How do SWE-1.7 and Qwen3.7 Plus 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-1.7 and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

SWE-1.7 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Q: Which is better: SWE-1.7 or Qwen3.7 Plus?

AskClash compares SWE-1.7 and Qwen3.7 Plus 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 SWE-1.7 vs Qwen3.7 Plus 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-1.7 model page Qwen3.7 Plus model page

Rank #35 vs #41AskClash overall scores 30.7 vs 24.9.

Pricing $0/$0 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryCognition vs Alibaba.

SWE-1.7 vs Qwen3.7 Plus benchmark comparison

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

Metric	SWE-1.7	Qwen3.7 Plus
Overall Score	30.7	24.9
Leaderboard Rank	#35	#41
RWT	8.5	7.5
HLE	—	34.7
GPQA	—	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	—	57.6
Terminal-Bench	81.5	70.3
GDPval-AA	—	1522.1
OSWorld	—	73.3
MCP Atlas	—	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	—	79.0
Tau2	—	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$0	$0.40
Output Price (per 1M tokens)	$0	$1.60
Context Window	256K	1M
Benchmarks Published	1	15

SWE-1.7 vs Qwen3.7 Plus head-to-head charts

SWE-1.7 leads 3 and Qwen3.7 Plus leads 0 of 3 shared benchmarks. SWE-1.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-1.7Qwen3.7 Plus

Overall

30.7SWE-1.7

24.9Qwen3.7 Plus

RWT

8.5SWE-1.7

7.5Qwen3.7 Plus

Terminal-Bench

81.5SWE-1.7

70.3Qwen3.7 Plus

SWE-1.7

Input$0

Output$0

Workload$0.00

Context256K

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

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

More SWE-1.7 and Qwen3.7 Plus comparisons

Explore how SWE-1.7 and Qwen3.7 Plus stack up against other top-ranked LLMs.

Claude Fable 5.1 vs SWE-1.7 Claude Fable 5.1 vs Qwen3.7 Plus Claude Fable 5 vs SWE-1.7 Claude Fable 5 vs Qwen3.7 Plus GPT-5.6 Sol vs SWE-1.7 GPT-5.6 Sol vs Qwen3.7 Plus Claude Opus 5 vs SWE-1.7 Claude Opus 5 vs Qwen3.7 Plus Grok 4.6 vs SWE-1.7 Grok 4.6 vs Qwen3.7 Plus

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.