LLM Comparison

Claude Fable 5 vs Grok 4.3: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs Grok 4.3 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.

Rank #2 vs #33AskClash overall scores 92.5 vs 43.6.
Pricing $10.0/$50.0 vs $1.25/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs xAI.

Claude Fable 5 vs Grok 4.3 benchmark comparison

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

MetricClaude Fable 5Grok 4.3
Overall Score92.543.6
Leaderboard Rank#2#33
RWT9.06.0
Coding Agent Index77.2
HLE64.535.0
GPQA94.590.1
IFEval80.381.3
SWE-bench95.5
SWE-Pro80.3
SWE-Atlas83.3
Terminal-Bench88.0
DeepSWE69.7
OSWorld85.0
Finance Agent56.337.7
CharXiv93.5
MMMU-Pro92.778.1
Tau289.297.7
Input Price (per 1M tokens)$10.0$1.25
Output Price (per 1M tokens)$50.0$2.50
Context Window1M+1M
Benchmarks Published176

Claude Fable 5 vs Grok 4.3 head-to-head charts

Claude Fable 5 leads 6 and Grok 4.3 leads 2 of 8 shared benchmarks. Grok 4.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5Grok 4.3
Overall
92.5Claude Fable 5
43.6Grok 4.3
RWT
9.0Claude Fable 5
6.0Grok 4.3
HLE
64.5Claude Fable 5
35.0Grok 4.3
GPQA
94.5Claude Fable 5
90.1Grok 4.3
IFEval
80.3Claude Fable 5
81.3Grok 4.3
Finance Agent
56.3Claude Fable 5
37.7Grok 4.3
MMMU-Pro
92.7Claude Fable 5
78.1Grok 4.3
Tau2
89.2Claude Fable 5
97.7Grok 4.3
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
Grok 4.3
Input$1.25
Output$2.50
Workload$1.75
Context1M

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

More Claude Fable 5 and Grok 4.3 comparisons

Explore how Claude Fable 5 and Grok 4.3 stack up against other top-ranked LLMs.

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.