Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GLM-5.3-Flash vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.
Side-by-side GLM-5.3-Flash vs Gemini 3.1 Pro 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.
Verdict: GLM-5.3-Flash ranks higher (#19 vs #45) and wins 5 of 6 shared benchmarks; GLM-5.3-Flash costs less ($0.15/$0.50 vs $2.00/$12.0 per 1M tokens).
Rank #19 vs #45AskClash overall scores 59.6 vs 40.8.
Pricing $0.15/$0.50 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryZ.AI vs Google.
GLM-5.3-Flash vs Gemini 3.1 Pro benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GLM-5.3-Flash | Gemini 3.1 Pro |
|---|---|---|
| Overall Score | 59.6 | 40.8 |
| Leaderboard Rank | #19 | #45 |
| ACB | 61.2 | — |
| RWT | 8.5 | — |
| HLE | 55.3 | 51.4 |
| GPQA | 91.2 | 94.3 |
| SWE-bench | — | 80.6 |
| SWE-Pro | — | 54.2 |
| Terminal-Bench | 32.8 | — |
| DeepSWE | 63.4 | 11.7 |
| GDPval-AA | 1773.0 | 1317.0 |
| MCP Atlas | — | 69.2 |
| Finance Agent | 57.9 | 43.0 |
| CharXiv | 89.4 | 80.2 |
| MMMU-Pro | — | 83.9 |
| ARC-AGI 2 | — | 77.1 |
| Tau2 | — | 99.3 |
| MRCR | — | 84.9 |
| Input Price (per 1M tokens) | $0.15 | $2.00 |
| Output Price (per 1M tokens) | $0.50 | $12.0 |
| Context Window | 1M | 1M |
| Benchmarks Published | 11 | 10 |
GLM-5.3-Flash vs Gemini 3.1 Pro head-to-head charts
GLM-5.3-Flash leads 6 and Gemini 3.1 Pro leads 1 of 7 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GLM-5.3-FlashGemini 3.1 Pro
Overall
HLE
GPQA
DeepSWE
GDPval-AA
Finance Agent
CharXiv
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GLM-5.3-Flash and Gemini 3.1 Pro comparisons
Explore how GLM-5.3-Flash and Gemini 3.1 Pro stack up against other top-ranked LLMs.
Claude Opus 5.5 vs GLM-5.3-FlashClaude Opus 5.5 vs Gemini 3.1 ProClaude Fable 5.1 vs GLM-5.3-FlashClaude Fable 5.1 vs Gemini 3.1 ProClaude Opus 5 vs GLM-5.3-FlashClaude Opus 5 vs Gemini 3.1 ProClaude Sonnet 5.5 vs GLM-5.3-FlashClaude Sonnet 5.5 vs Gemini 3.1 ProClaude Fable 5 vs GLM-5.3-FlashClaude Fable 5 vs Gemini 3.1 Pro
How to read this comparison
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.