How do GPT-5.6 Terra and MiniMax-M3 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 Terra and MiniMax-M3 when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs MiniMax-M3: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or MiniMax-M3?

AskClash compares GPT-5.6 Terra and MiniMax-M3 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 Terra 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.

Open live leaderboard GPT-5.6 Terra model page MiniMax-M3 model page

Rank #8 vs #17AskClash overall scores 76.3 vs 59.4.

Pricing $2.50/$15.0 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs MiniMax.

GPT-5.6 Terra vs MiniMax-M3 benchmark comparison

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

Metric	GPT-5.6 Terra	MiniMax-M3
Overall Score	76.3	59.4
Leaderboard Rank	#8	#17
RWT	8.5	8.5
Coding Agent Index	77.0	—
HLE	—	37.1
GPQA	92.9	92.9
IFEval	—	82.9
SWE-bench	—	80.5
SWE-Pro	63.4	59.0
SWE-Atlas	81.0	—
Terminal-Bench	87.4	66.0
DeepSWE	69.6	—
OSWorld	—	70.1
MCP Atlas	—	74.2
Finance Agent	52.4	48.3
MMMU-Pro	80.7	78.1
ARC-AGI 2	83.9	—
Tau2	86.3	88.9
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$0.30
Output Price (per 1M tokens)	$15.0	$1.20
Context Window	1M	1M
Benchmarks Published	13	13

GPT-5.6 Terra vs MiniMax-M3 head-to-head charts

GPT-5.6 Terra leads 5 and MiniMax-M3 leads 1 of 8 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraMiniMax-M3

Overall

76.3GPT-5.6 Terra

59.4MiniMax-M3

RWT

8.5GPT-5.6 Terra

8.5MiniMax-M3

GPQA

92.9GPT-5.6 Terra

92.9MiniMax-M3

SWE-Pro

63.4GPT-5.6 Terra

59.0MiniMax-M3

Terminal-Bench

87.4GPT-5.6 Terra

66.0MiniMax-M3

Finance Agent

52.4GPT-5.6 Terra

48.3MiniMax-M3

MMMU-Pro

80.7GPT-5.6 Terra

78.1MiniMax-M3

Tau2

86.3GPT-5.6 Terra

88.9MiniMax-M3

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

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 GPT-5.6 Terra and MiniMax-M3 comparisons

Explore how GPT-5.6 Terra and MiniMax-M3 stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs MiniMax-M3 GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs MiniMax-M3 Kimi K3 vs GPT-5.6 Terra Kimi K3 vs MiniMax-M3 Claude Opus 4.8 vs GPT-5.6 Terra Claude Opus 4.8 vs MiniMax-M3 Grok 4.5 vs GPT-5.6 Terra Grok 4.5 vs MiniMax-M3

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.