How do Grok 4.5 and Qwen3.8 Max 0902 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 Qwen3.8 Max 0902 when publicly disclosed.

LLM Comparison

Grok 4.5 vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Q: Which is better: Grok 4.5 or Qwen3.8 Max 0902?

AskClash compares Grok 4.5 and Qwen3.8 Max 0902 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 Grok 4.5 vs Qwen3.8 Max 0902 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 Qwen3.8 Max 0902 model page

Rank #17 vs #27AskClash overall scores 56.5 vs 39.0.

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

Proprietary vs ProprietaryxAI vs Alibaba.

Grok 4.5 vs Qwen3.8 Max 0902 benchmark comparison

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

Metric	Grok 4.5	Qwen3.8 Max 0902
Overall Score	56.5	39.0
Leaderboard Rank	#17	#27
ACB	57.6	—
RWT	9.0	—
Coding Agent Index	76.4	—
HLE	40.3	43.6
GPQA	93.1	92.6
IFEval	—	82.8
SWE-Pro	64.7	67.7
SWE-Atlas	83.9	66.3
Terminal-Bench	83.3	86.6
DeepSWE	—	69.3
GDPval-AA	1542.8	—
OSWorld	—	86.1
Finance Agent	48.3	—
CharXiv	—	88.4
MMMU-Pro	80.4	82.7
ARC-AGI 2	52.6	—
MRCR	—	92.9
Input Price (per 1M tokens)	$2.00	$2.00
Output Price (per 1M tokens)	$6.00	$6.00
Context Window	500K	1M
Benchmarks Published	12	11

Grok 4.5 vs Qwen3.8 Max 0902 head-to-head charts

Grok 4.5 leads 3 and Qwen3.8 Max 0902 leads 4 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Grok 4.5Qwen3.8 Max 0902

Overall

56.5Grok 4.5

39.0Qwen3.8 Max 0902

HLE

40.3Grok 4.5

43.6Qwen3.8 Max 0902

GPQA

93.1Grok 4.5

92.6Qwen3.8 Max 0902

SWE-Pro

64.7Grok 4.5

67.7Qwen3.8 Max 0902

SWE-Atlas

83.9Grok 4.5

66.3Qwen3.8 Max 0902

Terminal-Bench

83.3Grok 4.5

86.6Qwen3.8 Max 0902

MMMU-Pro

80.4Grok 4.5

82.7Qwen3.8 Max 0902

Grok 4.5

Input$2.00

Output$6.00

Workload$3.20

Context500K

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

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.