All models

Kimi K2.5 vs Qwen3 VL 235B A22B Thinking

Kimi K2.5 at $0.655 in and $3.28 out and Qwen3 VL 235B A22B Thinking at $0.460 in and $4.60 out — per million tokens, from the same wallet.

M

Kimi K2.5

Moonshot AI

0.59¢

for a client proposal

$0.655 in · $3.28 out / 1M

262K context · released 6 months ago

Full page →
Q

Qwen3 VL 235B A22B Thinking

Qwen

0.6¢

for a client proposal

$0.460 in · $4.60 out / 1M

131K context · released September 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 1.2¢ for a typical client proposal.

At a glance

  • Cheapest input: Qwen3 VL 235B A22B Thinking at $0.460 per million tokens.
  • Cheapest output: Kimi K2.5 at $3.28 per million tokens.
  • Largest context: Kimi K2.5 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 K2.5
0.29¢
Qwen3 VL 235B A22B Thinking
0.32¢

Draft a client proposal from notes

5K in · 800 out
Kimi K2.5
0.59¢
Qwen3 VL 235B A22B Thinking
0.6¢

Context-heavy session (Alyph workspace)

155K in · 4K out
Kimi K2.5
$0.11
Qwen3 VL 235B A22B Thinking
needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out
Kimi K2.5
2.6¢
Qwen3 VL 235B A22B Thinking
2.1¢

Large architecture refactor

250K in · 3K out
Kimi K2.5
$0.17
Qwen3 VL 235B A22B Thinking
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$0.64$1.290 tokens250k500k750k1000k
Kimi K2.5
Qwen3 VL 235B A22B Thinking

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

Pricing

Kimi K2.5
Qwen3 VL 235B A22B Thinking
Input / 1M tokens
$0.655
$0.460
Output / 1M tokens
$3.28
$4.60
Cached input / 1M
$0.109

Specs

Kimi K2.5
Qwen3 VL 235B A22B Thinking
Released
6 months ago
September 2025
Context window
262K
131K
Max output
262K
33K
Input
Text and Images
Text and Images
Output
Text
Text
Reasoning
Shows its thinking
Shows its thinking
Knowledge cutoff
2025-03-31

Try it with real numbers

2K tokens in · 500 tokens out.

Kimi K2.5

Moonshot AI

0.29¢

for this task

44% input · 56% output

Full pricing →

Qwen3 VL 235B A22B Thinking

Qwen

0.32¢

for this task

29% input · 71% output

Full pricing →

All 2, same prompt and context: 0.62¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 810 of these.

Which should you pick?

For long documents, Kimi K2.5 has the largest context window here — 262K tokens.

On price, Kimi K2.5 is the cheapest of the two on a typical task, at about 0.59¢.

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, Kimi K2.5 or Qwen3 VL 235B A22B Thinking?

On a typical client proposal (5K tokens in, 800 out): Kimi K2.5 at 0.59¢; Qwen3 VL 235B A22B Thinking at 0.6¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Kimi K2.5 — 262K tokens, about 370 pages.

Can I run Kimi K2.5 and Qwen3 VL 235B A22B Thinking 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 1.2¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 1.2¢ for a typical client proposal. Free to start, with $5 of credit.