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GPT-5.5 vs MiniMax M3

Updated October 21, 2026. 111 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.5 Replace MiniMax M3
GPT-5.5OpenAI
Coding
67.8
Overall
38.4
Output $/M
$30.00
99
MiniMax M3MiniMax
Coding
57.8
Overall
29.2
Output $/M
$1.20
12
vs boards won of 111 shared

Decision reading

Pick GPT-5.5 for coding: it scores 67.8 on the Vibe Coding Index against 57.8 for MiniMax M3.

Pick MiniMax M3 when output tokens cost 25.0x less, or when a solved task costs $0.56 against $1.65.

Model AGPT-5.5OpenAI67.8/1002 independent benchmarks$1.65 per solved taskModel BMiniMax M3MiniMax57.8/1002 independent benchmarks$0.56 per solved task
Shared results
111
GPT-5.5 only
21
MiniMax M3 only
5
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-5.5 67.8 from 2 benchmarks, MiniMax M3 57.8 from 2 benchmarks.
Widest category
Math, 15.7 points apart on average over 4 shared benchmarks.
Widest single gap
Chess puzzles: GPT-5.5 63.0% against MiniMax M3 13.0%, 50.0 points apart on a 0 to 100 scale.
Output price
GPT-5.5 $30.00 against MiniMax M3 $1.20 per million output tokens, 25.0x apart.
Context window
GPT-5.5 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-5.5BarsMiniMax M3Ties
Coding180
Intelligence20
Agentic work136
Reasoning131
Math40
Knowledge100
Web design72
General323
All shared boards9912
CodingLike-for-likeFour of these boards feed the Vibe Coding Index180
Coding benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
LiveBench coding85.1%70.9%GPT-5.5
LMArena WebDev15131482GPT-5.5
AA Coding Index74.958.6GPT-5.5
LiveCodeBench (Vals AI)85.3%82.2%GPT-5.5
SWE-bench Verified (Vals AI)82.6%75.0%GPT-5.5
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)69.8%47.6%GPT-5.5
Code migration (Vals AI)45.2%19.9%GPT-5.5
ProgramBench (Vals AI)0.5%Not measuredOnly GPT-5.5 measured
Terminal-Bench 2.1 (Vals AI)76.4%53.6%GPT-5.5
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)62.5%51.5%GPT-5.5
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
SciCode56.1%47.1%GPT-5.5
Terminal-Bench Hard (Artificial Analysis run)60.6%42.4%GPT-5.5
Terminal-Bench84.7%Not measuredOnly GPT-5.5 measured
FrontierCode43.0%14.7%GPT-5.5
GSO-Bench40.2%Not measuredOnly GPT-5.5 measured
WeirdML84.9%Not measuredOnly GPT-5.5 measured
MirrorCode10.0%Not measuredOnly GPT-5.5 measured
ALE-Bench1943.0640.0GPT-5.5
LMArena Text: coding14941470GPT-5.5
LMArena Text: software and IT14931466GPT-5.5
LMArena WebDev: React15061478GPT-5.5
LMArena WebDev: HTML15431455GPT-5.5
LMArena WebDev: from an image15321470GPT-5.5
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
AA Intelligence Index38.429.2GPT-5.5
Epoch Capabilities Index159.7146.9GPT-5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index136
Agentic work benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
AA Agentic Index36.429.5GPT-5.5
Design Arena: agents building web apps11171200MiniMax M3
Design Arena: agents building full-stack apps10891197MiniMax M3
Design Arena: agents building mobile apps11431169MiniMax M3
Design Arena: agents building Android apps11691164GPT-5.5
Design Arena: agents building Godot games1173Not measuredOnly GPT-5.5 measured
Design Arena: agents building games11791158GPT-5.5
Design Arena: HTML slides10671180MiniMax M3
Design Arena: PowerPoint slides11081205MiniMax M3
Design Arena: spreadsheetsNot measured1021Only MiniMax M3 measured
LiveBench research61.6%68.0%MiniMax M3
LiveBench browser48.0%8.0%GPT-5.5
LiveBench long agentic44.6%12.4%GPT-5.5
SREBench (Vals AI)3.8%Not measuredOnly GPT-5.5 measured
Finance Agent (Vals AI)51.8%48.3%GPT-5.5
Tax Agent Bench (Vals AI)21.8%20.6%GPT-5.5
Legal Research Bench (Vals AI)40.4%29.8%GPT-5.5
Excel Modeling Benchmark (Vals AI)64.5%47.8%GPT-5.5
Time Horizon Index (Vals AI)8.3%Not measuredOnly GPT-5.5 measured
τ²-Bench Telecom93.9%88.9%GPT-5.5
APEX-Agents55.1%37.7%GPT-5.5
Remote Labor Index6.3%Not measuredOnly GPT-5.5 measured
OSWorld 2.013.0%4.6%GPT-5.5
DeepResearch Bench54.0%Not measuredOnly GPT-5.5 measured
PostTrainBench27.2%Not measuredOnly GPT-5.5 measured
Vending-Bench 2$7,524$2,158GPT-5.5
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index131
Reasoning benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
GPQA Diamond93.2%92.7%GPT-5.5
LiveBench reasoning89.7%74.5%GPT-5.5
MMMU Pro (Vals AI)88.3%81.2%GPT-5.5
GPQA Diamond (Artificial Analysis run)93.5%92.9%GPT-5.5
Humanity's Last Exam (Artificial Analysis run)45.8%39.0%GPT-5.5
GPQA Diamond (Epoch AI run)90.7%90.9%MiniMax M3
ARC-AGI95.0%Not measuredOnly GPT-5.5 measured
ARC-AGI-285.0%Not measuredOnly GPT-5.5 measured
SimpleBench69.0%45.8%GPT-5.5
Chess puzzles63.0%13.0%GPT-5.5
Mystery game puzzles56.0%8.0%GPT-5.5
EBR-bench34.3%Not measuredOnly GPT-5.5 measured
LMArena Text: hard prompts14891447GPT-5.5
LMArena Text: expert15071461GPT-5.5
LMArena Text: hard prompts in English14831455GPT-5.5
LMArena Vision: diagrams13251266GPT-5.5
LMArena Vision: homework13321268GPT-5.5
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-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
OTIS Mock AIME84.4%71.1%GPT-5.5
FrontierMath, tiers 1 to 385.3%Not measuredOnly GPT-5.5 measured
FrontierMath, tier 472.5%Not measuredOnly GPT-5.5 measured
ProofBench50.0%18.0%GPT-5.5
LMArena Text: math14871429GPT-5.5
LMArena Text: mathematical work14961448GPT-5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
MMLU Pro88.1%84.2%GPT-5.5
LegalBench (Vals AI)86.5%85.4%GPT-5.5
CaseLaw (Vals AI)66.2%Not measuredOnly GPT-5.5 measured
CorpFin (Vals AI)68.4%68.1%GPT-5.5
TaxEval (Vals AI)75.0%72.7%GPT-5.5
MortgageTax (Vals AI)68.8%68.4%GPT-5.5
MedCode (Vals AI)49.1%46.3%GPT-5.5
SimpleQA Verified63.0%Not measuredOnly GPT-5.5 measured
LMArena Text: science14851452GPT-5.5
LMArena Text: medicine and healthcare14651441GPT-5.5
LMArena Text: legal and government14911437GPT-5.5
LMArena Text: business and finance14781434GPT-5.5
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index72
Web design benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
Design Arena: websites12561257MiniMax M3
Design Arena: UI components12601246GPT-5.5
Design Arena: game dev12941210GPT-5.5
Design Arena: data viz12651235GPT-5.5
Design Arena: 3D11981209MiniMax M3
Design Arena: all code categories12601247GPT-5.5
Design Arena: SVG12341161GPT-5.5
Design Arena: ASCII art12541161GPT-5.5
LiveBench design70.3%66.2%GPT-5.5
GeneralLike-for-likePublic boards, shown as published, kept out of the index323
General benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax M3Leader
LiveBench data analysis81.6%76.2%GPT-5.5
Public Benefits Bench (Vals AI)60.9%64.1%MiniMax M3
SAGE (Vals AI)51.5%50.6%GPT-5.5
MedScribe (Vals AI)86.9%87.3%MiniMax M3
Vals Multimodal Index68.1%60.0%GPT-5.5
IFBench75.9%82.9%MiniMax M3
Long context reasoning (AA-LCR)84.3%83.0%GPT-5.5
DTBench96.0%78.9%GPT-5.5
LMCA54.3%33.7%GPT-5.5
Surface Evolver Bench88.1%55.0%GPT-5.5
Furniture assembly44.2%Not measuredOnly GPT-5.5 measured
ExploitBench47.4%Not measuredOnly GPT-5.5 measured
CL-bench Life22.2%Not measuredOnly GPT-5.5 measured
LMArena Text14711433GPT-5.5
LMArena Text: instruction following14781433GPT-5.5
LMArena Text: creative writing14551404GPT-5.5
LMArena Vision12971251GPT-5.5
LMArena Text: English14701443GPT-5.5
LMArena Text: non-English14671420GPT-5.5
LMArena Text: Chinese15341466GPT-5.5
LMArena Text: German14801428GPT-5.5
LMArena Text: Japanese14991380GPT-5.5
LMArena Text: Korean14601373GPT-5.5
LMArena Text: French14851444GPT-5.5
LMArena Text: Spanish14681433GPT-5.5
LMArena Text: Russian14731426GPT-5.5
LMArena Text: Polish14651423GPT-5.5
LMArena Text: multi-turn14761443GPT-5.5
LMArena Text: longer queries14841446GPT-5.5
LMArena Text: writing and language14661419GPT-5.5
LMArena Text: entertainment and media14491403GPT-5.5
LMArena Vision: English12921263GPT-5.5
LMArena Vision: Chinese13601311GPT-5.5
LMArena Vision: reading text13061259GPT-5.5
LMArena Vision: humor12931235GPT-5.5
LMArena Vision: recognizing things12311197GPT-5.5
LMArena Vision: creative writing13011234GPT-5.5
LMArena Document14861435GPT-5.5
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.5 and MiniMax M3
BenchmarkGPT-5.5MiniMax 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-5.5$0.020Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GPT-5.5$0.340Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.5$1.30Fits 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-5.5 and MiniMax M3
SpecificationOpenAI GPT-5.5MiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 24, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$5.00$0.30
Output $/Mtok$30.00$1.20
Coding index67.857.8
Independent measurements behind it22
Cost per solved task$1.65$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.5 better than MiniMax M3 for coding?

Pick GPT-5.5 for coding: it scores 67.8 on the Vibe Coding Index against 57.8 for MiniMax M3. Pick MiniMax M3 when output tokens cost 25.0x less, or when a solved task costs $0.56 against $1.65.

Which is cheaper, GPT-5.5 or MiniMax M3?

GPT-5.5 costs $5.00 per million input tokens and $30.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.5 costs $1.65 and MiniMax M3 $0.56.

Which has the bigger context window, GPT-5.5 or MiniMax M3?

GPT-5.5, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-5.5 vs MiniMax M3 comparison based on?

111 benchmarks have a result for both models as of October 21, 2026. GPT-5.5's coding index rests on 2 independent benchmarks and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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