Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-6 Astra vs Claude Sonnet 4.6: benchmark scores, pricing & comparison.
Side-by-side GPT-6 Astra vs Claude Sonnet 4.6 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 #54) and wins 7 of 7 shared benchmarks; Claude Sonnet 4.6 costs less ($3.00/$15.0 vs $10.0/$50.0 per 1M tokens).
Rank #7 vs #54AskClash overall scores 71.3 vs 31.9.
Pricing $10.0/$50.0 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Anthropic.
GPT-6 Astra vs Claude Sonnet 4.6 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 Sonnet 4.6 |
|---|---|---|
| Overall Score | 71.3 | 31.9 |
| Leaderboard Rank | #7 | #54 |
| ACB | 64.5 | — |
| RWT | 9.5 | 6.0 |
| Coding Agent Index | 67.0 | — |
| HLE | 57.2 | 49.0 |
| GPQA | 96.0 | 89.9 |
| IFEval | — | 41.2 |
| SWE-bench | — | 80.2 |
| SWE-Atlas | 61.8 | — |
| Terminal-Bench | 59.1 | — |
| DeepSWE | 73.2 | 29.9 |
| GDPval-AA | 1629.3 | — |
| Finance Agent | 53.5 | 51.0 |
| CharXiv | — | 77.4 |
| MMMU-Pro | 87.0 | 75.6 |
| ARC-AGI 2 | 95.0 | 58.3 |
| Tau2 | — | 79.5 |
| MRCR | 100.0 | — |
| Input Price (per 1M tokens) | $10.0 | $3.00 |
| Output Price (per 1M tokens) | $50.0 | $15.0 |
| Context Window | 1.05M | 200K |
| Benchmarks Published | 14 | 9 |
GPT-6 Astra vs Claude Sonnet 4.6 head-to-head charts
GPT-6 Astra leads 8 and Claude Sonnet 4.6 leads 0 of 8 shared benchmarks. Claude Sonnet 4.6 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-6 AstraClaude Sonnet 4.6
Overall
RWT
HLE
GPQA
DeepSWE
Finance Agent
MMMU-Pro
ARC-AGI 2
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
Claude Sonnet 4.6
Input$3.00
Output$15.0
Workload$6.00
Context200K
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-6 Astra and Claude Sonnet 4.6 comparisons
Explore how GPT-6 Astra and Claude Sonnet 4.6 stack up against other top-ranked LLMs.
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How to read this comparison
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.