LLM Comparison

GPT-6 Astra vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Claude Opus 4.8 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 #41) and wins 6 of 10 shared benchmarks; Claude Opus 4.8 costs less ($5.00/$25.0 vs $10.0/$50.0 per 1M tokens).

Open live leaderboardGPT-6 Astra model pageClaude Opus 4.8 model page
Rank #8 vs #41AskClash overall scores 70.9 vs 60.0.
Pricing $10.0/$50.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Anthropic.

GPT-6 Astra vs Claude Opus 4.8 benchmark comparison

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

MetricGPT-6 AstraClaude Opus 4.8
Overall Score70.960.0
Leaderboard Rank#8#41
ACB64.560.1
RWT9.59.0
Coding Agent Index67.072.5
HLE57.257.9
GPQA96.093.6
IFEval—62.2
SWE-bench—88.6
SWE-Pro—69.2
SWE-Atlas—82.5
Terminal-Bench59.121.7
DeepSWE73.259.0
GDPval-AA1629.31889.8
OSWorld—83.4
MCP Atlas—82.2
Finance Agent53.553.9
CharXiv—89.9
MMMU-Pro87.0—
ARC-AGI 295.072.1
Tau2—94.4
MRCR100.0—
Input Price (per 1M tokens)$10.0$5.00
Output Price (per 1M tokens)$50.0$25.0
Context Window1.05M1M
Benchmarks Published1316

GPT-6 Astra vs Claude Opus 4.8 head-to-head charts

GPT-6 Astra leads 7 and Claude Opus 4.8 leads 4 of 11 shared benchmarks. Claude Opus 4.8 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraClaude Opus 4.8
Overall
70.9GPT-6 Astra
60.0Claude Opus 4.8
ACB
64.5GPT-6 Astra
60.1Claude Opus 4.8
RWT
9.5GPT-6 Astra
9.0Claude Opus 4.8
Coding Agent Index
67.0GPT-6 Astra
72.5Claude Opus 4.8
HLE
57.2GPT-6 Astra
57.9Claude Opus 4.8
GPQA
96.0GPT-6 Astra
93.6Claude Opus 4.8
Terminal-Bench
59.1GPT-6 Astra
21.7Claude Opus 4.8
DeepSWE
73.2GPT-6 Astra
59.0Claude Opus 4.8
GDPval-AA
1629.3GPT-6 Astra
1889.8Claude Opus 4.8
Finance Agent
53.5GPT-6 Astra
53.9Claude Opus 4.8
ARC-AGI 2
95.0GPT-6 Astra
72.1Claude Opus 4.8
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
Claude Opus 4.8
Input$5.00
Output$25.0
Workload$10
Context1M

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

More GPT-6 Astra and Claude Opus 4.8 comparisons

Explore how GPT-6 Astra and Claude Opus 4.8 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-6 AstraClaude Opus 5.5 vs Claude Opus 4.8Claude Fable 5.1 vs GPT-6 AstraClaude Fable 5.1 vs Claude Opus 4.8Claude Sonnet 5.5 vs GPT-6 AstraClaude Sonnet 5.5 vs Claude Opus 4.8Claude Opus 5 vs GPT-6 AstraClaude Opus 5 vs Claude Opus 4.8Claude Fable 5 vs GPT-6 AstraClaude Fable 5 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.