GPT-6.1 Terra vs MiniMax M3.1 Flash

GPT-6.1 Terra leads MiniMax M3.1 Flash on coding, 77.4 to 58.9 on the Vibe Coding Index, and MiniMax M3.1 Flash costs 8.3x less per output token ($0.60 vs $5.00 per million). Updated October 29, 2026; 21 benchmarks have a result for both.

Replace GPT-6.1 Terra Replace MiniMax M3.1 Flash

GPT-6.1 TerraOpenAI

Coding: 77.4
Overall: 76.8
Output $/M: $5.00

MiniMax M3.1 FlashMiniMax

Coding: 58.9
Overall: 54.9
Output $/M: $0.60

vs boards won of 21 shared

GPT-6.1 Terra or MiniMax M3.1 Flash: which to pick

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 58.9 for MiniMax M3.1 Flash.

Pick MiniMax M3.1 Flash for output tokens 8.3x cheaper ($0.60 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.

Model AGPT-6.1 TerraOpenAI77.4/1004 independent benchmarksNo cost per solved task Model BMiniMax M3.1 FlashMiniMax58.9/1004 independent benchmarksNo cost per solved task

21151

Shared results: 21
GPT-6.1 Terra only: 15
MiniMax M3.1 Flash only: 1
Like-for-like categories: 6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Terra
GPT-6.1 Terra scores 77.4 against 58.9.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 51.0 against 28.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-6.1 Terra has a Design Arena: websites result, 1283.
Directional only
General
Vals Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 60.5% against 53.8%.
Same board, both measured
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3.1 Flash
GPT-6.1 Terra $0.0035, MiniMax M3.1 Flash $0.0004 per turn.
List prices

At a glance

Coding index: GPT-6.1 Terra 77.4 from 4 benchmarks, MiniMax M3.1 Flash 58.9 from 4 benchmarks.
Widest category: Intelligence, 22.1 points apart on average over 1 shared benchmark.
Widest single gap: ALE-Bench: GPT-6.1 Terra 2608.8 against MiniMax M3.1 Flash 217.8, 79.7 points apart on a 0 to 100 scale.
Output price: GPT-6.1 Terra $5.00 against MiniMax M3.1 Flash $0.60 per million output tokens, 8.3x apart.
Context window: GPT-6.1 Terra takes 1.05M tokens, MiniMax M3.1 Flash 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	GPT-6.1 Terra	MiniMax M3.1 Flash
Coding	8	0
Intelligence	1	0
Agentic work	3	3
Reasoning	1	1
Web design	1	0
General	3	0
All shared boards	17	4

CodingLike-for-likeSix of these boards feed the Vibe Coding Index80

Coding benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
LiveBench coding	94.3%	83.9%	GPT-6.1 Terra
LMArena WebDev	1673	1582	GPT-6.1 Terra
Terminal-Bench 4 (Vals AI)	49.5%	25.3%	GPT-6.1 Terra
Vibe Code Bench (Vals AI)	84.0%	73.9%	GPT-6.1 Terra
SciCode	55.1%	53.4%	GPT-6.1 Terra
ALE-Bench	2608.8	217.8	GPT-6.1 Terra
LMArena WebDev: React	1657	1607	GPT-6.1 Terra
LMArena WebDev: HTML	1719	1539	GPT-6.1 Terra
Neither model has a result on the other 35 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
AA Intelligence Index	51.0	28.9	GPT-6.1 Terra
Neither model has a result on the other 1 board here

Agentic workLike-for-likePublic boards, shown as published, kept out of the index33

Agentic work benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
LiveBench research	73.9%	72.7%	GPT-6.1 Terra
LiveBench browser	93.1%	80.6%	GPT-6.1 Terra
LiveBench long agentic	48.6%	28.8%	GPT-6.1 Terra
Tax Agent Bench (Vals AI)	15.2%	32.1%	MiniMax M3.1 Flash
Legal Research Bench (Vals AI)	26.0%	34.1%	MiniMax M3.1 Flash
Harvey's Legal Agent Benchmark (Vals AI)	1.7%	7.5%	MiniMax M3.1 Flash
APEX-Agents	68.3%	Not measured	Only GPT-6.1 Terra measured
Neither model has a result on the other 35 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index11

Reasoning benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
LiveBench reasoning	88.7%	82.9%	GPT-6.1 Terra
Humanity's Last Exam (Artificial Analysis run)	46.2%	48.0%	MiniMax M3.1 Flash
GPQA Diamond (Epoch AI run)	94.3%	Not measured	Only GPT-6.1 Terra measured
Mystery game puzzles	74.0%	Not measured	Only GPT-6.1 Terra measured
EBR-bench	78.1%	Not measured	Only GPT-6.1 Terra measured
Humanity's Last Exam (Scale run)	35.7%	Not measured	Only GPT-6.1 Terra measured
Neither model has a result on the other 17 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared

Math benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
OTIS Mock AIME	100.0%	Not measured	Only GPT-6.1 Terra measured
FrontierMath, tiers 1 to 3	90.9%	Not measured	Only GPT-6.1 Terra measured
FrontierMath, tier 4	92.7%	Not measured	Only GPT-6.1 Terra measured
Neither model has a result on the other 11 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared

Knowledge benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
SimpleQA Verified	57.3%	Not measured	Only GPT-6.1 Terra measured
Neither model has a result on the other 19 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index10

Web design benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
Design Arena: websites	1283	Not measured	Only GPT-6.1 Terra measured
Design Arena: UI components	1277	Not measured	Only GPT-6.1 Terra measured
Design Arena: game dev	1348	Not measured	Only GPT-6.1 Terra measured
Design Arena: all code categories	1295	Not measured	Only GPT-6.1 Terra measured
LiveBench design	82.3%	74.0%	GPT-6.1 Terra
Neither model has a result on the other 4 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index30

General benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
Vals Index	60.5%	53.8%	GPT-6.1 Terra
LiveBench data analysis	82.3%	71.4%	GPT-6.1 Terra
SAGE (Vals AI)	Not measured	85.3%	Only MiniMax M3.1 Flash measured
Long context reasoning (AA-LCR)	82.7%	79.7%	GPT-6.1 Terra
Furniture assembly	79.2%	Not measured	Only GPT-6.1 Terra measured
MultiChallenge	74.2%	Not measured	Only GPT-6.1 Terra measured
Neither model has a result on the other 42 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for GPT-6.1 Terra and MiniMax M3.1 Flash
Benchmark	GPT-6.1 Terra	MiniMax M3.1 Flash	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-6.1 Terra$0.0035Fits in one request

MiniMax M3.1 Flash$0.0004Fits in one request

MiniMax M3.1 Flash costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Terra$0.065Fits in one request

MiniMax M3.1 Flash$0.0093Fits in one request

MiniMax M3.1 Flash costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Terra$0.250Fits in one request

MiniMax M3.1 Flash$0.036Fits in one request

MiniMax M3.1 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-6.1 Terra and MiniMax M3.1 Flash
Specification	OpenAI GPT-6.1 Terra	MiniMax M3.1 Flash
Maker	OpenAI	MiniMax
Weights	No public weights listed	Open weights
Released	October 26, 2026	October 19, 2026
Context window	1.05M	1.05M
Input $/Mtok	$1.00	$0.15
Output $/Mtok	$5.00	$0.60
Coding index	77.4	58.9
Independent measurements behind it	4	4
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-6.1 Terra better than MiniMax M3.1 Flash for coding?

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 58.9 for MiniMax M3.1 Flash. Pick MiniMax M3.1 Flash for output tokens 8.3x cheaper ($0.60 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.

Which is cheaper, GPT-6.1 Terra or MiniMax M3.1 Flash?

GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; MiniMax M3.1 Flash costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-6.1 Terra or MiniMax M3.1 Flash?

GPT-6.1 Terra, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6.1 Terra vs MiniMax M3.1 Flash comparison based on?

21 benchmarks have a result for both models as of October 29, 2026. GPT-6.1 Terra's coding index rests on 4 independent benchmarks and MiniMax M3.1 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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GPT-6.1 Terra or MiniMax M3.1 Flash: which to pick

Which one for your work

Coding

Intelligence

Web design

General

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next