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reasoning benchmark

FullStackBench zh Leaderboard

FullStackBench zh is the Chinese subset of FullStackBench for evaluating end-to-end software engineering and full-stack development capability.

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

FullStackBench zh Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore58.70%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore57.40%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore55.00%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 2026

FullStackBench zh Highlights

The leading models and scores on this benchmark.

FullStackBench zh Score Distribution

A closer view of the leading scores on this benchmark.

FullStackBench zh

The Top AI Models for FullStackBench zh

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is FullStackBench zh?

What FullStackBench zh measures and how its scores work.

FullStackBench zh is a Chinese subset of FullStackBench.

It evaluates end-to-end software engineering and full-stack development capability using the Score metric, expressed as a ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
FullStackBench zh
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about FullStackBench zh.

Which model scores highest on FullStackBench zh?

Qwen3.5-122B-A10B is currently ranked first with 58.70%.

What are the top three models on FullStackBench zh?

The current leaders are Qwen3.5-122B-A10B (58.70%), Qwen3.5-27B (57.40%), and Qwen3.5-35B-A3B (55.00%).

Which FullStackBench zh model has the lowest official input price?

Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.

Which models are fastest among FullStackBench zh results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does FullStackBench zh measure?

It evaluates end-to-end software engineering and full-stack development capability using the Score metric, expressed as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Qwen3.5-122B-A10B58.70%
Rank #2Qwen3.5-27B57.40%
Rank #3Qwen3.5-35B-A3B55.00%

Ranking basisThis fullstackbench zh AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.5-122B-A10BAlibaba Cloud / Qwen Team
    Score
    58.70%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FullStackBench zh, not total model capability
  2. 02
    AC
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    57.40%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FullStackBench zh, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    55.00%
    Price
    $0.25 input / $2.0 output per 1M tokens

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FullStackBench zh, not total model capability

Selection summary

Best AI Models for FullStackBench zh

Qwen3.5-122B-A10B currently leads FullStackBench zh with 58.70%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Qwen3.5-35B-A3B
Benchmark rank #1Qwen3.5-122B-A10B58.70% · $0.40 input / $3.2 output per 1M tokens
Benchmark rank #2Qwen3.5-27B57.40% · $0.30 input / $2.4 output per 1M tokens
Benchmark rank #3Qwen3.5-35B-A3B55.00% · $0.25 input / $2.0 output per 1M tokens