How do Qwen3.8 Max and Gemini 3.5 Flash compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max and Gemini 3.5 Flash when publicly disclosed.

LLM Comparison

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

Q: Which is better: Qwen3.8 Max or Gemini 3.5 Flash?

AskClash compares Qwen3.8 Max and Gemini 3.5 Flash side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.8 Max vs Gemini 3.5 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.

Open live leaderboard Qwen3.8 Max model page Gemini 3.5 Flash model page

Rank #13 vs #25AskClash overall scores 64.0 vs 44.7.

Pricing $2.00/$6.00 vs $1.50/$9.00Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryAlibaba vs Google.

Qwen3.8 Max vs Gemini 3.5 Flash benchmark comparison

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

Metric	Qwen3.8 Max	Gemini 3.5 Flash
Overall Score	64.0	44.7
Leaderboard Rank	#13	#25
RWT	—	7.0
HLE	43.6	40.2
GPQA	92.6	92.2
IFEval	82.8	76.3
SWE-Pro	67.7	55.1
Terminal-Bench	86.6	76.2
DeepSWE	56.6	37.4
OSWorld	86.1	78.4
MCP Atlas	—	83.6
Finance Agent	—	57.9
CharXiv	88.4	84.2
MMMU-Pro	82.3	83.6
ARC-AGI 2	—	72.1
Tau2	—	95.3
MRCR	92.9	77.3
Input Price (per 1M tokens)	$2.00	$1.50
Output Price (per 1M tokens)	$6.00	$9.00
Context Window	1M	1M
Benchmarks Published	10	15

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

Qwen3.8 Max leads 10 and Gemini 3.5 Flash leads 1 of 11 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxGemini 3.5 Flash

Overall

64.0Qwen3.8 Max

44.7Gemini 3.5 Flash

HLE

43.6Qwen3.8 Max

40.2Gemini 3.5 Flash

GPQA

92.6Qwen3.8 Max

92.2Gemini 3.5 Flash

IFEval

82.8Qwen3.8 Max

76.3Gemini 3.5 Flash

SWE-Pro

67.7Qwen3.8 Max

55.1Gemini 3.5 Flash

Terminal-Bench

86.6Qwen3.8 Max

76.2Gemini 3.5 Flash

DeepSWE

56.6Qwen3.8 Max

37.4Gemini 3.5 Flash

OSWorld

86.1Qwen3.8 Max

78.4Gemini 3.5 Flash

CharXiv

88.4Qwen3.8 Max

84.2Gemini 3.5 Flash

MMMU-Pro

82.3Qwen3.8 Max

83.6Gemini 3.5 Flash

MRCR

92.9Qwen3.8 Max

77.3Gemini 3.5 Flash

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

Gemini 3.5 Flash

Input$1.50

Output$9.00

Workload$3.30

Context1M

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

More Qwen3.8 Max and Gemini 3.5 Flash comparisons

Explore how Qwen3.8 Max and Gemini 3.5 Flash stack up against other top-ranked LLMs.

Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs Gemini 3.5 Flash Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs Gemini 3.5 Flash GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs Gemini 3.5 Flash Kimi K3 vs Qwen3.8 Max Kimi K3 vs Gemini 3.5 Flash Claude Opus 4.8 vs Qwen3.8 Max Claude Opus 4.8 vs Gemini 3.5 Flash

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.