LLM Comparison

Qwen3.8 Max vs Gemini 3.7 Flash: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max vs Gemini 3.7 Flash 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 #6 vs #12AskClash overall scores 74.7 vs 69.1.
Pricing $2.00/$6.00 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs Google.

Qwen3.8 Max vs Gemini 3.7 Flash benchmark comparison

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

MetricQwen3.8 MaxGemini 3.7 Flash
Overall Score74.769.1
Leaderboard Rank#6#12
ACB59.038.9
HLE43.653.6
GPQA92.694.5
IFEval82.8
SWE-Pro67.7
Terminal-Bench86.685.8
DeepSWE56.665.3
OSWorld86.1
Finance Agent50.6
CharXiv88.484.5
MMMU-Pro82.385.5
MRCR92.997.0
Input Price (per 1M tokens)$2.00$1.50
Output Price (per 1M tokens)$6.00$7.50
Context Window1M1M
Benchmarks Published1210

Qwen3.8 Max vs Gemini 3.7 Flash head-to-head charts

Qwen3.8 Max leads 4 and Gemini 3.7 Flash leads 5 of 9 shared benchmarks. Gemini 3.7 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxGemini 3.7 Flash
Overall
74.7Qwen3.8 Max
69.1Gemini 3.7 Flash
ACB
59.0Qwen3.8 Max
38.9Gemini 3.7 Flash
HLE
43.6Qwen3.8 Max
53.6Gemini 3.7 Flash
GPQA
92.6Qwen3.8 Max
94.5Gemini 3.7 Flash
Terminal-Bench
86.6Qwen3.8 Max
85.8Gemini 3.7 Flash
DeepSWE
56.6Qwen3.8 Max
65.3Gemini 3.7 Flash
CharXiv
88.4Qwen3.8 Max
84.5Gemini 3.7 Flash
MMMU-Pro
82.3Qwen3.8 Max
85.5Gemini 3.7 Flash
MRCR
92.9Qwen3.8 Max
97.0Gemini 3.7 Flash
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
Gemini 3.7 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More Qwen3.8 Max and Gemini 3.7 Flash comparisons

Explore how Qwen3.8 Max and Gemini 3.7 Flash 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.