LLM Comparison

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

Side-by-side Gemini 4 Carbon 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 Carbon ranks higher (#5 vs #42) and wins 3 of 3 shared benchmarks; Qwen3.8 27B costs less ($0.45/$3.20 vs $4.00/$20.0 per 1M tokens).

Rank #5 vs #42AskClash overall scores 73.8 vs 40.8.
Pricing $4.00/$20.0 vs $0.45/$3.20Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Alibaba.

Gemini 4 Carbon 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 CarbonQwen3.8 27B
Overall Score73.840.8
Leaderboard Rank#5#42
ACB80.856.4
Coding Agent Index59.4—
HLE60.430.8
GPQA—89.2
IFEval—79.5
SWE-Pro—61.7
SWE-Atlas63.7—
Terminal-Bench65.2—
DeepSWE—42.2
GDPval-AA1732.71426.7
OSWorld—84.3
Finance Agent67.2—
CharXiv—90.2
MMMU-Pro—76.3
Input Price (per 1M tokens)$4.00$0.45
Output Price (per 1M tokens)$20.0$3.20
Context Window1M262K
Benchmarks Published1011

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

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

Gemini 4 CarbonQwen3.8 27B
Overall
73.8Gemini 4 Carbon
40.8Qwen3.8 27B
ACB
80.8Gemini 4 Carbon
56.4Qwen3.8 27B
HLE
60.4Gemini 4 Carbon
30.8Qwen3.8 27B
GDPval-AA
1732.7Gemini 4 Carbon
1426.7Qwen3.8 27B
Gemini 4 Carbon
Input$4.00
Output$20.0
Workload$8.00
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 Carbon and Qwen3.8 27B comparisons

Explore how Gemini 4 Carbon 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.