How do Qwen3.7 Plus and SWE-1.7 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.7 Plus and SWE-1.7 when publicly disclosed.

LLM Comparison

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

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

AskClash compares Qwen3.7 Plus and SWE-1.7 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.7 Plus vs SWE-1.7 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 Qwen3.7 Plus model page SWE-1.7 model page

Rank #21 vs #46AskClash overall scores 55.7 vs 26.4.

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

Proprietary vs ProprietaryAlibaba vs Cognition.

Qwen3.7 Plus vs SWE-1.7 benchmark comparison

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

Metric	Qwen3.7 Plus	SWE-1.7
Overall Score	55.7	26.4
Leaderboard Rank	#21	#46
RWT	7.5	8.5
HLE	34.7	—
GPQA	90.3	—
IFEval	94.6	—
SWE-bench	77.7	—
SWE-Pro	57.6	—
Terminal-Bench	70.3	81.5
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)	$0.40	$0
Output Price (per 1M tokens)	$1.60	$0
Context Window	1M	256K
Benchmarks Published	15	1

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

Qwen3.7 Plus leads 1 and SWE-1.7 leads 2 of 3 shared benchmarks. SWE-1.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 PlusSWE-1.7

Overall

55.7Qwen3.7 Plus

26.4SWE-1.7

RWT

7.5Qwen3.7 Plus

8.5SWE-1.7

Terminal-Bench

70.3Qwen3.7 Plus

81.5SWE-1.7

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

SWE-1.7

Input$0

Output$0

Workload$0.00

Context256K

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

More Qwen3.7 Plus and SWE-1.7 comparisons

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

Claude Fable 5 vs Qwen3.7 Plus Claude Fable 5 vs SWE-1.7 GPT-5.6 Sol vs Qwen3.7 Plus GPT-5.6 Sol vs SWE-1.7 Kimi K3 vs Qwen3.7 Plus Kimi K3 vs SWE-1.7 Claude Opus 4.8 vs Qwen3.7 Plus Claude Opus 4.8 vs SWE-1.7 Grok 4.5 vs Qwen3.7 Plus Grok 4.5 vs SWE-1.7

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.