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GPT-6.1 Sol vs MiniMax M2.7

Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-6.1 Sol Replace MiniMax M2.7
GPT-6.1 SolOpenAI
Coding
88.7
Overall
51.8
Output $/M
$10.00
49
MiniMax M2.7MiniMax
Coding
28.4
Overall
22.8
Output $/M
$1.20
0
vs boards won of 49 shared

Decision reading

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 28.4 for MiniMax M2.7.

Pick MiniMax M2.7 when output tokens cost 8.3x less.

Model AGPT-6.1 SolOpenAI88.7/1002 independent benchmarksNo cost per solved taskModel BMiniMax M2.7MiniMax28.4/1001 independent benchmark$0.64 per solved task
Shared results
49
GPT-6.1 Sol only
46
MiniMax M2.7 only
25
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-6.1 Sol 88.7 from 2 benchmarks, MiniMax M2.7 28.4 from 1 benchmark.
Widest category
Math, 40.0 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: GPT-6.1 Sol 99.0% against MiniMax M2.7 3.0%, 96.0 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against MiniMax M2.7 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-6.1 Sol takes 1.05M tokens, MiniMax M2.7 205K.

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 M2.7Ties
Coding100
Intelligence20
Agentic work40
Reasoning40
Math30
Knowledge50
Web design60
General150
All shared boards490
CodingLike-for-likeFour of these boards feed the Vibe Coding Index100
Coding benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
LiveBench coding96.0%Not measuredOnly GPT-6.1 Sol measured
LMArena WebDev17531399GPT-6.1 Sol
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Terminal-Bench 4 (Vals AI)55.0%Not measuredOnly GPT-6.1 Sol measured
Vibe Code Bench (Vals AI)88.9%11.9%GPT-6.1 Sol
Code migration (Vals AI)65.1%8.7%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%0.0%GPT-6.1 Sol
IOI (Vals AI)96.9%Not measuredOnly GPT-6.1 Sol measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
SWE-bench Multimodal (Vals AI)43.5%Not measuredOnly GPT-6.1 Sol measured
CyberBench (Vals AI)39.3%Not measuredOnly GPT-6.1 Sol measured
SciCode55.8%50.1%GPT-6.1 Sol
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierCode50.2%Not measuredOnly GPT-6.1 Sol measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-Bench2743.8599.3GPT-6.1 Sol
LMArena Text: coding14781454GPT-6.1 Sol
LMArena Text: software and IT14761446GPT-6.1 Sol
LMArena WebDev: React17541388GPT-6.1 Sol
LMArena WebDev: HTML18001401GPT-6.1 Sol
LMArena WebDev: from an image1702Not 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 M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
AA Intelligence Index51.822.8GPT-6.1 Sol
Epoch Capabilities Index168.4145.8GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Design Arena: agents building mobile apps1190Not measuredOnly GPT-6.1 Sol measured
Design Arena: spreadsheets1250Not measuredOnly GPT-6.1 Sol measured
LiveBench research83.5%Not measuredOnly GPT-6.1 Sol measured
LiveBench browser88.0%Not measuredOnly GPT-6.1 Sol measured
LiveBench long agentic73.0%Not measuredOnly GPT-6.1 Sol measured
SREBench (Vals AI)50.8%Not measuredOnly GPT-6.1 Sol measured
Finance Agent (Vals AI)52.0%27.9%GPT-6.1 Sol
Tax Agent Bench (Vals AI)21.8%6.9%GPT-6.1 Sol
Legal Research Bench (Vals AI)38.5%10.6%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%28.4%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 measured84.8%Only MiniMax M2.7 measured
APEX-Agents60.0%Not measuredOnly GPT-6.1 Sol measured
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
LiveBench reasoning92.6%Not measuredOnly GPT-6.1 Sol measured
MysteryMechanism (Vals AI)46.4%Not measuredOnly GPT-6.1 Sol measured
GPQA Diamond (Artificial Analysis run)Not measured87.4%Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)52.9%29.6%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI98.5%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI-294.2%Not measuredOnly GPT-6.1 Sol measured
Chess puzzles68.0%Not measuredOnly GPT-6.1 Sol measured
Mystery game puzzles80.0%Not measuredOnly GPT-6.1 Sol measured
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631422GPT-6.1 Sol
LMArena Text: expert14891443GPT-6.1 Sol
LMArena Text: hard prompts in English14651441GPT-6.1 Sol
LMArena Vision: diagrams1306Not measuredOnly GPT-6.1 Sol measured
LMArena Vision: homework1356Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME100.0%Not measuredOnly GPT-6.1 Sol measured
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%3.0%GPT-6.1 Sol
LMArena Text: math14891421GPT-6.1 Sol
LMArena Text: mathematical work15131437GPT-6.1 Sol
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)48.8%34.4%GPT-6.1 Sol
SimpleQA Verified73.9%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: science14441416GPT-6.1 Sol
LMArena Text: medicine and healthcare14331409GPT-6.1 Sol
LMArena Text: legal and government14711403GPT-6.1 Sol
LMArena Text: business and finance14451407GPT-6.1 Sol
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
Design Arena: websites13211243GPT-6.1 Sol
Design Arena: UI components13211210GPT-6.1 Sol
Design Arena: game dev13891210GPT-6.1 Sol
Design Arena: data viz12781233GPT-6.1 Sol
Design Arena: 3D14611195GPT-6.1 Sol
Design Arena: all code categories13451233GPT-6.1 Sol
Design Arena: SVGNot measured1136Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
LiveBench design82.1%Not measuredOnly GPT-6.1 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for GPT-6.1 Sol and MiniMax M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
Vals Index63.9%Not measuredOnly GPT-6.1 Sol measured
LiveBench data analysis82.7%Not measuredOnly GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)59.3%Not measuredOnly GPT-6.1 Sol measured
SAGE (Vals AI)46.5%Not measuredOnly GPT-6.1 Sol measured
MedScribe (Vals AI)86.5%79.9%GPT-6.1 Sol
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)84.0%78.3%GPT-6.1 Sol
DTBench96.5%Not measuredOnly GPT-6.1 Sol measured
LMCA62.8%Not measuredOnly GPT-6.1 Sol measured
Furniture assembly80.0%Not measuredOnly GPT-6.1 Sol measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14431405GPT-6.1 Sol
LMArena Text: instruction following14661405GPT-6.1 Sol
LMArena Text: creative writing14251354GPT-6.1 Sol
LMArena Vision1288Not measuredOnly GPT-6.1 Sol measured
LMArena Text: English14501426GPT-6.1 Sol
LMArena Text: non-English14331382GPT-6.1 Sol
LMArena Text: Chinese14871442GPT-6.1 Sol
LMArena Text: GermanNot measured1398Only MiniMax M2.7 measured
LMArena Text: JapaneseNot measured1260Only MiniMax M2.7 measured
LMArena Text: KoreanNot measured1314Only MiniMax M2.7 measured
LMArena Text: French14601424GPT-6.1 Sol
LMArena Text: Spanish14391402GPT-6.1 Sol
LMArena Text: Russian14571383GPT-6.1 Sol
LMArena Text: PolishNot measured1387Only MiniMax M2.7 measured
LMArena Text: multi-turn14421412GPT-6.1 Sol
LMArena Text: longer queries14581418GPT-6.1 Sol
LMArena Text: writing and language14441376GPT-6.1 Sol
LMArena Text: entertainment and media14261360GPT-6.1 Sol
LMArena Vision: English1274Not measuredOnly GPT-6.1 Sol measured
LMArena Vision: reading text1289Not measuredOnly GPT-6.1 Sol measured
LMArena Vision: creative writing1301Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 14 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 M2.7
BenchmarkGPT-6.1 SolMiniMax M2.7Leader
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 M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Sol$0.130Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Sol$0.500Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 M2.7
SpecificationOpenAI GPT-6.1 SolMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$2.00$0.30
Output $/Mtok$10.00$1.20
Coding index88.728.4
Independent measurements behind it21
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than MiniMax M2.7 for coding?

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 28.4 for MiniMax M2.7. Pick MiniMax M2.7 when output tokens cost 8.3x less.

Which is cheaper, GPT-6.1 Sol or MiniMax M2.7?

GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, GPT-6.1 Sol or MiniMax M2.7?

GPT-6.1 Sol, with 1.05M tokens against 205K.

How many benchmarks is the GPT-6.1 Sol vs MiniMax M2.7 comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. GPT-6.1 Sol's coding index rests on 2 independent benchmarks and MiniMax M2.7's on 1. Where only one model has a result, the page says so instead of naming a winner.

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