How do GPT-5.6 Sol and Qwen3.8 27B compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Sol and Qwen3.8 27B when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs Qwen3.8 27B: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or Qwen3.8 27B?

AskClash compares GPT-5.6 Sol and Qwen3.8 27B 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.

Side-by-side GPT-5.6 Sol 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.

Open live leaderboard GPT-5.6 Sol model page Qwen3.8 27B model page

Rank #4 vs #17AskClash overall scores 78.9 vs 57.0.

Pricing $5.00/$30.0 vs $0.45/$3.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Alibaba.

GPT-5.6 Sol vs Qwen3.8 27B benchmark comparison

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

Metric	GPT-5.6 Sol	Qwen3.8 27B
Overall Score	78.9	57.0
Leaderboard Rank	#4	#17
ACB	63.2	56.4
RWT	9.5	—
Coding Agent Index	80.0	—
HLE	47.2	30.8
GPQA	94.1	89.2
IFEval	—	79.5
SWE-Pro	64.6	61.7
SWE-Atlas	84.0	—
Terminal-Bench	88.8	73.0
DeepSWE	72.7	42.2
OSWorld	—	84.3
Finance Agent	53.8	—
CharXiv	—	90.2
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	—
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	$0.45
Output Price (per 1M tokens)	$30.0	$3.20
Context Window	1M	262K
Benchmarks Published	15	9

GPT-5.6 Sol vs Qwen3.8 27B head-to-head charts

GPT-5.6 Sol leads 7 and Qwen3.8 27B leads 0 of 7 shared benchmarks. Qwen3.8 27B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolQwen3.8 27B

Overall

78.9GPT-5.6 Sol

57.0Qwen3.8 27B

ACB

63.2GPT-5.6 Sol

56.4Qwen3.8 27B

HLE

47.2GPT-5.6 Sol

30.8Qwen3.8 27B

GPQA

94.1GPT-5.6 Sol

89.2Qwen3.8 27B

SWE-Pro

64.6GPT-5.6 Sol

61.7Qwen3.8 27B

Terminal-Bench

88.8GPT-5.6 Sol

73.0Qwen3.8 27B

DeepSWE

72.7GPT-5.6 Sol

42.2Qwen3.8 27B

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

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 GPT-5.6 Sol and Qwen3.8 27B comparisons

Explore how GPT-5.6 Sol and Qwen3.8 27B stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Sol Claude Opus 5 vs Qwen3.8 27B Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs Qwen3.8 27B Grok 4.6 vs GPT-5.6 Sol Grok 4.6 vs Qwen3.8 27B GPT-5.6 Sol vs Kimi K3 Kimi K3 vs Qwen3.8 27B GPT-5.6 Sol vs Qwen3.8 Max Qwen3.8 Max vs Qwen3.8 27B

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.