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GPT-6 Sol vs MiniMax M3

GPT-6 Sol leads MiniMax M3 on coding, 76.0 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; 85 benchmarks have a result for both.

GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
48
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
37
vs boards won of 85 shared

GPT-6 Sol or MiniMax M3: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 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 LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
85
GPT-6 Sol only
16
MiniMax M3 only
31
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 Sol 76.0 from 5 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Coding, 28.6 points apart on average over 15 shared benchmarks.
Widest single gap
LiveBench browser: GPT-6 Sol 92.0% against MiniMax M3 8.0%, 84.0 points apart on a 0 to 100 scale.
Output price
GPT-6 Sol $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-6 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 SolBarsMiniMax M3Ties
Coding132
Intelligence20
Agentic work102
Reasoning73
Math22
Knowledge14
Web design90
General424
All shared boards4837
CodingLike-for-likeSix of these boards feed the Vibe Coding Index132
Coding benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
LiveBench coding93.1%70.9%GPT-6 Sol
LMArena WebDev16831482GPT-6 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)44.4%1.0%GPT-6 Sol
Vibe Code Bench (Vals AI)87.8%47.6%GPT-6 Sol
Code migration (Vals AI)57.2%19.9%GPT-6 Sol
ProgramBench (Vals AI)2.0%Not measuredOnly GPT-6 Sol measured
IOI (Vals AI)82.6%Not measuredOnly GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)83.2%53.6%GPT-6 Sol
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
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)78.0%65.0%GPT-6 Sol
SciCode57.6%47.1%GPT-6 Sol
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only MiniMax M3 measured
FrontierCode49.3%14.7%GPT-6 Sol
ALE-Bench2462.0640.0GPT-6 Sol
LMArena Text: coding14481470MiniMax M3
LMArena Text: software and IT14331466MiniMax M3
LMArena WebDev: React16851478GPT-6 Sol
LMArena WebDev: HTML16851455GPT-6 Sol
LMArena WebDev: from an image16601470GPT-6 Sol
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
AA Intelligence Index47.629.2GPT-6 Sol
Epoch Capabilities Index163.7146.9GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index102
Agentic work benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
Design Arena: agents building web apps12311200GPT-6 Sol
Design Arena: agents building full-stack apps12381197GPT-6 Sol
Design Arena: agents building mobile apps12171169GPT-6 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: spreadsheetsNot measured1028Only MiniMax M3 measured
LiveBench research69.3%68.0%GPT-6 Sol
LiveBench browser92.0%8.0%GPT-6 Sol
LiveBench long agentic66.9%12.4%GPT-6 Sol
SREBench (Vals AI)30.5%Not measuredOnly GPT-6 Sol measured
Finance Agent (Vals AI)49.0%48.3%GPT-6 Sol
Tax Agent Bench (Vals AI)15.0%20.6%MiniMax M3
Legal Research Bench (Vals AI)28.9%29.8%MiniMax M3
Excel Modeling Benchmark (Vals AI)71.5%47.8%GPT-6 Sol
BioMysteryBench (Vals AI)74.8%Not measuredOnly GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)30.0%Not measuredOnly GPT-6 Sol measured
Vals Science Index45.0%Not measuredOnly GPT-6 Sol measured
τ²-Bench TelecomNot measured88.9%Only MiniMax M3 measured
APEX-Agents54.3%37.7%GPT-6 Sol
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
SpireClimb7.5%Not measuredOnly GPT-6 Sol measured
Vending-Bench 2$14,428$2,158GPT-6 Sol
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index73
Reasoning benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
GPQA DiamondNot measured92.7%Only MiniMax M3 measured
LiveBench reasoning88.7%74.5%GPT-6 Sol
MysteryMechanism (Vals AI)30.2%Not measuredOnly GPT-6 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)47.9%39.0%GPT-6 Sol
GPQA Diamond (Epoch AI run)94.3%90.9%GPT-6 Sol
ARC-AGI95.5%Not measuredOnly GPT-6 Sol measured
ARC-AGI-289.6%Not measuredOnly GPT-6 Sol measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzles56.0%13.0%GPT-6 Sol
Mystery game puzzles56.0%8.0%GPT-6 Sol
EBR-bench53.3%Not measuredOnly GPT-6 Sol measured
LMArena Text: hard prompts14221447MiniMax M3
LMArena Text: expert14371461MiniMax M3
LMArena Text: hard prompts in English14201455MiniMax M3
LMArena Vision: diagrams12701266GPT-6 Sol
LMArena Vision: homework12861268GPT-6 Sol
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
OTIS Mock AIME100.0%71.1%GPT-6 Sol
FrontierMath, tiers 1 to 389.8%Not measuredOnly GPT-6 Sol measured
FrontierMath, tier 490.0%Not measuredOnly GPT-6 Sol measured
ProofBench83.0%18.0%GPT-6 Sol
LMArena Text: math14071429MiniMax M3
LMArena Text: mathematical work14241448MiniMax M3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 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)47.1%46.3%GPT-6 Sol
SimpleQA Verified60.7%Not measuredOnly GPT-6 Sol measured
LMArena Text: science13891452MiniMax M3
LMArena Text: medicine and healthcare13661441MiniMax M3
LMArena Text: legal and government13961437MiniMax M3
LMArena Text: business and finance13801434MiniMax M3
FACTS Benchmark Suite72.5%Not measuredOnly GPT-6 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 index90
Web design benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
Design Arena: websites12921257GPT-6 Sol
Design Arena: UI components12901242GPT-6 Sol
Design Arena: game dev13111210GPT-6 Sol
Design Arena: data viz12691236GPT-6 Sol
Design Arena: 3D13141208GPT-6 Sol
Design Arena: all code categories13001247GPT-6 Sol
Design Arena: SVG13151161GPT-6 Sol
Design Arena: ASCII art12221161GPT-6 Sol
LiveBench design82.2%66.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index424
General benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 SolMiniMax M3Leader
LiveBench data analysis81.2%76.2%GPT-6 Sol
Public Benefits Bench (Vals AI)56.6%64.1%MiniMax M3
SAGE (Vals AI)44.8%50.6%MiniMax M3
MedScribe (Vals AI)82.0%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)83.7%83.0%GPT-6 Sol
DTBench97.3%78.9%GPT-6 Sol
LMCA59.1%33.7%GPT-6 Sol
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
Furniture assembly58.3%Not measuredOnly GPT-6 Sol measured
LMArena Text13981433MiniMax M3
LMArena Text: instruction following14131433MiniMax M3
LMArena Text: creative writing13781404MiniMax M3
LMArena Vision12401251MiniMax M3
LMArena Text: English13961443MiniMax M3
LMArena Text: non-English13881420MiniMax M3
LMArena Text: Chinese14121466MiniMax M3
LMArena Text: German13791428MiniMax M3
LMArena Text: Japanese13771380MiniMax M3
LMArena Text: Korean13361373MiniMax M3
LMArena Text: French13991444MiniMax M3
LMArena Text: Spanish13871433MiniMax M3
LMArena Text: Russian14021426MiniMax M3
LMArena Text: Polish13721423MiniMax M3
LMArena Text: multi-turn14141443MiniMax M3
LMArena Text: longer queries14161446MiniMax M3
LMArena Text: writing and language13891419MiniMax M3
LMArena Text: entertainment and media13731403MiniMax M3
LMArena Vision: English12291263MiniMax M3
LMArena Vision: ChineseNot measured1311Only MiniMax M3 measured
LMArena Vision: reading text12581259MiniMax M3
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writing12191234MiniMax M3
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6 Sol and MiniMax M3
BenchmarkGPT-6 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 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 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 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 Sol and MiniMax M3
SpecificationOpenAI GPT-6 SolMiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$0.30
Output $/Mtok$10.00$1.20
Coding index76.039.2
Independent measurements behind it56
Cost per solved taskNot computable$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6 Sol better than MiniMax M3 for coding?

Pick GPT-6 Sol for coding: it scores 76.0 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 LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-6 Sol or MiniMax M3?

GPT-6 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 Sol or MiniMax M3?

GPT-6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6 Sol vs MiniMax M3 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. GPT-6 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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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-6-sol-vs-minimax-minimax-m3" title="GPT-6 Sol vs MiniMax M3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-6-sol-vs-minimax-minimax-m3">LLMBenchmark.ai, GPT-6 Sol vs MiniMax M3</a></p>