LLM Comparison

Claude Fable 5 vs MiMo-V2.5-Pro: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs MiMo-V2.5-Pro 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 #31AskClash overall scores 92.5 vs 45.2.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Xiaomi.

Claude Fable 5 vs MiMo-V2.5-Pro benchmark comparison

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

MetricClaude Fable 5MiMo-V2.5-Pro
Overall Score92.545.2
Leaderboard Rank#2#31
RWT9.0
Coding Agent Index77.2
HLE64.548.0
GPQA94.566.7
IFEval80.3
SWE-bench95.578.9
SWE-Pro80.357.2
SWE-Atlas83.3
Terminal-Bench88.068.4
DeepSWE69.7
OSWorld85.0
Finance Agent56.3
CharXiv93.5
MMMU-Pro92.7
Tau289.294.2
Input Price (per 1M tokens)$10.0
Output Price (per 1M tokens)$50.0
Context Window1M+1M
Benchmarks Published176

Claude Fable 5 vs MiMo-V2.5-Pro head-to-head charts

Claude Fable 5 leads 6 and MiMo-V2.5-Pro leads 1 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5MiMo-V2.5-Pro
Overall
92.5Claude Fable 5
45.2MiMo-V2.5-Pro
HLE
64.5Claude Fable 5
48.0MiMo-V2.5-Pro
GPQA
94.5Claude Fable 5
66.7MiMo-V2.5-Pro
SWE-bench
95.5Claude Fable 5
78.9MiMo-V2.5-Pro
SWE-Pro
80.3Claude Fable 5
57.2MiMo-V2.5-Pro
Terminal-Bench
88.0Claude Fable 5
68.4MiMo-V2.5-Pro
Tau2
89.2Claude Fable 5
94.2MiMo-V2.5-Pro
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
MiMo-V2.5-Pro
Input
Output
Workload
Context1M

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

More Claude Fable 5 and MiMo-V2.5-Pro comparisons

Explore how Claude Fable 5 and MiMo-V2.5-Pro 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.