All models

Qwen2.5 Coder 32B Instruct vs GLM 4.6

Qwen2.5 Coder 32B Instruct at $0.759 in and $1.15 out and GLM 4.6 at $0.575 in and $2.30 out — per million tokens, from the same wallet.

Q

Qwen2.5 Coder 32B Instruct

Qwen

0.47¢

for a client proposal

$0.759 in · $1.15 out / 1M

33K context · released November 2024

Full page →
Z

GLM 4.6

Z.ai

0.47¢

for a client proposal

$0.575 in · $2.30 out / 1M

203K context · released September 2025

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.94¢ for a typical client proposal.

At a glance

  • Cheapest input: GLM 4.6 at $0.575 per million tokens.
  • Cheapest output: Qwen2.5 Coder 32B Instruct at $1.15 per million tokens.
  • Largest context: GLM 4.6 at 203K tokens — about 290 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
Qwen2.5 Coder 32B Instruct
0.21¢
GLM 4.6
0.23¢

Draft a client proposal from notes

5K in · 800 out
Qwen2.5 Coder 32B Instruct
0.47¢
GLM 4.6
0.47¢

Context-heavy session (Alyph workspace)

155K in · 4K out
Qwen2.5 Coder 32B Instruct
needs 155K ctx
GLM 4.6
$0.10

Analyze a 50-page legal contract

35K in · 1K out
Qwen2.5 Coder 32B Instruct
needs 35K ctx
GLM 4.6
2.2¢

Large architecture refactor

250K in · 3K out
Qwen2.5 Coder 32B Instruct
needs 250K ctx
GLM 4.6
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$0.46$0.920 tokens250k500k750k1000k
Qwen2.5 Coder 32B Instruct
GLM 4.6

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

Pricing

Qwen2.5 Coder 32B Instruct
GLM 4.6
Input / 1M tokens
$0.759
$0.575
Output / 1M tokens
$1.15
$2.30
Cached input / 1M
$0.115

Specs

Qwen2.5 Coder 32B Instruct
GLM 4.6
Provider
Released
November 2024
September 2025
Context window
33K
203K
Max output
33K
131K
Input
Text
Text
Output
Text
Text
Reasoning
Answers directly
Shows its thinking
Knowledge cutoff
2024-06-30
2025-03-31

Try it with real numbers

2K tokens in · 500 tokens out.

Qwen2.5 Coder 32B Instruct

Qwen

0.21¢

for this task

73% input · 27% output

Full pricing →

GLM 4.6

Z.ai

0.23¢

for this task

50% input · 50% output

Full pricing →

All 2, same prompt and context: 0.44¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 1,138 of these.

Which should you pick?

For long documents, GLM 4.6 has the largest context window here — 203K tokens.

On price they are identical: about 0.47¢ for a typical task each.

If you want to watch the model think, GLM 4.6 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 →

Questions, answered

Which is cheaper, Qwen2.5 Coder 32B Instruct or GLM 4.6?

On a typical client proposal (5K tokens in, 800 out) they cost the same — about 0.47¢ each. Compare them on context and capabilities instead.

Which has the largest context window?

GLM 4.6 — 203K tokens, about 290 pages.

Can I run Qwen2.5 Coder 32B Instruct and GLM 4.6 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 0.94¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.94¢ for a typical client proposal. Free to start, with $5 of credit.