LLM Comparison

Gemini 3.5 Flash vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.5 Flash vs Qwen3.8 Max 0902 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 #24 vs #34AskClash overall scores 58.7 vs 53.8.
Pricing $1.50/$9.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs Alibaba.

Gemini 3.5 Flash vs Qwen3.8 Max 0902 benchmark comparison

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

MetricGemini 3.5 FlashQwen3.8 Max 0902
Overall Score58.753.8
Leaderboard Rank#24#34
RWT7.0
HLE40.2
GPQA92.2
IFEval76.3
SWE-Pro55.1
SWE-Atlas66.3
Terminal-Bench76.2
DeepSWE36.169.3
GDPval-AA1259.1
OSWorld78.4
MCP Atlas83.6
Finance Agent57.9
CharXiv84.2
MMMU-Pro83.682.7
ARC-AGI 272.1
Tau295.3
MRCR77.3
Input Price (per 1M tokens)$1.50$2.00
Output Price (per 1M tokens)$9.00$6.00
Context Window1M1M
Benchmarks Published163

Gemini 3.5 Flash vs Qwen3.8 Max 0902 head-to-head charts

Gemini 3.5 Flash leads 2 and Qwen3.8 Max 0902 leads 1 of 3 shared benchmarks. Qwen3.8 Max 0902 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.5 FlashQwen3.8 Max 0902
Overall
58.7Gemini 3.5 Flash
53.8Qwen3.8 Max 0902
DeepSWE
36.1Gemini 3.5 Flash
69.3Qwen3.8 Max 0902
MMMU-Pro
83.6Gemini 3.5 Flash
82.7Qwen3.8 Max 0902
Gemini 3.5 Flash
Input$1.50
Output$9.00
Workload$3.30
Context1M
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M

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

More Gemini 3.5 Flash and Qwen3.8 Max 0902 comparisons

Explore how Gemini 3.5 Flash and Qwen3.8 Max 0902 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.