GPT-3.5 Turbo vs Qwen3.5 397B A17B

GPT-3.5 Turbo at $0.575 in and $1.73 out and Qwen3.5 397B A17B at $0.449 in and $2.69 out — per million tokens, from the same wallet.

GPT-3.5 Turbo

OpenAI

0.43¢

for a client proposal

$0.575 in · $1.73 out / 1M

16K context · released May 2023

Full page →

Qwen3.5 397B A17B

Qwen

0.44¢

for a client proposal

$0.449 in · $2.69 out / 1M

262K context · released 6 months ago

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.87¢ for a typical client proposal.

At a glance

Cheapest input: Qwen3.5 397B A17B at $0.449 per million tokens.
Cheapest output: GPT-3.5 Turbo at $1.73 per million tokens.
Largest context: Qwen3.5 397B A17B 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

GPT-3.5 Turbo

0.2¢

Qwen3.5 397B A17B

0.22¢

Draft a client proposal from notes

5K in · 800 out

GPT-3.5 Turbo

0.43¢

Qwen3.5 397B A17B

0.44¢

Context-heavy session (Alyph workspace)

155K in · 4K out

GPT-3.5 Turbo

needs 155K ctx

Qwen3.5 397B A17B

$0.08

Analyze a 50-page legal contract

35K in · 1K out

GPT-3.5 Turbo

needs 35K ctx

Qwen3.5 397B A17B

1.8¢

Large architecture refactor

250K in · 3K out

GPT-3.5 Turbo

needs 250K ctx

Qwen3.5 397B A17B

$0.12

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-3.5 Turbo

Qwen3.5 397B A17B

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

Pricing

GPT-3.5 Turbo

Qwen3.5 397B A17B

Input / 1M tokens

$0.575

$0.449

Output / 1M tokens

$1.73

$2.69

Specs

GPT-3.5 Turbo

Qwen3.5 397B A17B

Provider

OpenAI

Qwen

Released

May 2023

6 months ago

Context window

16K

262K

Max output

66K

Input

Text

Text, Images, and Video

Output

Text

Reasoning

Answers directly

Shows its thinking

Knowledge cutoff

2021-09-30

—

Try it with real numbers

2K tokens in · 500 tokens out.

GPT-3.5 Turbo

OpenAI

0.2¢

for this task

57% input · 43% output

Full pricing →

Qwen3.5 397B A17B

Qwen

0.22¢

for this task

40% input · 60% output

Full pricing →

All 2, same prompt and context: 0.43¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 1,175 of these.

Which should you pick?

For long documents, Qwen3.5 397B A17B has the largest context window here — 262K tokens.

On price, GPT-3.5 Turbo is the cheapest of the two on a typical task, at about 0.43¢.

For images or files, Qwen3.5 397B A17B can read them directly; GPT-3.5 Turbo is text-only.

If you want to watch the model think, Qwen3.5 397B A17B 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-3.5 Turbo pricing →Qwen3.5 397B A17B pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, GPT-3.5 Turbo or Qwen3.5 397B A17B?

On a typical client proposal (5K tokens in, 800 out): GPT-3.5 Turbo at 0.43¢; Qwen3.5 397B A17B at 0.44¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Qwen3.5 397B A17B — 262K tokens, about 370 pages.

Can I run GPT-3.5 Turbo and Qwen3.5 397B A17B 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 0.87¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.87¢ for a typical client proposal. Free to start, with $5 of credit.