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GPT-5.1-Codex-Mini vs MiniMax M2.5

MiniMax M2.5 leads GPT-5.1-Codex-Mini on the Artificial Analysis Intelligence Index, 22.8 to 20.4, and MiniMax M2.5 costs 1.7x less per output token ($1.20 vs $2.00 per million). Updated October 22, 2026; 17 benchmarks have a result for both.

Replace GPT-5.1-Codex-Mini Replace MiniMax M2.5
GPT-5.1-Codex-MiniOpenAI
Coding
No data
Overall
No data
Output $/M
$2.00
1
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
16
vs boards won of 17 shared

GPT-5.1-Codex-Mini or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GPT-5.1-Codex-Mini has none, so the two cannot be ranked on coding.

Pick GPT-5.1-Codex-Mini for a larger context window (400K against 205K tokens) and work measured by Terminal-Bench, where it leads.

Model AGPT-5.1-Codex-MiniOpenAINot benchmarked1 independent benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
17
GPT-5.1-Codex-Mini only
5
MiniMax M2.5 only
51
Like-for-like categories
6 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-5.1-Codex-Mini not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 32.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5.1-Codex-Mini 62.9% against MiniMax M2.5 95.3%, 32.5 points apart on a 0 to 100 scale.
Output price
GPT-5.1-Codex-Mini $2.00 against MiniMax M2.5 $1.20 per million output tokens, 1.7x apart.
Context window
GPT-5.1-Codex-Mini takes 400K tokens, MiniMax M2.5 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-5.1-Codex-MiniBarsMiniMax M2.5Ties
Coding13
Intelligence01
Agentic work01
Reasoning02
Web design07
General02
All shared boards116
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDev12441386MiniMax M2.5
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
LiveCodeBench (Artificial Analysis run)83.6%Not measuredOnly GPT-5.1-Codex-Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%34.8%MiniMax M2.5
Terminal-Bench61.6%42.7%GPT-5.1-Codex-Mini
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: codingNot measured1380Only MiniMax M2.5 measured
LMArena Text: software and ITNot measured1383Only MiniMax M2.5 measured
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTML12531414MiniMax M2.5
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
AA Intelligence Index20.422.8MiniMax M2.5
Epoch Capabilities IndexNot measured146.6Only MiniMax M2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
τ²-Bench Telecom62.9%95.3%MiniMax M2.5
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)81.3%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)18.5%20.5%MiniMax M2.5
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard promptsNot measured1372Only MiniMax M2.5 measured
LMArena Text: expertNot measured1378Only MiniMax M2.5 measured
LMArena Text: hard prompts in EnglishNot measured1384Only MiniMax M2.5 measured
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
AA Math Index91.7Not measuredOnly GPT-5.1-Codex-Mini measured
AIME 2025 (Artificial Analysis run)91.7%Not measuredOnly GPT-5.1-Codex-Mini measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: mathNot measured1378Only MiniMax M2.5 measured
LMArena Text: mathematical workNot measured1378Only MiniMax M2.5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
MMLU Pro (Artificial Analysis run)82.0%Not measuredOnly GPT-5.1-Codex-Mini measured
LMArena Text: scienceNot measured1369Only MiniMax M2.5 measured
LMArena Text: medicine and healthcareNot measured1357Only MiniMax M2.5 measured
LMArena Text: legal and governmentNot measured1366Only MiniMax M2.5 measured
LMArena Text: business and financeNot measured1356Only MiniMax M2.5 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
Design Arena: websites11111222MiniMax M2.5
Design Arena: UI components10781173MiniMax M2.5
Design Arena: game dev10921176MiniMax M2.5
Design Arena: data viz10971172MiniMax M2.5
Design Arena: 3D9881170MiniMax M2.5
Design Arena: all code categories10931207MiniMax M2.5
Design Arena: SVG9781150MiniMax M2.5
Design Arena: ASCII art1105Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
IFBench67.9%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)66.7%73.3%MiniMax M2.5
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena TextNot measured1359Only MiniMax M2.5 measured
LMArena Text: instruction followingNot measured1353Only MiniMax M2.5 measured
LMArena Text: creative writingNot measured1331Only MiniMax M2.5 measured
LMArena Text: EnglishNot measured1380Only MiniMax M2.5 measured
LMArena Text: non-EnglishNot measured1338Only MiniMax M2.5 measured
LMArena Text: ChineseNot measured1393Only MiniMax M2.5 measured
LMArena Text: GermanNot measured1361Only MiniMax M2.5 measured
LMArena Text: JapaneseNot measured1171Only MiniMax M2.5 measured
LMArena Text: KoreanNot measured1233Only MiniMax M2.5 measured
LMArena Text: FrenchNot measured1363Only MiniMax M2.5 measured
LMArena Text: SpanishNot measured1353Only MiniMax M2.5 measured
LMArena Text: RussianNot measured1359Only MiniMax M2.5 measured
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turnNot measured1364Only MiniMax M2.5 measured
LMArena Text: longer queriesNot measured1366Only MiniMax M2.5 measured
LMArena Text: writing and languageNot measured1345Only MiniMax M2.5 measured
LMArena Text: entertainment and mediaNot measured1329Only MiniMax M2.5 measured
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1-Codex-Mini and MiniMax M2.5
BenchmarkGPT-5.1-Codex-MiniMiniMax M2.5Leader
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-5.1-Codex-Mini$0.0013Fits in one request
MiniMax M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.1-Codex-Mini$0.018Fits in one request
MiniMax M2.5$0.019Fits in one request

GPT-5.1-Codex-Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.1-Codex-Mini$0.070Fits in one request
MiniMax M2.5$0.072Exceeds the context window

GPT-5.1-Codex-Mini 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-5.1-Codex-Mini and MiniMax M2.5
SpecificationOpenAI GPT-5.1-Codex-MiniMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025February 12, 2026
Context window400K205K
Input $/Mtok$0.25$0.30
Output $/Mtok$2.00$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it13
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1-Codex-Mini better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GPT-5.1-Codex-Mini has none, so the two cannot be ranked on coding. Pick GPT-5.1-Codex-Mini for a larger context window (400K against 205K tokens) and work measured by Terminal-Bench, where it leads.

Which is cheaper, GPT-5.1-Codex-Mini or MiniMax M2.5?

GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, GPT-5.1-Codex-Mini or MiniMax M2.5?

GPT-5.1-Codex-Mini, with 400K tokens against 205K.

How many benchmarks is the GPT-5.1-Codex-Mini vs MiniMax M2.5 comparison based on?

17 benchmarks have a result for both models as of October 22, 2026. GPT-5.1-Codex-Mini's coding index rests on 1 independent benchmark and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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