How do Grok 4.5 and Qwen3.5 397B 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 Qwen3.5 397B when publicly disclosed.

LLM Comparison

Grok 4.5 vs Qwen3.5 397B: benchmark scores, pricing & comparison.

Q: Which is better: Grok 4.5 or Qwen3.5 397B?

AskClash compares Grok 4.5 and Qwen3.5 397B 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 Qwen3.5 397B 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 Qwen3.5 397B model page

Rank #10 vs #26AskClash overall scores 70.1 vs 50.2.

Pricing $2.00/$6.00 vs $0.60/$3.60Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightxAI vs Alibaba.

Grok 4.5 vs Qwen3.5 397B benchmark comparison

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

Metric	Grok 4.5	Qwen3.5 397B
Overall Score	70.1	50.2
Leaderboard Rank	#10	#26
RWT	9.0	—
Coding Agent Index	76.4	—
HLE	40.3	28.7
GPQA	93.1	88.4
IFEval	—	92.6
SWE-bench	—	76.2
SWE-Pro	64.7	—
SWE-Atlas	83.9	—
Terminal-Bench	83.3	—
MCP Atlas	—	46.1
Finance Agent	48.3	—
CharXiv	—	80.8
MMMU-Pro	80.4	79.0
ARC-AGI 2	52.6	—
Tau2	—	95.6
Input Price (per 1M tokens)	$2.00	$0.60
Output Price (per 1M tokens)	$6.00	$3.60
Context Window	500K	128K
Benchmarks Published	12	8

Grok 4.5 vs Qwen3.5 397B head-to-head charts

Grok 4.5 leads 4 and Qwen3.5 397B leads 0 of 4 shared benchmarks. Qwen3.5 397B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.5Qwen3.5 397B

Overall

70.1Grok 4.5

50.2Qwen3.5 397B

HLE

40.3Grok 4.5

28.7Qwen3.5 397B

GPQA

93.1Grok 4.5

88.4Qwen3.5 397B

MMMU-Pro

80.4Grok 4.5

79.0Qwen3.5 397B

Grok 4.5

Input$2.00

Output$6.00

Workload$3.20

Context500K

Qwen3.5 397B

Input$0.60

Output$3.60

Workload$1.32

Context128K

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

More Grok 4.5 and Qwen3.5 397B comparisons

Explore how Grok 4.5 and Qwen3.5 397B stack up against other top-ranked LLMs.

Claude Opus 5 vs Grok 4.5 Claude Opus 5 vs Qwen3.5 397B Claude Fable 5 vs Grok 4.5 Claude Fable 5 vs Qwen3.5 397B GPT-5.6 Sol vs Grok 4.5 GPT-5.6 Sol vs Qwen3.5 397B Claude Opus 4.8 vs Grok 4.5 Claude Opus 4.8 vs Qwen3.5 397B Kimi K3 vs Grok 4.5 Kimi K3 vs Qwen3.5 397B

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.