LLM Comparison

Claude Opus 4.7 vs MiniMax M2.5: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.7 vs MiniMax M2.5 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 #6 vs #39AskClash overall scores 76.3 vs 36.0.
Pricing $5.00/$25.0 vs $0.30/$1.20Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs MiniMax.

Claude Opus 4.7 vs MiniMax M2.5 benchmark comparison

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

MetricClaude Opus 4.7MiniMax M2.5
Overall Score76.336.0
Leaderboard Rank#6#39
RWT8.5
Coding Agent Index50.3
HLE54.719.1
GPQA94.284.8
IFEval71.6
SWE-bench87.680.2
SWE-Pro64.355.4
Terminal-Bench69.4
OSWorld78.0
MCP Atlas77.3
Finance Agent64.4
CharXiv91.0
MMMU-Pro75.2
ARC-AGI 275.8
Tau288.695.3
Input Price (per 1M tokens)$5.00$0.30
Output Price (per 1M tokens)$25.0$1.20
Context Window1M128K
Benchmarks Published148

Claude Opus 4.7 vs MiniMax M2.5 head-to-head charts

Claude Opus 4.7 leads 5 and MiniMax M2.5 leads 1 of 6 shared benchmarks. MiniMax M2.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 4.7MiniMax M2.5
Overall
76.3Claude Opus 4.7
36.0MiniMax M2.5
HLE
54.7Claude Opus 4.7
19.1MiniMax M2.5
GPQA
94.2Claude Opus 4.7
84.8MiniMax M2.5
SWE-bench
87.6Claude Opus 4.7
80.2MiniMax M2.5
SWE-Pro
64.3Claude Opus 4.7
55.4MiniMax M2.5
Tau2
88.6Claude Opus 4.7
95.3MiniMax M2.5
Claude Opus 4.7
Input$5.00
Output$25.0
Workload$10
Context1M
MiniMax M2.5
Input$0.30
Output$1.20
Workload$0.54
Context128K

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

More Claude Opus 4.7 and MiniMax M2.5 comparisons

Explore how Claude Opus 4.7 and MiniMax M2.5 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.