LLM Comparison

Claude Sonnet 5 vs Qwen3.7 Max: benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5 vs Qwen3.7 Max comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardClaude Sonnet 5 model pageQwen3.7 Max model page
Rank #9 vs #11AskClash overall scores 76.2 vs 70.7.
Pricing $3.00/$15.0 vs $2.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Alibaba.

Claude Sonnet 5 vs Qwen3.7 Max benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Sonnet 5Qwen3.7 Max
Overall Score76.270.7
Leaderboard Rank#9#11
RWT8.57.5
HLE57.441.4
GPQA91.192.4
IFEval—94.3
SWE-bench85.280.4
SWE-Pro63.2—
Terminal-Bench80.469.7
DeepSWE53.8—
OSWorld81.2—
MCP Atlas—76.4
Finance Agent—48.4
CharXiv88.3—
MMMU-Pro77.3—
Tau2—94.7
MRCR—90.4
Input Price (per 1M tokens)$3.00$2.50
Output Price (per 1M tokens)$15.0$7.50
Context Window1M1M
Benchmarks Published1111

Claude Sonnet 5 vs Qwen3.7 Max head-to-head charts

Claude Sonnet 5 leads 5 and Qwen3.7 Max leads 1 of 6 shared benchmarks. Qwen3.7 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Sonnet 5Qwen3.7 Max
Overall
76.2Claude Sonnet 5
70.7Qwen3.7 Max
RWT
8.5Claude Sonnet 5
7.5Qwen3.7 Max
HLE
57.4Claude Sonnet 5
41.4Qwen3.7 Max
GPQA
91.1Claude Sonnet 5
92.4Qwen3.7 Max
SWE-bench
85.2Claude Sonnet 5
80.4Qwen3.7 Max
Terminal-Bench
80.4Claude Sonnet 5
69.7Qwen3.7 Max
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
Context1M
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Sonnet 5 and Qwen3.7 Max comparisons

Explore how Claude Sonnet 5 and Qwen3.7 Max stack up against other top-ranked LLMs.

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How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.