How do Grok 4.5 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 Grok 4.5 and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

Grok 4.5 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Q: Which is better: Grok 4.5 or Qwen3.7 Plus?

AskClash compares Grok 4.5 and Qwen3.7 Plus 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 Grok 4.5 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 Grok 4.5 model page Qwen3.7 Plus model page

Rank #5 vs #21AskClash overall scores 78.3 vs 55.7.

Pricing $2.00/$6.00 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryxAI vs Alibaba.

Grok 4.5 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	Grok 4.5	Qwen3.7 Plus
Overall Score	78.3	55.7
Leaderboard Rank	#5	#21
RWT	9.0	7.5
Coding Agent Index	76.4	—
HLE	40.3	34.7
GPQA	93.1	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	64.7	57.6
SWE-Atlas	83.9	—
Terminal-Bench	83.3	70.3
OSWorld	—	73.3
MCP Atlas	—	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	80.4	79.0
Tau2	—	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$2.00	$0.40
Output Price (per 1M tokens)	$6.00	$1.60
Context Window	500K	1M
Benchmarks Published	9	15

Grok 4.5 vs Qwen3.7 Plus head-to-head charts

Grok 4.5 leads 7 and Qwen3.7 Plus leads 0 of 7 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.5Qwen3.7 Plus

Overall

78.3Grok 4.5

55.7Qwen3.7 Plus

RWT

9.0Grok 4.5

7.5Qwen3.7 Plus

HLE

40.3Grok 4.5

34.7Qwen3.7 Plus

GPQA

93.1Grok 4.5

90.3Qwen3.7 Plus

SWE-Pro

64.7Grok 4.5

57.6Qwen3.7 Plus

Terminal-Bench

83.3Grok 4.5

70.3Qwen3.7 Plus

MMMU-Pro

80.4Grok 4.5

79.0Qwen3.7 Plus

Grok 4.5

Input$2.00

Output$6.00

Workload$3.20

Context500K

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.

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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.