Ling-2.6-1T vs Qwen3 VL 32B Instruct

Ling-2.6-1T at $0.086 in and $0.719 out and Qwen3 VL 32B Instruct at $0.120 in and $0.478 out — per million tokens, from the same wallet.

Ling-2.6-1T

Inclusionai

0.1¢

for a client proposal

$0.086 in · $0.719 out / 1M

262K context · released 4 months ago

Full page →

Qwen3 VL 32B Instruct

Qwen

0.1¢

for a client proposal

$0.120 in · $0.478 out / 1M

131K context · released October 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.2¢ for a typical client proposal.

At a glance

Cheapest input: Ling-2.6-1T at $0.086 per million tokens.
Cheapest output: Qwen3 VL 32B Instruct at $0.478 per million tokens.
Largest context: Ling-2.6-1T 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

Ling-2.6-1T

0.05¢

Qwen3 VL 32B Instruct

0.05¢

Draft a client proposal from notes

5K in · 800 out

Ling-2.6-1T

0.1¢

Qwen3 VL 32B Instruct

0.1¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Ling-2.6-1T

1.6¢

Qwen3 VL 32B Instruct

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

Ling-2.6-1T

0.37¢

Qwen3 VL 32B Instruct

0.47¢

Large architecture refactor

250K in · 3K out

Ling-2.6-1T

2.4¢

Qwen3 VL 32B Instruct

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

Ling-2.6-1T

Qwen3 VL 32B Instruct

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

Pricing

Ling-2.6-1T

Qwen3 VL 32B Instruct

Input / 1M tokens

$0.086

$0.120

Output / 1M tokens

$0.719

$0.478

Cached input / 1M

$0.017

—

Specs

Ling-2.6-1T

Qwen3 VL 32B Instruct

Provider

Inclusionai

Qwen

Released

4 months ago

October 2025

Context window

262K

131K

Max output

33K

Input

Text

Text and Images

Output

Text

Reasoning

Answers directly

Knowledge cutoff

—

Try it with real numbers

2K tokens in · 500 tokens out.

Ling-2.6-1T

Inclusionai

0.05¢

for this task

32% input · 68% output

Full pricing →

Qwen3 VL 32B Instruct

Qwen

0.05¢

for this task

50% input · 50% output

Full pricing →

All 2, same prompt and context: 0.1¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 4,949 of these.

Which should you pick?

For long documents, Ling-2.6-1T has the largest context window here — 262K tokens.

On price, Qwen3 VL 32B Instruct is the cheapest of the two on a typical task, at about 0.1¢.

For images or files, Qwen3 VL 32B Instruct can read them directly; Ling-2.6-1T is text-only.

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 →

Ling-2.6-1T pricing →Qwen3 VL 32B Instruct pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Ling-2.6-1T or Qwen3 VL 32B Instruct?

On a typical client proposal (5K tokens in, 800 out): Qwen3 VL 32B Instruct at 0.1¢; Ling-2.6-1T at 0.1¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Ling-2.6-1T — 262K tokens, about 370 pages.

Can I run Ling-2.6-1T and Qwen3 VL 32B Instruct 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 0.2¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.2¢ for a typical client proposal. Free to start, with $5 of credit.