI

OpenAI

Released

2 months ago

January 2024

Context window

262K

Max output

262K

Input

Text and Images

Text

Output

Text

Reasoning

Shows its thinking

Answers directly

Knowledge cutoff

—

2021-09-30

Try it with real numbers

2K tokens in · 500 tokens out.

Kimi K2.7 Code

Moonshot AI

0.36¢

for this task

44% input · 56% output

Full pricing →

GPT-3.5 Turbo (older v0613)

OpenAI

0.34¢

for this task

67% input · 33% output

Full pricing →

All 2, same prompt and context: 0.71¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 706 of these.

Which should you pick?

For long documents, Kimi K2.7 Code has the largest context window here — 262K tokens.

On price, Kimi K2.7 Code is the cheapest of the two on a typical task, at about 0.72¢.

For images or files, Kimi K2.7 Code can read them directly; GPT-3.5 Turbo (older v0613) is text-only.

If you want to watch the model think, Kimi K2.7 Code 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 →

Kimi K2.7 Code pricing →GPT-3.5 Turbo (older v0613) pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Kimi K2.7 Code or GPT-3.5 Turbo (older v0613)?

On a typical client proposal (5K tokens in, 800 out): Kimi K2.7 Code at 0.72¢; GPT-3.5 Turbo (older v0613) at 0.76¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Kimi K2.7 Code — 262K tokens, about 370 pages.

Can I run Kimi K2.7 Code and GPT-3.5 Turbo (older v0613) 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 1.5¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 1.5¢ for a typical client proposal. Free to start, with $5 of credit.