LLM Comparison

Claude Fable 5.1 vs Ling 3.1 Flash: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.1 vs Ling 3.1 Flash 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 5.1 ranks higher (#2 vs #25) and wins 2 of 2 shared benchmarks.

Rank #2 vs #25AskClash overall scores 77.5 vs 57.5.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs InclusionAI.

Claude Fable 5.1 vs Ling 3.1 Flash benchmark comparison

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

MetricClaude Fable 5.1Ling 3.1 Flash
Overall Score77.557.5
Leaderboard Rank#2#25
ACB79.2—
RWT9.0—
Coding Agent Index62.2—
HLE65.037.4
GPQA93.7—
SWE-Pro81.2—
SWE-Atlas64.8—
Terminal-Bench52.0—
DeepSWE67.4—
GDPval-AA1853.01617.9
MCP Atlas—83.0
Finance Agent58.9—
MMMU-Pro90.6—
ARC-AGI 290.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1M262K
Benchmarks Published156

Claude Fable 5.1 vs Ling 3.1 Flash head-to-head charts

Claude Fable 5.1 leads 3 and Ling 3.1 Flash leads 0 of 3 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5.1Ling 3.1 Flash
Overall
77.5Claude Fable 5.1
57.5Ling 3.1 Flash
HLE
65.0Claude Fable 5.1
37.4Ling 3.1 Flash
GDPval-AA
1853.0Claude Fable 5.1
1617.9Ling 3.1 Flash
Claude Fable 5.1
Input$10.0
Output$50.0
Workload$20
Context1M
Ling 3.1 Flash
Input—
Output—
Workload—
Context262K

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

More Claude Fable 5.1 and Ling 3.1 Flash comparisons

Explore how Claude Fable 5.1 and Ling 3.1 Flash 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.