How do GPT-5.6 Sol and MiniMax M2.5 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Sol and MiniMax M2.5 when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs MiniMax M2.5: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or MiniMax M2.5?

AskClash compares GPT-5.6 Sol and MiniMax M2.5 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Sol 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.

Open live leaderboard GPT-5.6 Sol model page MiniMax M2.5 model page

Rank #3 vs #39AskClash overall scores 84.0 vs 36.0.

Pricing $5.00/$30.0 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs MiniMax.

GPT-5.6 Sol vs MiniMax M2.5 benchmark comparison

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

Metric	GPT-5.6 Sol	MiniMax M2.5
Overall Score	84.0	36.0
Leaderboard Rank	#3	#39
RWT	9.5	—
Coding Agent Index	80.0	—
HLE	47.2	19.1
GPQA	94.1	84.8
IFEval	—	71.6
SWE-bench	—	80.2
SWE-Pro	64.6	55.4
SWE-Atlas	84.0	—
Terminal-Bench	88.8	—
DeepSWE	72.7	—
Finance Agent	53.8	—
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	95.3
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	$0.30
Output Price (per 1M tokens)	$30.0	$1.20
Context Window	1M	128K
Benchmarks Published	15	8

GPT-5.6 Sol vs MiniMax M2.5 head-to-head charts

GPT-5.6 Sol leads 4 and MiniMax M2.5 leads 1 of 5 shared benchmarks. MiniMax M2.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolMiniMax M2.5

Overall

84.0GPT-5.6 Sol

36.0MiniMax M2.5

HLE

47.2GPT-5.6 Sol

19.1MiniMax M2.5

GPQA

94.1GPT-5.6 Sol

84.8MiniMax M2.5

SWE-Pro

64.6GPT-5.6 Sol

55.4MiniMax M2.5

Tau2

85.1GPT-5.6 Sol

95.3MiniMax M2.5

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

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 GPT-5.6 Sol and MiniMax M2.5 comparisons

Explore how GPT-5.6 Sol and MiniMax M2.5 stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Sol Claude Opus 5 vs MiniMax M2.5 Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs MiniMax M2.5 GPT-5.6 Sol vs Claude Opus 4.8 Claude Opus 4.8 vs MiniMax M2.5 GPT-5.6 Sol vs Kimi K3 Kimi K3 vs MiniMax M2.5 GPT-5.6 Sol vs Claude Opus 4.7 Claude Opus 4.7 vs MiniMax M2.5

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.