LLM Comparison

GLM-5.3 vs Claude Sonnet 5: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3 vs Claude Sonnet 5 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.

Rank #3 vs #12AskClash overall scores 80.4 vs 69.6.
Pricing $1.40/$4.40 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryZ.AI vs Anthropic.

GLM-5.3 vs Claude Sonnet 5 benchmark comparison

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

MetricGLM-5.3Claude Sonnet 5
Overall Score80.469.6
Leaderboard Rank#3#12
ACB62.260.8
RWT8.58.5
HLE62.557.4
GPQA91.791.1
SWE-bench85.2
SWE-Pro63.2
Terminal-Bench88.280.4
DeepSWE66.953.8
OSWorld81.2
CharXiv88.3
MMMU-Pro77.3
Input Price (per 1M tokens)$1.40$3.00
Output Price (per 1M tokens)$4.40$15.0
Context Window1M1M
Benchmarks Published712

GLM-5.3 vs Claude Sonnet 5 head-to-head charts

GLM-5.3 leads 6 and Claude Sonnet 5 leads 0 of 7 shared benchmarks. GLM-5.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3Claude Sonnet 5
Overall
80.4GLM-5.3
69.6Claude Sonnet 5
ACB
62.2GLM-5.3
60.8Claude Sonnet 5
RWT
8.5GLM-5.3
8.5Claude Sonnet 5
HLE
62.5GLM-5.3
57.4Claude Sonnet 5
GPQA
91.7GLM-5.3
91.1Claude Sonnet 5
Terminal-Bench
88.2GLM-5.3
80.4Claude Sonnet 5
DeepSWE
66.9GLM-5.3
53.8Claude Sonnet 5
GLM-5.3
Input$1.40
Output$4.40
Workload$2.28
Context1M
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More GLM-5.3 and Claude Sonnet 5 comparisons

Explore how GLM-5.3 and Claude Sonnet 5 stack up against other top-ranked LLMs.

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.