Frontier BenchAI model benchmarks · Jul 2026
ModelsCompareLabsMethodology
All models
AQ

Qwen 3.7 Max

Alibaba (Qwen)

Apache-2.0 hosted frontier model. Top multilingual and agentic-coding open option.

FrontierApache 2.01M contextReleased Mar 2026textvisioncode

API price · per 1M tokens

$2.5/$7.5

input / output

≈ $3.75/M blended

Benchmarks

Bar shows this model's score; tick shows the best score across all tracked models for context.

SWE-bench VerifiedReal GitHub issues, human-verified patches. The standard coding-agent benchmark.
81.0/ best 90.1
SWE-bench Pro2,294 harder real-world GitHub issues. Where the frontier separates now.
60.6/ best 69.2
Terminal-Bench 2.xAgentic command-line workflows — planning, iteration, tool coordination.
69.7/ best 84.0
GPQA DiamondGoogle-proof graduate-level science Q&A. General reasoning proxy.
88.4/ best 94.4
MMLU-ProMulti-task language understanding across 120+ academic subjects.
84.0/ best 93.0
HumanEval+Functional code generation from docstrings.
92.0/ best 96.0
MATH-500Competition-style math problems.
95.0/ best 97.8
Humanity's Last ExamHardest reasoning benchmark (with tools). ~50% = near frontier.
46.0/ best 57.9
AIME 2025American Invitational Mathematics Examination.
90.0/ best 96.5

Other Alibaba (Qwen) models

AQ

Qwen 3.5 Coder

Open-weight

≈$0.30/M

Built by GLM-5.2 · Scores are directional, drawn from public mid-2026 benchmarks.

SWE-bench, GPQA, MMLU, AIME, HLE etc. are trademarks of their respective owners.