Which is better: GPT-6 Astra or Qwen3.8 27B?

Verdict: GPT-6 Astra ranks higher (#8 vs #42) and wins 7 of 7 shared benchmarks; Qwen3.8 27B costs less ($0.45/$3.20 vs $10.0/$50.0 per 1M tokens). AskClash compares GPT-6 Astra and Qwen3.8 27B 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.

How do GPT-6 Astra and Qwen3.8 27B compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-6 Astra and Qwen3.8 27B when publicly disclosed.

LLM Comparison

GPT-6 Astra vs Qwen3.8 27B: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Qwen3.8 27B 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.

Verdict: GPT-6 Astra ranks higher (#8 vs #42) and wins 7 of 7 shared benchmarks; Qwen3.8 27B costs less ($0.45/$3.20 vs $10.0/$50.0 per 1M tokens).

Open live leaderboard GPT-6 Astra model page Qwen3.8 27B model page

Rank #8 vs #42AskClash overall scores 70.8 vs 50.6.

Pricing $10.0/$50.0 vs $0.45/$3.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Alibaba.

GPT-6 Astra vs Qwen3.8 27B benchmark comparison

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

Metric	GPT-6 Astra	Qwen3.8 27B
Overall Score	70.8	50.6
Leaderboard Rank	#8	#42
ACB	64.5	56.4
RWT	9.5	—
Coding Agent Index	67.0	—
HLE	57.2	30.8
GPQA	96.0	89.2
IFEval	—	79.5
SWE-Pro	—	61.7
Terminal-Bench	59.1	—
DeepSWE	73.2	42.2
GDPval-AA	1629.3	1419.9
OSWorld	—	84.3
Finance Agent	53.5	48.6
CharXiv	—	90.2
MMMU-Pro	87.0	76.3
ARC-AGI 2	95.0	—
MRCR	100.0	—
Input Price (per 1M tokens)	$10.0	$0.45
Output Price (per 1M tokens)	$50.0	$3.20
Context Window	1.05M	262K
Benchmarks Published	13	12

GPT-6 Astra vs Qwen3.8 27B head-to-head charts

GPT-6 Astra leads 8 and Qwen3.8 27B leads 0 of 8 shared benchmarks. Qwen3.8 27B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraQwen3.8 27B

Overall

70.8GPT-6 Astra

50.6Qwen3.8 27B

ACB

64.5GPT-6 Astra

56.4Qwen3.8 27B

HLE

57.2GPT-6 Astra

30.8Qwen3.8 27B

GPQA

96.0GPT-6 Astra

89.2Qwen3.8 27B

DeepSWE

73.2GPT-6 Astra

42.2Qwen3.8 27B

GDPval-AA

1629.3GPT-6 Astra

1419.9Qwen3.8 27B

Finance Agent

53.5GPT-6 Astra

48.6Qwen3.8 27B

MMMU-Pro

87.0GPT-6 Astra

76.3Qwen3.8 27B

GPT-6 Astra

Input$10.0

Output$50.0

Workload$20

Context1.05M

Qwen3.8 27B

Input$0.45

Output$3.20

Workload$1.09

Context262K

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

More GPT-6 Astra and Qwen3.8 27B comparisons

Explore how GPT-6 Astra and Qwen3.8 27B stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-6 Astra Claude Opus 5.5 vs Qwen3.8 27B Claude Fable 5.1 vs GPT-6 Astra Claude Fable 5.1 vs Qwen3.8 27B Claude Sonnet 5.5 vs GPT-6 Astra Claude Sonnet 5.5 vs Qwen3.8 27B Claude Opus 5 vs GPT-6 Astra Claude Opus 5 vs Qwen3.8 27B Claude Fable 5 vs GPT-6 Astra Claude Fable 5 vs Qwen3.8 27B

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.