How do Qwen3.8 Max 0902 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 0902 and GPT-6 Astra when publicly disclosed.

LLM Comparison

Qwen3.8 Max 0902 vs GPT-6 Astra: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max 0902 or GPT-6 Astra?

AskClash compares Qwen3.8 Max 0902 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 0902 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 0902 model page GPT-6 Astra model page

Rank #7 vs #8AskClash overall scores 64.6 vs 64.5.

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

Proprietary vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Max 0902 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 0902	GPT-6 Astra
Overall Score	64.6	64.5
Leaderboard Rank	#7	#8
RWT	—	9.5
Coding Agent Index	—	67.0
HLE	43.6	57.2
GPQA	92.6	96.0
IFEval	82.8	—
SWE-Pro	67.7	—
SWE-Atlas	66.3	—
Terminal-Bench	86.6	—
DeepSWE	69.3	73.2
OSWorld	86.1	—
CharXiv	88.4	—
MMMU-Pro	82.7	—
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	1M
Benchmarks Published	11	7

Qwen3.8 Max 0902 vs GPT-6 Astra head-to-head charts

Qwen3.8 Max 0902 leads 1 and GPT-6 Astra leads 4 of 5 shared benchmarks. Qwen3.8 Max 0902 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902GPT-6 Astra

Overall

64.6Qwen3.8 Max 0902

64.5GPT-6 Astra

HLE

43.6Qwen3.8 Max 0902

57.2GPT-6 Astra

GPQA

92.6Qwen3.8 Max 0902

96.0GPT-6 Astra

DeepSWE

69.3Qwen3.8 Max 0902

73.2GPT-6 Astra

MRCR

92.9Qwen3.8 Max 0902

100.0GPT-6 Astra

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

Context1M

GPT-6 Astra

Input$10.0

Output$50.0

Workload$20

Context1M

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

More Qwen3.8 Max 0902 and GPT-6 Astra 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.