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GPT-6.1 Sol vs MiniMax M3

GPT-6.1 Sol leads MiniMax M3 on coding, 82.4 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

Replace GPT-6.1 Sol Replace MiniMax M3
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
71
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
7
vs boards won of 78 shared

GPT-6.1 Sol or MiniMax M3: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6.

Pick MiniMax M3 for output tokens 8.3x cheaper ($1.20 vs $10.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: science, where it leads.

Model AGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
78
GPT-6.1 Sol only
20
MiniMax M3 only
38
Like-for-like categories
8 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.

At a glance

Coding index
GPT-6.1 Sol 82.4 from 5 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Math, 32.7 points apart on average over 4 shared benchmarks.
Widest single gap
ProofBench: GPT-6.1 Sol 99.0% against MiniMax M3 18.0%, 81.0 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-6.1 Sol takes 1.05M tokens, MiniMax M3 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
CategoryGPT-6.1 SolBarsMiniMax M3Ties
Coding141
Intelligence20
Agentic work110
Reasoning100
Math40
Knowledge32
Web design70
General204
All shared boards717
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
Coding benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
LiveBench coding96.0%70.9%GPT-6.1 Sol
LMArena WebDev17531482GPT-6.1 Sol
AA Coding IndexNot measured58.6Only MiniMax M3 measured
LiveCodeBench (Vals AI)Not measured82.2%Only MiniMax M3 measured
SWE-bench Verified (Vals AI)Not measured75.0%Only MiniMax M3 measured
Terminal-Bench 4 (Vals AI)55.0%1.0%GPT-6.1 Sol
Vibe Code Bench (Vals AI)88.9%47.6%GPT-6.1 Sol
Code migration (Vals AI)65.1%19.9%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%Not measuredOnly GPT-6.1 Sol measured
IOI (Vals AI)96.9%Not measuredOnly GPT-6.1 Sol measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)43.5%33.3%GPT-6.1 Sol
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)39.3%65.0%MiniMax M3
SciCode55.8%47.1%GPT-6.1 Sol
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only MiniMax M3 measured
FrontierCode50.2%14.7%GPT-6.1 Sol
ALE-Bench2743.8640.0GPT-6.1 Sol
LMArena Text: coding14781470GPT-6.1 Sol
LMArena Text: software and IT14761466GPT-6.1 Sol
LMArena WebDev: React17541478GPT-6.1 Sol
LMArena WebDev: HTML18001455GPT-6.1 Sol
LMArena WebDev: from an image17021470GPT-6.1 Sol
SciCode9.2%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
AA Intelligence Index51.829.2GPT-6.1 Sol
Epoch Capabilities Index168.4146.9GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index110
Agentic work benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
Design Arena: agents building web apps13061200GPT-6.1 Sol
Design Arena: agents building full-stack appsNot measured1197Only MiniMax M3 measured
Design Arena: agents building mobile apps12131169GPT-6.1 Sol
Design Arena: agents building Android appsNot measured1159Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1130Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1181Only MiniMax M3 measured
Design Arena: spreadsheets12591028GPT-6.1 Sol
LiveBench research83.5%68.0%GPT-6.1 Sol
LiveBench browser88.0%8.0%GPT-6.1 Sol
LiveBench long agentic73.0%12.4%GPT-6.1 Sol
SREBench (Vals AI)50.8%Not measuredOnly GPT-6.1 Sol measured
Finance Agent (Vals AI)52.0%48.3%GPT-6.1 Sol
Tax Agent Bench (Vals AI)21.8%20.6%GPT-6.1 Sol
Legal Research Bench (Vals AI)38.5%29.8%GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)6.3%Not measuredOnly GPT-6.1 Sol measured
Excel Modeling Benchmark (Vals AI)70.8%47.8%GPT-6.1 Sol
BioMysteryBench (Vals AI)79.6%Not measuredOnly GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)52.9%Not measuredOnly GPT-6.1 Sol measured
Vals Science Index59.6%Not measuredOnly GPT-6.1 Sol measured
Robo-bench (Vals AI)28.3%Not measuredOnly GPT-6.1 Sol measured
τ²-Bench TelecomNot measured88.9%Only MiniMax M3 measured
APEX-Agents60.0%37.7%GPT-6.1 Sol
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
GPQA DiamondNot measured92.7%Only MiniMax M3 measured
LiveBench reasoning92.6%74.5%GPT-6.1 Sol
MysteryMechanism (Vals AI)46.4%Not measuredOnly GPT-6.1 Sol measured
MMMU Pro (Vals AI)Not measured81.2%Only MiniMax M3 measured
GPQA Diamond (Artificial Analysis run)Not measured92.9%Only MiniMax M3 measured
Humanity's Last Exam (Artificial Analysis run)52.9%39.0%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%90.9%GPT-6.1 Sol
ARC-AGI98.5%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI-294.2%Not measuredOnly GPT-6.1 Sol measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzles68.0%13.0%GPT-6.1 Sol
Mystery game puzzles80.0%8.0%GPT-6.1 Sol
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631447GPT-6.1 Sol
LMArena Text: expert14891461GPT-6.1 Sol
LMArena Text: hard prompts in English14651455GPT-6.1 Sol
LMArena Vision: diagrams13061266GPT-6.1 Sol
LMArena Vision: homework13561268GPT-6.1 Sol
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
OTIS Mock AIME100.0%71.1%GPT-6.1 Sol
FrontierMath, tiers 1 to 393.7%Not measuredOnly GPT-6.1 Sol measured
FrontierMath, tier 4100.0%Not measuredOnly GPT-6.1 Sol measured
ProofBench99.0%18.0%GPT-6.1 Sol
LMArena Text: math14891429GPT-6.1 Sol
LMArena Text: mathematical work15131448GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
MMLU ProNot measured84.2%Only MiniMax M3 measured
LegalBench (Vals AI)Not measured85.4%Only MiniMax M3 measured
CorpFin (Vals AI)Not measured68.1%Only MiniMax M3 measured
TaxEval (Vals AI)Not measured72.7%Only MiniMax M3 measured
MortgageTax (Vals AI)Not measured68.4%Only MiniMax M3 measured
MedCode (Vals AI)48.8%46.3%GPT-6.1 Sol
SimpleQA Verified73.9%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: science14441452MiniMax M3
LMArena Text: medicine and healthcare14331441MiniMax M3
LMArena Text: legal and government14711437GPT-6.1 Sol
LMArena Text: business and finance14451434GPT-6.1 Sol
FACTS Benchmark Suite75.3%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
Design Arena: websites13211257GPT-6.1 Sol
Design Arena: UI components13171242GPT-6.1 Sol
Design Arena: game dev13891210GPT-6.1 Sol
Design Arena: data viz12811236GPT-6.1 Sol
Design Arena: 3D14601208GPT-6.1 Sol
Design Arena: all code categories13451247GPT-6.1 Sol
Design Arena: SVGNot measured1161Only MiniMax M3 measured
Design Arena: ASCII artNot measured1161Only MiniMax M3 measured
LiveBench design82.1%66.2%GPT-6.1 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index204
General benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
Vals Index63.9%Not measuredOnly GPT-6.1 Sol measured
LiveBench data analysis82.7%76.2%GPT-6.1 Sol
Public Benefits Bench (Vals AI)59.3%64.1%MiniMax M3
SAGE (Vals AI)46.5%50.6%MiniMax M3
MedScribe (Vals AI)86.5%87.3%MiniMax M3
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBenchNot measured82.9%Only MiniMax M3 measured
Long context reasoning (AA-LCR)84.0%83.0%GPT-6.1 Sol
DTBench96.5%78.9%GPT-6.1 Sol
LMCA62.8%33.7%GPT-6.1 Sol
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
Furniture assembly80.0%Not measuredOnly GPT-6.1 Sol measured
LMArena Text14431433GPT-6.1 Sol
LMArena Text: instruction following14661433GPT-6.1 Sol
LMArena Text: creative writing14251404GPT-6.1 Sol
LMArena Vision12881251GPT-6.1 Sol
LMArena Text: English14501443GPT-6.1 Sol
LMArena Text: non-English14331420GPT-6.1 Sol
LMArena Text: Chinese14871466GPT-6.1 Sol
LMArena Text: GermanNot measured1428Only MiniMax M3 measured
LMArena Text: JapaneseNot measured1380Only MiniMax M3 measured
LMArena Text: KoreanNot measured1373Only MiniMax M3 measured
LMArena Text: French14601444GPT-6.1 Sol
LMArena Text: Spanish14391433GPT-6.1 Sol
LMArena Text: Russian14571426GPT-6.1 Sol
LMArena Text: PolishNot measured1423Only MiniMax M3 measured
LMArena Text: multi-turn14421443MiniMax M3
LMArena Text: longer queries14581446GPT-6.1 Sol
LMArena Text: writing and language14441419GPT-6.1 Sol
LMArena Text: entertainment and media14261403GPT-6.1 Sol
LMArena Vision: English12741263GPT-6.1 Sol
LMArena Vision: ChineseNot measured1311Only MiniMax M3 measured
LMArena Vision: reading text12891259GPT-6.1 Sol
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writing13011234GPT-6.1 Sol
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6.1 Sol and MiniMax M3
BenchmarkGPT-6.1 SolMiniMax M3Leader
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 Sol$0.0070Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Sol$0.130Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Sol$0.500Fits in one request
MiniMax M3$0.072Fits in one request

MiniMax M3 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 Sol and MiniMax M3
SpecificationOpenAI GPT-6.1 SolMiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$0.30
Output $/Mtok$10.00$1.20
Coding index82.439.2
Independent measurements behind it56
Cost per solved taskNot computable$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than MiniMax M3 for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6. Pick MiniMax M3 for output tokens 8.3x cheaper ($1.20 vs $10.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: science, where it leads.

Which is cheaper, GPT-6.1 Sol or MiniMax M3?

GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.

Which has the bigger context window, GPT-6.1 Sol or MiniMax M3?

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

How many benchmarks is the GPT-6.1 Sol vs MiniMax M3 comparison based on?

78 benchmarks have a result for both models as of October 22, 2026. GPT-6.1 Sol's coding index rests on 5 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-6-1-sol-vs-minimax-minimax-m3">LLMBenchmark.ai, GPT-6.1 Sol vs MiniMax M3</a></p>