How do Qwen3.8 Max and GPT-5.4 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 and GPT-5.4 when publicly disclosed.

LLM Comparison

Qwen3.8 Max vs GPT-5.4: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max or GPT-5.4?

AskClash compares Qwen3.8 Max and GPT-5.4 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 vs GPT-5.4 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 model page GPT-5.4 model page

Rank #7 vs #27AskClash overall scores 74.4 vs 50.2.

Pricing $2.00/$6.00 vs $2.50/$15.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Max vs GPT-5.4 benchmark comparison

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

Metric	Qwen3.8 Max	GPT-5.4
Overall Score	74.4	50.2
Leaderboard Rank	#7	#27
ACB	59.0	—
RWT	—	8.0
HLE	43.6	52.1
GPQA	92.6	92.8
IFEval	82.8	—
SWE-Pro	67.7	57.7
Terminal-Bench	86.6	75.1
DeepSWE	56.6	51.8
OSWorld	86.1	75.0
MCP Atlas	—	70.6
Finance Agent	50.6	—
CharXiv	88.4	82.8
MMMU-Pro	82.3	81.2
ARC-AGI 2	—	74.0
Tau2	—	98.9
MRCR	92.9	97.3
Input Price (per 1M tokens)	$2.00	$2.50
Output Price (per 1M tokens)	$6.00	$15.0
Context Window	1M	1M
Benchmarks Published	12	14

Qwen3.8 Max vs GPT-5.4 head-to-head charts

Qwen3.8 Max leads 7 and GPT-5.4 leads 3 of 10 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxGPT-5.4

Overall

74.4Qwen3.8 Max

50.2GPT-5.4

HLE

43.6Qwen3.8 Max

52.1GPT-5.4

GPQA

92.6Qwen3.8 Max

92.8GPT-5.4

SWE-Pro

67.7Qwen3.8 Max

57.7GPT-5.4

Terminal-Bench

86.6Qwen3.8 Max

75.1GPT-5.4

DeepSWE

56.6Qwen3.8 Max

51.8GPT-5.4

OSWorld

86.1Qwen3.8 Max

75.0GPT-5.4

CharXiv

88.4Qwen3.8 Max

82.8GPT-5.4

MMMU-Pro

82.3Qwen3.8 Max

81.2GPT-5.4

MRCR

92.9Qwen3.8 Max

97.3GPT-5.4

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

GPT-5.4

Input$2.50

Output$15.0

Workload$5.50

Context1M

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

More Qwen3.8 Max and GPT-5.4 comparisons

Explore how Qwen3.8 Max and GPT-5.4 stack up against other top-ranked LLMs.

Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs GPT-5.4 Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs GPT-5.4 GLM-5.3 vs Qwen3.8 Max GLM-5.3 vs GPT-5.4 Grok 4.6 vs Qwen3.8 Max Grok 4.6 vs GPT-5.4 GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs GPT-5.4

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.