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
Claude Fable 5 vs GPT-5.6 Terra: benchmark scores, pricing & comparison.
Side-by-side Claude Fable 5 vs GPT-5.6 Terra 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: Claude Fable 5 ranks higher (#5 vs #13) and wins 15 of 15 shared benchmarks; GPT-5.6 Terra costs less ($2.50/$15.0 vs $10.0/$50.0 per 1M tokens).
Rank #5 vs #13AskClash overall scores 74.3 vs 61.4.
Pricing $10.0/$50.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.
Claude Fable 5 vs GPT-5.6 Terra benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Claude Fable 5 | GPT-5.6 Terra |
|---|---|---|
| Overall Score | 74.3 | 61.4 |
| Leaderboard Rank | #5 | #13 |
| ACB | 64.6 | 56.4 |
| RWT | 9.0 | 8.5 |
| Coding Agent Index | 77.2 | 77.0 |
| HLE | 64.5 | 42.9 |
| GPQA | 94.5 | 92.9 |
| IFEval | 80.3 | 71.2 |
| SWE-bench | 95.5 | — |
| SWE-Pro | 80.3 | 63.4 |
| SWE-Atlas | 83.3 | 81.0 |
| Terminal-Bench | 42.4 | 35.4 |
| DeepSWE | 69.7 | 69.6 |
| GDPval-AA | 1932.5 | 1593.0 |
| OSWorld | 85.0 | — |
| Finance Agent | 56.3 | 54.4 |
| CharXiv | 93.5 | — |
| MMMU-Pro | 89.3 | 80.7 |
| ARC-AGI 2 | 89.2 | 83.9 |
| Tau2 | 89.2 | 86.3 |
| MRCR | — | 89.6 |
| Input Price (per 1M tokens) | $10.0 | $2.50 |
| Output Price (per 1M tokens) | $50.0 | $15.0 |
| Context Window | 1M+ | 1M |
| Benchmarks Published | 16 | 15 |
Claude Fable 5 vs GPT-5.6 Terra head-to-head charts
Claude Fable 5 leads 16 and GPT-5.6 Terra leads 0 of 16 shared benchmarks. GPT-5.6 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Claude Fable 5GPT-5.6 Terra
Overall
ACB
RWT
Coding Agent Index
HLE
GPQA
IFEval
SWE-Pro
SWE-Atlas
Terminal-Bench
DeepSWE
GDPval-AA
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Claude Fable 5 and GPT-5.6 Terra comparisons
Explore how Claude Fable 5 and GPT-5.6 Terra stack up against other top-ranked LLMs.
Claude Opus 5.5 vs Claude Fable 5Claude Opus 5.5 vs GPT-5.6 TerraClaude Fable 5.1 vs Claude Fable 5Claude Fable 5.1 vs GPT-5.6 TerraClaude Opus 5 vs Claude Fable 5Claude Opus 5 vs GPT-5.6 TerraClaude Sonnet 5.5 vs Claude Fable 5Claude Sonnet 5.5 vs GPT-5.6 TerraClaude Fable 5 vs GPT-6.1 SolGPT-6.1 Sol vs GPT-5.6 Terra
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.