LLM Comparison

Qwen3.8 Flash Next vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Flash Next vs Gemini 3.5 Flash-Lite 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 #19 vs #55AskClash overall scores 57.6 vs 9.2.
Pricing $0.16/$0.47 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs Google.

Qwen3.8 Flash Next vs Gemini 3.5 Flash-Lite benchmark comparison

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

MetricQwen3.8 Flash NextGemini 3.5 Flash-Lite
Overall Score57.69.2
Leaderboard Rank#19#55
ACB66.5
RWT7.0
HLE35.9
GPQA91.7
IFEval81.3
SWE-Pro62.554.2
Terminal-Bench54.0
DeepSWE58.7
GDPval-AA1743.01140.0
OSWorld74.0
Finance Agent47.4
CharXiv90.6
MRCR72.2
Input Price (per 1M tokens)$0.16$0.30
Output Price (per 1M tokens)$0.47$2.50
Context Window1M1M
Benchmarks Published97

Qwen3.8 Flash Next vs Gemini 3.5 Flash-Lite head-to-head charts

Qwen3.8 Flash Next leads 3 and Gemini 3.5 Flash-Lite leads 0 of 3 shared benchmarks. Qwen3.8 Flash Next is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Flash NextGemini 3.5 Flash-Lite
Overall
57.6Qwen3.8 Flash Next
9.2Gemini 3.5 Flash-Lite
SWE-Pro
62.5Qwen3.8 Flash Next
54.2Gemini 3.5 Flash-Lite
GDPval-AA
1743.0Qwen3.8 Flash Next
1140.0Gemini 3.5 Flash-Lite
Qwen3.8 Flash Next
Input$0.16
Output$0.47
Workload$0.25
Context1M
Gemini 3.5 Flash-Lite
Input$0.30
Output$2.50
Workload$0.80
Context1M

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

More Qwen3.8 Flash Next and Gemini 3.5 Flash-Lite comparisons

Explore how Qwen3.8 Flash Next and Gemini 3.5 Flash-Lite 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.