How do Qwen3.8 Max and GPT-6 Astra 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-6 Astra when publicly disclosed.

LLM Comparison

Qwen3.8 Max vs GPT-6 Astra: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max or GPT-6 Astra?

AskClash compares Qwen3.8 Max and GPT-6 Astra 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-6 Astra 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-6 Astra model page

Rank #5 vs #6AskClash overall scores 71.2 vs 69.7.

Pricing $2.00/$6.00 vs $10.0/$50.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Max vs GPT-6 Astra 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-6 Astra
Overall Score	71.2	69.7
Leaderboard Rank	#5	#6
ACB	69.3	64.5
RWT	—	9.5
Coding Agent Index	61.3	67.0
HLE	43.6	57.2
GPQA	92.6	96.0
IFEval	82.8	—
SWE-Pro	67.7	—
SWE-Atlas	66.3	50.8
Terminal-Bench	86.6	88.4
DeepSWE	69.3	73.2
GDPval-AA	1630.4	1629.3
OSWorld	86.1	—
Finance Agent	50.6	53.5
CharXiv	88.4	—
MMMU-Pro	82.7	87.0
ARC-AGI 2	—	95.0
MRCR	92.9	100.0
Input Price (per 1M tokens)	$2.00	$10.0
Output Price (per 1M tokens)	$6.00	$50.0
Context Window	1M	1.05M
Benchmarks Published	16	13

Qwen3.8 Max vs GPT-6 Astra head-to-head charts

Qwen3.8 Max leads 4 and GPT-6 Astra leads 8 of 12 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-6 Astra

Overall

71.2Qwen3.8 Max

69.7GPT-6 Astra

ACB

69.3Qwen3.8 Max

64.5GPT-6 Astra

Coding Agent Index

61.3Qwen3.8 Max

67.0GPT-6 Astra

HLE

43.6Qwen3.8 Max

57.2GPT-6 Astra

GPQA

92.6Qwen3.8 Max

96.0GPT-6 Astra

SWE-Atlas

66.3Qwen3.8 Max

50.8GPT-6 Astra

Terminal-Bench

86.6Qwen3.8 Max

88.4GPT-6 Astra

DeepSWE

69.3Qwen3.8 Max

73.2GPT-6 Astra

GDPval-AA

1630.4Qwen3.8 Max

1629.3GPT-6 Astra

Finance Agent

50.6Qwen3.8 Max

53.5GPT-6 Astra

MMMU-Pro

82.7Qwen3.8 Max

87.0GPT-6 Astra

MRCR

92.9Qwen3.8 Max

100.0GPT-6 Astra

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

GPT-6 Astra

Input$10.0

Output$50.0

Workload$20

Context1.05M

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

More Qwen3.8 Max and GPT-6 Astra comparisons

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Claude Fable 5.1 vs Qwen3.8 Max Claude Fable 5.1 vs GPT-6 Astra Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs GPT-6 Astra Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs GPT-6 Astra GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs GPT-6 Astra Qwen3.8 Max vs Claude Opus 4.8 GPT-6 Astra vs Claude Opus 4.8

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.