All models

GPT-4o-mini (2024-07-18) vs Qwen3 Coder Next

GPT-4o-mini (2024-07-18) at $0.172 in and $0.690 out and Qwen3 Coder Next at $0.138 in and $0.920 out — per million tokens, from the same wallet.

GPT-4o-mini (2024-07-18)

OpenAI

0.14¢

for a client proposal

$0.172 in · $0.690 out / 1M

128K context · released July 2024

Full page →
Q

Qwen3 Coder Next

Qwen

0.14¢

for a client proposal

$0.138 in · $0.920 out / 1M

262K context · released 6 months ago

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.28¢ for a typical client proposal.

At a glance

  • Cheapest input: Qwen3 Coder Next at $0.138 per million tokens.
  • Cheapest output: GPT-4o-mini (2024-07-18) at $0.690 per million tokens.
  • Largest context: Qwen3 Coder Next 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-4o-mini (2024-07-18)
0.07¢
Qwen3 Coder Next
0.07¢

Draft a client proposal from notes

5K in · 800 out
GPT-4o-mini (2024-07-18)
0.14¢
Qwen3 Coder Next
0.14¢

Context-heavy session (Alyph workspace)

155K in · 4K out
GPT-4o-mini (2024-07-18)
needs 155K ctx
Qwen3 Coder Next
2.5¢

Analyze a 50-page legal contract

35K in · 1K out
GPT-4o-mini (2024-07-18)
0.67¢
Qwen3 Coder Next
0.57¢

Large architecture refactor

250K in · 3K out
GPT-4o-mini (2024-07-18)
needs 250K ctx
Qwen3 Coder Next
3.7¢

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$0.15$0.290 tokens250k500k750k1000k
GPT-4o-mini (2024-07-18)
Qwen3 Coder Next

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

Pricing

GPT-4o-mini (2024-07-18)
Qwen3 Coder Next
Input / 1M tokens
$0.172
$0.138
Output / 1M tokens
$0.690
$0.920
Cached input / 1M
$0.086
$0.081

Specs

GPT-4o-mini (2024-07-18)
Qwen3 Coder Next
Provider
Released
July 2024
6 months ago
Context window
128K
262K
Max output
16K
262K
Input
Text, Images, and Files
Text
Output
Text
Text
Reasoning
Answers directly
Answers directly
Knowledge cutoff
2023-10-31

Try it with real numbers

2K tokens in · 500 tokens out.

GPT-4o-mini (2024-07-18)

OpenAI

0.07¢

for this task

50% input · 50% output

Full pricing →

Qwen3 Coder Next

Qwen

0.07¢

for this task

38% input · 62% output

Full pricing →

All 2, same prompt and context: 0.14¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 3,506 of these.

Which should you pick?

For long documents, Qwen3 Coder Next has the largest context window here — 262K tokens.

On price, GPT-4o-mini (2024-07-18) is the cheapest of the two on a typical task, at about 0.14¢.

For images or files, GPT-4o-mini (2024-07-18) can read them directly; Qwen3 Coder Next 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 →

Questions, answered

Which is cheaper, GPT-4o-mini (2024-07-18) or Qwen3 Coder Next?

On a typical client proposal (5K tokens in, 800 out): GPT-4o-mini (2024-07-18) at 0.14¢; Qwen3 Coder Next at 0.14¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Qwen3 Coder Next — 262K tokens, about 370 pages.

Can I run GPT-4o-mini (2024-07-18) and Qwen3 Coder Next 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 0.28¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.28¢ for a typical client proposal. Free to start, with $5 of credit.