LLM Comparison

Claude Fable 5.2 vs MiniMax-M3: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.2 vs MiniMax-M3 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 5.2 ranks higher (#1 vs #49) and wins 4 of 4 shared benchmarks; MiniMax-M3 costs less ($0.30/$1.20 vs $8.00/$40.0 per 1M tokens).

Rank #1 vs #49AskClash overall scores 81.6 vs 32.5.
Pricing $8.00/$40.0 vs $0.30/$1.20Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs MiniMax.

Claude Fable 5.2 vs MiniMax-M3 benchmark comparison

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

MetricClaude Fable 5.2MiniMax-M3
Overall Score81.632.5
Leaderboard Rank#1#49
ACB91.429.8
RWT—8.5
HLE74.237.1
GPQA—92.9
IFEval—82.9
SWE-bench—80.5
SWE-Pro93.059.0
Terminal-Bench59.6—
DeepSWE74.3—
GDPval-AA1831.058.4
OSWorld—70.1
MCP Atlas—74.2
MMMU-Pro—78.6
Tau2—88.9
Input Price (per 1M tokens)$8.00$0.30
Output Price (per 1M tokens)$40.0$1.20
Context Window1M1M
Benchmarks Published910

Claude Fable 5.2 vs MiniMax-M3 head-to-head charts

Claude Fable 5.2 leads 5 and MiniMax-M3 leads 0 of 5 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5.2MiniMax-M3
Overall
81.6Claude Fable 5.2
32.5MiniMax-M3
ACB
91.4Claude Fable 5.2
29.8MiniMax-M3
HLE
74.2Claude Fable 5.2
37.1MiniMax-M3
SWE-Pro
93.0Claude Fable 5.2
59.0MiniMax-M3
GDPval-AA
1831.0Claude Fable 5.2
58.4MiniMax-M3
Claude Fable 5.2
Input$8.00
Output$40.0
Workload$16
Context1M
MiniMax-M3
Input$0.30
Output$1.20
Workload$0.54
Context1M

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

More Claude Fable 5.2 and MiniMax-M3 comparisons

Explore how Claude Fable 5.2 and MiniMax-M3 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.