Which is better: SWE-2 or Qwen3.8 27B?

AskClash compares SWE-2 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.

How do SWE-2 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 SWE-2 and Qwen3.8 27B when publicly disclosed.

LLM Comparison

SWE-2 vs Qwen3.8 27B: benchmark scores, pricing & comparison.

Side-by-side SWE-2 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 SWE-2 model page Qwen3.8 27B model page

Rank #24 vs #28AskClash overall scores 59.7 vs 57.1.

Pricing $0/$0 vs $0.45/$3.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightCognition vs Alibaba.

SWE-2 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	SWE-2	Qwen3.8 27B
Overall Score	59.7	57.1
Leaderboard Rank	#24	#28
ACB	60.0	56.4
RWT	8.5	—
HLE	—	30.8
GPQA	—	89.2
IFEval	—	79.5
SWE-Pro	—	61.7
Terminal-Bench	92.8	73.0
DeepSWE	73.0	42.2
GDPval-AA	—	1463.2
OSWorld	—	84.3
Finance Agent	—	48.6
CharXiv	—	90.2
MMMU-Pro	—	76.3
Input Price (per 1M tokens)	$0	$0.45
Output Price (per 1M tokens)	$0	$3.20
Context Window	256K	262K
Benchmarks Published	3	13

SWE-2 vs Qwen3.8 27B head-to-head charts

SWE-2 leads 4 and Qwen3.8 27B leads 0 of 4 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2Qwen3.8 27B

Overall

59.7SWE-2

57.1Qwen3.8 27B

ACB

60.0SWE-2

56.4Qwen3.8 27B

Terminal-Bench

92.8SWE-2

73.0Qwen3.8 27B

DeepSWE

73.0SWE-2

42.2Qwen3.8 27B

SWE-2

Input$0

Output$0

Workload$0.00

Context256K

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 SWE-2 and Qwen3.8 27B comparisons

Explore how SWE-2 and Qwen3.8 27B stack up against other top-ranked LLMs.

Claude Fable 5.1 vs SWE-2 Claude Fable 5.1 vs Qwen3.8 27B Claude Fable 5 vs SWE-2 Claude Fable 5 vs Qwen3.8 27B Claude Opus 5 vs SWE-2 Claude Opus 5 vs Qwen3.8 27B GPT-5.6 Sol vs SWE-2 GPT-5.6 Sol vs Qwen3.8 27B Qwen3.8 Max vs SWE-2 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.