Which is better: GPT-6 Astra or Composer 2.5?

Verdict: GPT-6 Astra ranks higher (#8 vs #54) and wins 3 of 3 shared benchmarks; Composer 2.5 costs less ($0.50/$2.50 vs $10.0/$50.0 per 1M tokens). AskClash compares GPT-6 Astra and Composer 2.5 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.

How do GPT-6 Astra and Composer 2.5 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-6 Astra and Composer 2.5 when publicly disclosed.

LLM Comparison

GPT-6 Astra vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Composer 2.5 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.

Verdict: GPT-6 Astra ranks higher (#8 vs #54) and wins 3 of 3 shared benchmarks; Composer 2.5 costs less ($0.50/$2.50 vs $10.0/$50.0 per 1M tokens).

Open live leaderboard GPT-6 Astra model page Composer 2.5 model page

Rank #8 vs #54AskClash overall scores 70.8 vs 34.6.

Pricing $10.0/$50.0 vs $0.50/$2.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Cursor.

GPT-6 Astra vs Composer 2.5 benchmark comparison

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

Metric	GPT-6 Astra	Composer 2.5
Overall Score	70.8	34.6
Leaderboard Rank	#8	#54
ACB	64.5	53.2
RWT	9.5	8.5
Coding Agent Index	67.0	62.0
HLE	57.2	—
GPQA	96.0	—
SWE-Pro	—	47.0
SWE-Atlas	—	72.0
Terminal-Bench	59.1	—
DeepSWE	73.2	—
GDPval-AA	1629.3	—
Finance Agent	53.5	—
MMMU-Pro	87.0	—
ARC-AGI 2	95.0	—
MRCR	100.0	—
Input Price (per 1M tokens)	$10.0	$0.50
Output Price (per 1M tokens)	$50.0	$2.50
Context Window	1.05M	200K
Benchmarks Published	13	4

GPT-6 Astra vs Composer 2.5 head-to-head charts

GPT-6 Astra leads 4 and Composer 2.5 leads 0 of 4 shared benchmarks. Composer 2.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraComposer 2.5

Overall

70.8GPT-6 Astra

34.6Composer 2.5

ACB

64.5GPT-6 Astra

53.2Composer 2.5

RWT

9.5GPT-6 Astra

8.5Composer 2.5

Coding Agent Index

67.0GPT-6 Astra

62.0Composer 2.5

GPT-6 Astra

Input$10.0

Output$50.0

Workload$20

Context1.05M

Composer 2.5

Input$0.50

Output$2.50

Workload$1.00

Context200K

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

More GPT-6 Astra and Composer 2.5 comparisons

Explore how GPT-6 Astra and Composer 2.5 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-6 Astra Claude Opus 5.5 vs Composer 2.5 Claude Fable 5.1 vs GPT-6 Astra Claude Fable 5.1 vs Composer 2.5 Claude Sonnet 5.5 vs GPT-6 Astra Claude Sonnet 5.5 vs Composer 2.5 Claude Opus 5 vs GPT-6 Astra Claude Opus 5 vs Composer 2.5 Claude Fable 5 vs GPT-6 Astra Claude Fable 5 vs Composer 2.5

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.