LLM Comparison

Gemini 4 Argon vs Qwen3.8 27B: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs Qwen3.8 27B 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 #42) and wins 5 of 5 shared benchmarks; Qwen3.8 27B costs less ($0.45/$3.20 vs $2.00/$10.0 per 1M tokens).

Rank #6 vs #42AskClash overall scores 72.2 vs 50.6.
Pricing $2.00/$10.0 vs $0.45/$3.20Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Alibaba.

Gemini 4 Argon vs Qwen3.8 27B benchmark comparison

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

MetricGemini 4 ArgonQwen3.8 27B
Overall Score72.250.6
Leaderboard Rank#6#42
ACB74.856.4
HLE57.130.8
GPQA—89.2
IFEval—79.5
SWE-Pro—61.7
Terminal-Bench57.1—
DeepSWE77.942.2
GDPval-AA1624.01419.9
OSWorld—84.3
Finance Agent65.448.6
CharXiv—90.2
MMMU-Pro—76.3
Input Price (per 1M tokens)$2.00$0.45
Output Price (per 1M tokens)$10.0$3.20
Context Window1M262K
Benchmarks Published912

Gemini 4 Argon vs Qwen3.8 27B head-to-head charts

Gemini 4 Argon leads 6 and Qwen3.8 27B leads 0 of 6 shared benchmarks. Qwen3.8 27B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonQwen3.8 27B
Overall
72.2Gemini 4 Argon
50.6Qwen3.8 27B
ACB
74.8Gemini 4 Argon
56.4Qwen3.8 27B
HLE
57.1Gemini 4 Argon
30.8Qwen3.8 27B
DeepSWE
77.9Gemini 4 Argon
42.2Qwen3.8 27B
GDPval-AA
1624.0Gemini 4 Argon
1419.9Qwen3.8 27B
Finance Agent
65.4Gemini 4 Argon
48.6Qwen3.8 27B
Gemini 4 Argon
Input$2.00
Output$10.0
Workload$4.00
Context1M
Qwen3.8 27B
Input$0.45
Output$3.20
Workload$1.09
Context262K

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

More Gemini 4 Argon and Qwen3.8 27B comparisons

Explore how Gemini 4 Argon and Qwen3.8 27B 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.