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GPT-5.6 Sol vs MiniMax M3

GPT-5.6 Sol leads MiniMax M3 on coding, 73.5 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 16.7x less per output token ($1.20 vs $20.00 per million). Updated October 22, 2026; 112 benchmarks have a result for both.

Replace GPT-5.6 Sol Replace MiniMax M3
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
104
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
8
vs boards won of 112 shared

GPT-5.6 Sol or MiniMax M3: which to pick

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 39.2 for MiniMax M3.

Pick MiniMax M3 for output tokens 16.7x cheaper ($1.20 vs $20.00 per million) and a lower cost per solved task ($0.56 against $1.20).

Model AGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
112
GPT-5.6 Sol only
27
MiniMax M3 only
4
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-5.6 Sol 73.5 from 6 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Math, 27.3 points apart on average over 4 shared benchmarks.
Widest single gap
LiveBench browser: GPT-5.6 Sol 88.0% against MiniMax M3 8.0%, 80.0 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Sol $20.00 against MiniMax M3 $1.20 per million output tokens, 16.7x apart.
Context window
GPT-5.6 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-5.6 SolBarsMiniMax M3Ties
Coding210
Intelligence20
Agentic work162
Reasoning140
Math40
Knowledge64
Web design90
General322
All shared boards1048
CodingLike-for-likeSix of these boards feed the Vibe Coding Index210
Coding benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
LiveBench coding89.7%70.9%GPT-5.6 Sol
LMArena WebDev16161482GPT-5.6 Sol
AA Coding Index77.458.6GPT-5.6 Sol
LiveCodeBench (Vals AI)82.6%82.2%GPT-5.6 Sol
SWE-bench Verified (Vals AI)96.2%75.0%GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)37.9%1.0%GPT-5.6 Sol
Vibe Code Bench (Vals AI)80.5%47.6%GPT-5.6 Sol
Code migration (Vals AI)52.9%19.9%GPT-5.6 Sol
ProgramBench (Vals AI)1.5%Not measuredOnly GPT-5.6 Sol measured
IOI (Vals AI)91.2%Not measuredOnly GPT-5.6 Sol measured
Terminal-Bench 2.1 (Vals AI)85.8%53.6%GPT-5.6 Sol
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)20.0%9.2%GPT-5.6 Sol
SkillsBench (Vals AI)54.1%51.5%GPT-5.6 Sol
CyberBench (Vals AI)76.3%65.0%GPT-5.6 Sol
SciCode57.8%47.1%GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)65.9%42.4%GPT-5.6 Sol
FrontierCode47.5%14.7%GPT-5.6 Sol
FrontierSWE32.2%Not measuredOnly GPT-5.6 Sol measured
GSO-Bench76.5%Not measuredOnly GPT-5.6 Sol measured
WeirdML88.8%Not measuredOnly GPT-5.6 Sol measured
MirrorCode20.0%Not measuredOnly GPT-5.6 Sol measured
ALE-Bench2176.9640.0GPT-5.6 Sol
LMArena Text: coding14961470GPT-5.6 Sol
LMArena Text: software and IT14891466GPT-5.6 Sol
LMArena WebDev: React16201478GPT-5.6 Sol
LMArena WebDev: HTML16181455GPT-5.6 Sol
LMArena WebDev: from an image16091470GPT-5.6 Sol
SciCode10.8%Not measuredOnly GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
AA Intelligence Index47.029.2GPT-5.6 Sol
Epoch Capabilities Index162.8146.9GPT-5.6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index162
Agentic work benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
AA Agentic Index50.229.5GPT-5.6 Sol
Design Arena: agents building web apps12451200GPT-5.6 Sol
Design Arena: agents building full-stack apps12611197GPT-5.6 Sol
Design Arena: agents building mobile apps12481169GPT-5.6 Sol
Design Arena: agents building Android apps12401159GPT-5.6 Sol
Design Arena: agents building Godot games1260Not measuredOnly GPT-5.6 Sol measured
Design Arena: agents building games12661158GPT-5.6 Sol
Design Arena: HTML slides12361130GPT-5.6 Sol
Design Arena: PowerPoint slides12151181GPT-5.6 Sol
Design Arena: spreadsheetsNot measured1028Only MiniMax M3 measured
LiveBench research54.5%68.0%MiniMax M3
LiveBench browser88.0%8.0%GPT-5.6 Sol
LiveBench long agentic48.5%12.4%GPT-5.6 Sol
SREBench (Vals AI)30.5%Not measuredOnly GPT-5.6 Sol measured
Finance Agent (Vals AI)53.8%48.3%GPT-5.6 Sol
Tax Agent Bench (Vals AI)31.1%20.6%GPT-5.6 Sol
Legal Research Bench (Vals AI)48.1%29.8%GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)72.3%47.8%GPT-5.6 Sol
BioMysteryBench (Vals AI)71.1%Not measuredOnly GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)20.0%Not measuredOnly GPT-5.6 Sol measured
Vals Science Index41.5%Not measuredOnly GPT-5.6 Sol measured
Time Horizon Index (Vals AI)23.8%Not measuredOnly GPT-5.6 Sol measured
CUA-bench (Vals AI)8.3%Not measuredOnly GPT-5.6 Sol measured
τ²-Bench Telecom85.1%88.9%MiniMax M3
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
OSWorld 2.027.3%4.6%GPT-5.6 Sol
BALROG60.0%Not measuredOnly GPT-5.6 Sol measured
PostTrainBench36.2%Not measuredOnly GPT-5.6 Sol measured
Vending-Bench 2$9,619$2,158GPT-5.6 Sol
LMArena Search1261Not measuredOnly GPT-5.6 Sol measured
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index140
Reasoning benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
GPQA Diamond95.2%92.7%GPT-5.6 Sol
LiveBench reasoning91.7%74.5%GPT-5.6 Sol
MysteryMechanism (Vals AI)33.3%Not measuredOnly GPT-5.6 Sol measured
MMMU Pro (Vals AI)88.8%81.2%GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)94.1%92.9%GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)49.5%39.0%GPT-5.6 Sol
GPQA Diamond (Epoch AI run)93.5%90.9%GPT-5.6 Sol
ARC-AGI97.5%Not measuredOnly GPT-5.6 Sol measured
ARC-AGI-292.5%Not measuredOnly GPT-5.6 Sol measured
SimpleBench64.8%45.8%GPT-5.6 Sol
Chess puzzles59.0%13.0%GPT-5.6 Sol
Mystery game puzzles58.0%8.0%GPT-5.6 Sol
EBR-bench44.8%Not measuredOnly GPT-5.6 Sol measured
LMArena Text: hard prompts14831447GPT-5.6 Sol
LMArena Text: expert15171461GPT-5.6 Sol
LMArena Text: hard prompts in English14771455GPT-5.6 Sol
LMArena Vision: diagrams13051266GPT-5.6 Sol
LMArena Vision: homework13051268GPT-5.6 Sol
Kagi LLM Benchmark67.0%Not measuredOnly GPT-5.6 Sol measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
OTIS Mock AIME100.0%71.1%GPT-5.6 Sol
FrontierMath, tiers 1 to 389.1%Not measuredOnly GPT-5.6 Sol measured
FrontierMath, tier 482.9%Not measuredOnly GPT-5.6 Sol measured
ProofBench83.0%18.0%GPT-5.6 Sol
LMArena Text: math14731429GPT-5.6 Sol
LMArena Text: mathematical work14961448GPT-5.6 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
Knowledge benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
MMLU Pro89.1%84.2%GPT-5.6 Sol
LegalBench (Vals AI)87.0%85.4%GPT-5.6 Sol
CorpFin (Vals AI)64.4%68.1%MiniMax M3
TaxEval (Vals AI)74.8%72.7%GPT-5.6 Sol
MortgageTax (Vals AI)67.3%68.4%MiniMax M3
MedCode (Vals AI)44.0%46.3%MiniMax M3
SimpleQA Verified69.7%Not measuredOnly GPT-5.6 Sol measured
LMArena Text: science14551452GPT-5.6 Sol
LMArena Text: medicine and healthcare14311441MiniMax M3
LMArena Text: legal and government14761437GPT-5.6 Sol
LMArena Text: business and finance14571434GPT-5.6 Sol
FACTS Benchmark Suite52.4%Not measuredOnly GPT-5.6 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-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
Design Arena: websites13211257GPT-5.6 Sol
Design Arena: UI components13351242GPT-5.6 Sol
Design Arena: game dev13671210GPT-5.6 Sol
Design Arena: data viz13221236GPT-5.6 Sol
Design Arena: 3D13841208GPT-5.6 Sol
Design Arena: all code categories13411247GPT-5.6 Sol
Design Arena: SVG13141161GPT-5.6 Sol
Design Arena: ASCII art13041161GPT-5.6 Sol
LiveBench design81.6%66.2%GPT-5.6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index322
General benchmarks for GPT-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 SolMiniMax M3Leader
LiveBench data analysis79.8%76.2%GPT-5.6 Sol
Public Benefits Bench (Vals AI)66.5%64.1%GPT-5.6 Sol
SAGE (Vals AI)52.6%50.6%GPT-5.6 Sol
MedScribe (Vals AI)85.2%87.3%MiniMax M3
Vals Multimodal Index72.6%60.0%GPT-5.6 Sol
IFBench72.7%82.9%MiniMax M3
Long context reasoning (AA-LCR)84.0%83.0%GPT-5.6 Sol
DTBench95.7%78.9%GPT-5.6 Sol
LMCA58.5%33.7%GPT-5.6 Sol
Surface Evolver Bench93.1%55.0%GPT-5.6 Sol
Furniture assembly56.7%Not measuredOnly GPT-5.6 Sol measured
LMArena Text14571433GPT-5.6 Sol
LMArena Text: instruction following14831433GPT-5.6 Sol
LMArena Text: creative writing14491404GPT-5.6 Sol
LMArena Vision12811251GPT-5.6 Sol
LMArena Text: English14571443GPT-5.6 Sol
LMArena Text: non-English14511420GPT-5.6 Sol
LMArena Text: Chinese15251466GPT-5.6 Sol
LMArena Text: German14761428GPT-5.6 Sol
LMArena Text: Japanese14721380GPT-5.6 Sol
LMArena Text: Korean14421373GPT-5.6 Sol
LMArena Text: French14721444GPT-5.6 Sol
LMArena Text: Spanish14431433GPT-5.6 Sol
LMArena Text: Russian14711426GPT-5.6 Sol
LMArena Text: Polish14591423GPT-5.6 Sol
LMArena Text: multi-turn14611443GPT-5.6 Sol
LMArena Text: longer queries14811446GPT-5.6 Sol
LMArena Text: writing and language14621419GPT-5.6 Sol
LMArena Text: entertainment and media14501403GPT-5.6 Sol
LMArena Vision: English12801263GPT-5.6 Sol
LMArena Vision: Chinese13131311GPT-5.6 Sol
LMArena Vision: reading text12901259GPT-5.6 Sol
LMArena Vision: humor12461235GPT-5.6 Sol
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writing12831234GPT-5.6 Sol
LMArena Document14831435GPT-5.6 Sol
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-5.6 Sol and MiniMax M3
BenchmarkGPT-5.6 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-5.6 Sol$0.014Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Sol$0.260Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Sol$1.00Fits 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-5.6 Sol and MiniMax M3
SpecificationOpenAI GPT-5.6 SolMiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedJuly 9, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$4.00$0.30
Output $/Mtok$20.00$1.20
Coding index73.539.2
Independent measurements behind it66
Cost per solved task$1.20$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Sol better than MiniMax M3 for coding?

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 39.2 for MiniMax M3. Pick MiniMax M3 for output tokens 16.7x cheaper ($1.20 vs $20.00 per million) and a lower cost per solved task ($0.56 against $1.20).

Which is cheaper, GPT-5.6 Sol or MiniMax M3?

GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.6 Sol costs $1.20 and MiniMax M3 $0.56.

Which has the bigger context window, GPT-5.6 Sol or MiniMax M3?

GPT-5.6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-5.6 Sol vs MiniMax M3 comparison based on?

112 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Sol's coding index rests on 6 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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