Benchmark Almanac

Template Following generalization (Qwen)

Qwen3-Coder-Next 92.7%
Only in system cards

Models follow system prompts and emit exactly formatted XML or JSON tool calls for five scaffolds derived from popular IDE and CLI coding agents.

In-house Qwen evaluation. The tasks are not public.

Made by
Qwen (Alibaba)
Released
February 2026
Kind
Function calling
Level
Everyday
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Last in a system card
February 2026
Last model added
February 2026
1
Model scored in lab cards
1
System card reports it, from 1 lab

Qwen3-Coder-Next leads with 92.7%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 92.7 Qwen3-Coder-Next
  1. 1 Qwen3-Coder-Next 92.7%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Qwen3-Coder-Next 92.7% Feb 2026 Lab model card

Qwen’s own number for Qwen3-Coder-Next passed 85% in February 2026

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Qwen3-Coder-Next 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Qwen3-Coder-Next

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Feb 28, 2026 Qwen3-Coder-Next technical report 92.7 Template Following generalization, average of 5 IDE and CLI scaffolds, in-house (Table 2) Capabilities

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