Which is better: GPT-6.1 Terra or MiniMax-M3?

Verdict: GPT-6.1 Terra ranks higher (#35 vs #126) and wins 4 of 4 shared benchmarks; MiniMax-M3 costs less ($0.30/$1.20 vs $1.00/$5.00 per 1M tokens). AskClash compares GPT-6.1 Terra and MiniMax-M3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-6.1 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-6.1 Terra and MiniMax-M3 when publicly disclosed.

LLM Comparison

GPT-6.1 Terra vs MiniMax-M3: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 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.

Verdict: GPT-6.1 Terra ranks higher (#35 vs #126) and wins 4 of 4 shared benchmarks; MiniMax-M3 costs less ($0.30/$1.20 vs $1.00/$5.00 per 1M tokens).

Open live leaderboard GPT-6.1 Terra model page MiniMax-M3 model page

Rank #35 vs #126AskClash overall scores 61.7 vs 38.2.

Pricing $1.00/$5.00 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs MiniMax.

GPT-6.1 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-6.1 Terra	MiniMax-M3
Overall Score	61.7	38.2
Leaderboard Rank	#35	#126
ACB	62.1	29.8
RWT	—	8.5
HLE	46.2	37.1
GPQA	—	92.9
IFEval	—	82.9
SWE-bench	—	80.5
SWE-Pro	—	59.0
Terminal-Bench	55.6	—
GDPval-AA	1467.6	58.4
OSWorld	—	70.1
MCP Atlas	—	74.2
Finance Agent	—	48.3
MMMU-Pro	84.7	78.1
Tau2	—	88.9
Input Price (per 1M tokens)	$1.00	$0.30
Output Price (per 1M tokens)	$5.00	$1.20
Context Window	1.05M	1M
Benchmarks Published	8	11

GPT-6.1 Terra vs MiniMax-M3 head-to-head charts

GPT-6.1 Terra 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.

GPT-6.1 TerraMiniMax-M3

Overall

61.7GPT-6.1 Terra

38.2MiniMax-M3

ACB

62.1GPT-6.1 Terra

29.8MiniMax-M3

HLE

46.2GPT-6.1 Terra

37.1MiniMax-M3

GDPval-AA

1467.6GPT-6.1 Terra

58.4MiniMax-M3

MMMU-Pro

84.7GPT-6.1 Terra

78.1MiniMax-M3

GPT-6.1 Terra

Input$1.00

Output$5.00

Workload$2.00

Context1.05M

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-6.1 Terra and MiniMax-M3 comparisons

Explore how GPT-6.1 Terra and MiniMax-M3 stack up against other top-ranked LLMs.

Kimi K3.1 Pro vs GPT-6.1 Terra Kimi K3.1 Pro vs MiniMax-M3 Claude Opus 5.5 vs GPT-6.1 Terra Claude Opus 5.5 vs MiniMax-M3 Claude Fable 5.1 vs GPT-6.1 Terra Claude Fable 5.1 vs MiniMax-M3 Claude Sonnet 5.5 vs GPT-6.1 Terra Claude Sonnet 5.5 vs MiniMax-M3 Claude Opus 5 vs GPT-6.1 Terra Claude Opus 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.