Which is better: Gemini 4 Argon or Qwen3.8 Max?

Verdict: Gemini 4 Argon ranks higher (#6 vs #11) and wins 5 of 6 shared benchmarks; Qwen3.8 Max costs less ($2.00/$6.00 vs $2.00/$10.0 per 1M tokens). AskClash compares Gemini 4 Argon and Qwen3.8 Max side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Gemini 4 Argon and Qwen3.8 Max compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Gemini 4 Argon and Qwen3.8 Max when publicly disclosed.

LLM Comparison

Gemini 4 Argon vs Qwen3.8 Max: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs Qwen3.8 Max 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: Gemini 4 Argon ranks higher (#6 vs #11) and wins 5 of 6 shared benchmarks; Qwen3.8 Max costs less ($2.00/$6.00 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard Gemini 4 Argon model page Qwen3.8 Max model page

Rank #6 vs #11AskClash overall scores 72.2 vs 65.3.

Pricing $2.00/$10.0 vs $2.00/$6.00Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightGoogle vs Alibaba.

Gemini 4 Argon vs Qwen3.8 Max benchmark comparison

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

Metric	Gemini 4 Argon	Qwen3.8 Max
Overall Score	72.2	65.3
Leaderboard Rank	#6	#11
ACB	74.8	69.3
HLE	57.1	43.6
GPQA	—	92.6
IFEval	—	82.8
SWE-Pro	—	67.7
SWE-Atlas	—	66.3
Terminal-Bench	57.1	38.9
DeepSWE	77.9	69.3
GDPval-AA	1624.0	1665.6
OSWorld	—	86.1
Finance Agent	65.4	50.6
CharXiv	—	88.4
MMMU-Pro	—	82.7
MRCR	—	92.9
Input Price (per 1M tokens)	$2.00	$2.00
Output Price (per 1M tokens)	$10.0	$6.00
Context Window	1M	1M
Benchmarks Published	9	14

Gemini 4 Argon vs Qwen3.8 Max head-to-head charts

Gemini 4 Argon leads 6 and Qwen3.8 Max leads 1 of 7 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonQwen3.8 Max

Overall

72.2Gemini 4 Argon

65.3Qwen3.8 Max

ACB

74.8Gemini 4 Argon

69.3Qwen3.8 Max

HLE

57.1Gemini 4 Argon

43.6Qwen3.8 Max

Terminal-Bench

57.1Gemini 4 Argon

38.9Qwen3.8 Max

DeepSWE

77.9Gemini 4 Argon

69.3Qwen3.8 Max

GDPval-AA

1624.0Gemini 4 Argon

1665.6Qwen3.8 Max

Finance Agent

65.4Gemini 4 Argon

50.6Qwen3.8 Max

Gemini 4 Argon

Input$2.00

Output$10.0

Workload$4.00

Context1M

Qwen3.8 Max

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 4 Argon and Qwen3.8 Max comparisons

Explore how Gemini 4 Argon and Qwen3.8 Max stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Gemini 4 Argon Claude Opus 5.5 vs Qwen3.8 Max Claude Fable 5.1 vs Gemini 4 Argon Claude Fable 5.1 vs Qwen3.8 Max Claude Sonnet 5.5 vs Gemini 4 Argon Claude Sonnet 5.5 vs Qwen3.8 Max Claude Opus 5 vs Gemini 4 Argon Claude Opus 5 vs Qwen3.8 Max Claude Fable 5 vs Gemini 4 Argon Claude Fable 5 vs Qwen3.8 Max

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.