How do Qwen3.8 Max 0902 and Grok 4.5 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max 0902 and Grok 4.5 when publicly disclosed.

LLM Comparison

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

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

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

Rank #9 vs #17AskClash overall scores 70.0 vs 61.4.

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

Proprietary vs ProprietaryAlibaba vs xAI.

Qwen3.8 Max 0902 vs Grok 4.5 benchmark comparison

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

Metric	Qwen3.8 Max 0902	Grok 4.5
Overall Score	70.0	61.4
Leaderboard Rank	#9	#17
ACB	59.0	57.6
RWT	—	9.0
Coding Agent Index	—	76.4
HLE	43.6	40.3
GPQA	92.6	93.1
IFEval	82.8	—
SWE-Pro	67.7	64.7
SWE-Atlas	66.3	83.9
Terminal-Bench	86.6	83.3
DeepSWE	69.3	—
GDPval-AA	—	1542.8
OSWorld	86.1	—
Finance Agent	—	48.3
CharXiv	88.4	—
MMMU-Pro	82.7	80.4
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	1M	500K
Benchmarks Published	12	12

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

Qwen3.8 Max 0902 leads 6 and Grok 4.5 leads 2 of 8 shared benchmarks. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902Grok 4.5

Overall

70.0Qwen3.8 Max 0902

61.4Grok 4.5

ACB

59.0Qwen3.8 Max 0902

57.6Grok 4.5

HLE

43.6Qwen3.8 Max 0902

40.3Grok 4.5

GPQA

92.6Qwen3.8 Max 0902

93.1Grok 4.5

SWE-Pro

67.7Qwen3.8 Max 0902

64.7Grok 4.5

SWE-Atlas

66.3Qwen3.8 Max 0902

83.9Grok 4.5

Terminal-Bench

86.6Qwen3.8 Max 0902

83.3Grok 4.5

MMMU-Pro

82.7Qwen3.8 Max 0902

80.4Grok 4.5

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

Context1M

Grok 4.5

Input$2.00

Output$6.00

Workload$3.20

Context500K

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

More Qwen3.8 Max 0902 and Grok 4.5 comparisons

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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.