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GPT-5 Mini vs MiniMax M2

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Mini Replace MiniMax M2
GPT-5 MiniOpenAI
Coding
59.8
Overall
20.6
Output $/M
$2.00
38
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
9
vs boards won of 47 shared

Decision reading

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 45.3 for MiniMax M2, though on 1 benchmark against 2.

Pick MiniMax M2 when output tokens cost 2.0x less, or when what matters is SWE-bench Verified or τ²-Bench Telecom, where it leads.

Model AGPT-5 MiniOpenAI59.8/1001 independent benchmark$0.08 per solved taskModel BMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved task
Shared results
47
GPT-5 Mini only
51
MiniMax M2 only
2
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 Mini 59.8 from 1 benchmark, MiniMax M2 45.3 from 2 benchmarks.
Widest category
Agentic work, 8.4 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-5 Mini 71.1% against MiniMax M2 86.8%, 15.8 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against MiniMax M2 $1.02 per million output tokens, 2.0x apart.
Context window
GPT-5 Mini takes 400K tokens, MiniMax M2 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-5 MiniBarsMiniMax M2Ties
Coding51
Intelligence10
Agentic work02
Reasoning50
Math40
Knowledge50
Web design16
General170
All shared boards389
CodingLike-for-likeFour of these boards feed the Vibe Coding Index51
Coding benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
SWE-bench Verified59.8%61.0%MiniMax M2
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1297Only MiniMax M2 measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%82.6%GPT-5 Mini
SciCode39.0%Not measuredOnly GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%25.8%GPT-5 Mini
Terminal-Bench34.8%30.0%GPT-5 Mini
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
LMArena Text: coding14061371GPT-5 Mini
LMArena Text: software and IT13941373GPT-5 Mini
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
AA Intelligence Index20.618.6GPT-5 Mini
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
τ²-Bench Telecom71.1%86.8%MiniMax M2
Vending-Bench 2-$31$161MiniMax M2
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%77.7%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)21.5%13.7%GPT-5 Mini
GPQA Diamond (Epoch AI run)75.0%Not measuredOnly GPT-5 Mini measured
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%Not measuredOnly GPT-5 Mini measured
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801357GPT-5 Mini
LMArena Text: expert13791338GPT-5 Mini
LMArena Text: hard prompts in English13831376GPT-5 Mini
LMArena Vision: diagrams1202Not measuredOnly GPT-5 Mini measured
LMArena Vision: homework1210Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.778.3GPT-5 Mini
AIME 2025 (Artificial Analysis run)90.7%78.3%GPT-5 Mini
OTIS Mock AIME86.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tiers 1 to 346.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781351GPT-5 Mini
LMArena Text: mathematical work13801368GPT-5 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%82.0%GPT-5 Mini
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711348GPT-5 Mini
LMArena Text: medicine and healthcare13801367GPT-5 Mini
LMArena Text: legal and government13751349GPT-5 Mini
LMArena Text: business and finance13581336GPT-5 Mini
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
Design Arena: websites11251144MiniMax M2
Design Arena: UI components11061136MiniMax M2
Design Arena: game dev11301119GPT-5 Mini
Design Arena: data viz11311140MiniMax M2
Design Arena: 3D10371098MiniMax M2
Design Arena: all code categories11151135MiniMax M2
Design Arena: SVG10911098MiniMax M2
Design Arena: ASCII art1124Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%72.3%GPT-5 Mini
Long context reasoning (AA-LCR)72.3%64.3%GPT-5 Mini
DTBench80.5%Not measuredOnly GPT-5 Mini measured
LMCA34.2%Not measuredOnly GPT-5 Mini measured
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731340GPT-5 Mini
LMArena Text: instruction following13571329GPT-5 Mini
LMArena Text: creative writing13251286GPT-5 Mini
LMArena Vision1202Not measuredOnly GPT-5 Mini measured
LMArena Text: English13791364GPT-5 Mini
LMArena Text: non-English13631313GPT-5 Mini
LMArena Text: Chinese13861366GPT-5 Mini
LMArena Text: German13661357GPT-5 Mini
LMArena Text: Japanese1341Not measuredOnly GPT-5 Mini measured
LMArena Text: Korean1308Not measuredOnly GPT-5 Mini measured
LMArena Text: French13861336GPT-5 Mini
LMArena Text: Spanish13541326GPT-5 Mini
LMArena Text: Russian13621330GPT-5 Mini
LMArena Text: Polish13781312GPT-5 Mini
LMArena Text: multi-turn13631361GPT-5 Mini
LMArena Text: longer queries13551331GPT-5 Mini
LMArena Text: writing and language13441295GPT-5 Mini
LMArena Text: entertainment and media13401298GPT-5 Mini
LMArena Vision: English1216Not measuredOnly GPT-5 Mini measured
LMArena Vision: Chinese1214Not measuredOnly GPT-5 Mini measured
LMArena Vision: reading text1199Not measuredOnly GPT-5 Mini measured
LMArena Vision: humor1205Not measuredOnly GPT-5 Mini measured
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing1181Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Mini and MiniMax M2
BenchmarkGPT-5 MiniMiniMax M2Leader
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 Mini$0.0013Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
MiniMax M2$0.061Exceeds the context window

MiniMax M2 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 Mini and MiniMax M2
SpecificationOpenAI GPT-5 MiniMiniMax M2
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025October 23, 2025
Context window400K205K
Input $/Mtok$0.25$0.255
Output $/Mtok$2.00$1.02
Coding index59.845.3
Independent measurements behind it12
Cost per solved task$0.08$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Mini better than MiniMax M2 for coding?

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 45.3 for MiniMax M2, though on 1 benchmark against 2. Pick MiniMax M2 when output tokens cost 2.0x less, or when what matters is SWE-bench Verified or τ²-Bench Telecom, where it leads.

Which is cheaper, GPT-5 Mini or MiniMax M2?

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and MiniMax M2 $0.702.

Which has the bigger context window, GPT-5 Mini or MiniMax M2?

GPT-5 Mini, with 400K tokens against 205K.

How many benchmarks is the GPT-5 Mini vs MiniMax M2 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. GPT-5 Mini's coding index rests on 1 independent benchmark and MiniMax M2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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