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#100

Qwen3 Coder Next

Qwen Release: 2026-02-03 Tested on: 2026-04-14 00:56 qwen/qwen3-coder-next::medium
80B total (3B active)MoEOpen source
(medium) (none)

Summary

Qwen3 Coder Next scores 4.7 on AI BENCHY and ranks #100. It has N/A reliability, a 27.8% pass rate, $0.008 total cost, and 10.75s average response time.

What makes Qwen3 Coder Next unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-08-12

Reported
Parameters
80B total (3B active)
Architecture
MoE
Availability
Open source
License
Apache-2.0

Score

4.7

Consistency

8.7

Reliability

N/A

Total Output Tokens

3,241

Total Input Tokens

0

Input Price

$0.150 / 1M

Output Price

$0.800 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 15

Attempt pass rate: 27.8%

Flaky tests

3

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

10.75s

Response Time (max): 81.80s

Response Time (total): 129.01s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#100 Qwen3 Coder Next

medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:38 Re-test 4.6 10.0 $0.034 ↑ Compare
2026-07-16 21:16 New test added 4.7 10.0 $0.032 ↓ Compare
2026-06-04 13:09 New test added 4.6 10.0 $0.008 ↓ Compare
2026-05-21 23:45 Suite changed 4.7 10.0 $0.008 Compare
2026-04-14 00:56 First recorded run 4.7 N/A $0.008 Current run

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 3.5 8.1
Coding 4.7 1.6
Combined 3.0 10.0
Data parsing and extraction 6.5 10.0
Domain specific 5.3 10.0
General Intelligence 6.3 3.4
Instructions following 4.8 10.0
Puzzle Solving 3.1 10.0
Tool Calling 10.0 10.0

Compared models