Which is better: GPT-6 Astra or Claude Haiku 5.5?

Verdict: GPT-6 Astra ranks higher (#7 vs #16) and wins 3 of 4 shared benchmarks; Claude Haiku 5.5 costs less ($0.10/$0.50 vs $10.0/$50.0 per 1M tokens). AskClash compares GPT-6 Astra and Claude Haiku 5.5 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 Claude Haiku 5.5 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 Claude Haiku 5.5 when publicly disclosed.

LLM Comparison

GPT-6 Astra vs Claude Haiku 5.5: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Claude Haiku 5.5 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 (#7 vs #16) and wins 3 of 4 shared benchmarks; Claude Haiku 5.5 costs less ($0.10/$0.50 vs $10.0/$50.0 per 1M tokens).

Open live leaderboard GPT-6 Astra model page Claude Haiku 5.5 model page

Rank #7 vs #16AskClash overall scores 71.3 vs 60.0.

Pricing $10.0/$50.0 vs $0.10/$0.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Anthropic.

GPT-6 Astra vs Claude Haiku 5.5 benchmark comparison

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

Metric	GPT-6 Astra	Claude Haiku 5.5
Overall Score	71.3	60.0
Leaderboard Rank	#7	#16
ACB	64.5	63.5
RWT	9.5	—
Coding Agent Index	67.0	—
HLE	57.2	57.4
GPQA	96.0	—
SWE-Pro	—	64.8
SWE-Atlas	61.8	—
Terminal-Bench	59.1	32.8
DeepSWE	73.2	—
GDPval-AA	1629.3	1620.0
Finance Agent	53.5	—
MMMU-Pro	87.0	—
ARC-AGI 2	95.0	—
MRCR	100.0	—
Input Price (per 1M tokens)	$10.0	$0.10
Output Price (per 1M tokens)	$50.0	$0.50
Context Window	1.05M	1M
Benchmarks Published	14	8

GPT-6 Astra vs Claude Haiku 5.5 head-to-head charts

GPT-6 Astra leads 4 and Claude Haiku 5.5 leads 1 of 5 shared benchmarks. Claude Haiku 5.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraClaude Haiku 5.5

Overall

71.3GPT-6 Astra

60.0Claude Haiku 5.5

ACB

64.5GPT-6 Astra

63.5Claude Haiku 5.5

HLE

57.2GPT-6 Astra

57.4Claude Haiku 5.5

Terminal-Bench

59.1GPT-6 Astra

32.8Claude Haiku 5.5

GDPval-AA

1629.3GPT-6 Astra

1620.0Claude Haiku 5.5

GPT-6 Astra

Input$10.0

Output$50.0

Workload$20

Context1.05M

Claude Haiku 5.5

Input$0.10

Output$0.50

Workload$0.20

Context1M

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

More GPT-6 Astra and Claude Haiku 5.5 comparisons

Explore how GPT-6 Astra and Claude Haiku 5.5 stack up against other top-ranked LLMs.

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

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.