LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

GPT-5.1-Codex vs MiniMax M2.5

Updated October 21, 2026. 19 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.1-Codex Replace MiniMax M2.5
GPT-5.1-CodexOpenAI
Coding
50.5
Overall
23.7
Output $/M
$10.00
8
MiniMax M2.5MiniMax
Coding
59.4
Overall
22.8
Output $/M
$0.95
10
vs boards won of 19 shared, 1 tied

Decision reading

Pick MiniMax M2.5 for coding: it scores 59.4 on the Vibe Coding Index against 50.5 for GPT-5.1-Codex.

Pick GPT-5.1-Codex when the context window is larger, 400K against 205K tokens, or when what matters is LiveCodeBench (Vals AI) or Terminal-Bench, where it leads.

Model AGPT-5.1-CodexOpenAI50.5/1002 independent benchmarks$0.892 per solved taskModel BMiniMax M2.5MiniMax59.4/1002 independent benchmarks$0.62 per solved task
Shared results
19
GPT-5.1-Codex only
7
MiniMax M2.5 only
48
Like-for-like categories
6 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-5.1-Codex 50.5 from 2 benchmarks, MiniMax M2.5 59.4 from 2 benchmarks.
Widest category
Agentic work, 12.3 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: GPT-5.1-Codex 1244.9 against MiniMax M2.5 618.2, 20.9 points apart on a 0 to 100 scale.
Output price
GPT-5.1-Codex $10.00 against MiniMax M2.5 $0.95 per million output tokens, 10.5x apart.
Context window
GPT-5.1-Codex 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-CodexBarsMiniMax M2.5Ties
Coding341 tie
Intelligence10
Agentic work01
Reasoning20
Web design23
General02
All shared boards8101 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index34
Coding benchmarks for GPT-5.1-Codex and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
SWE-bench Verified66.0%75.8%MiniMax M2.5
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDev13371386MiniMax M2.5
LiveCodeBench (Vals AI)85.5%79.2%GPT-5.1-Codex
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)13.1%14.8%MiniMax M2.5
LiveCodeBench (Artificial Analysis run)84.9%Not measuredOnly GPT-5.1-Codex measured
Terminal-Bench Hard (Artificial Analysis run)34.8%34.8%Tie
Terminal-Bench57.8%42.7%GPT-5.1-Codex
ALE-Bench1244.9618.2GPT-5.1-Codex
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: HTML13461414MiniMax M2.5
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-5.1-Codex and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
AA Intelligence Index23.722.8GPT-5.1-Codex
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 and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
Design Arena: agents building web apps1018Not measuredOnly GPT-5.1-Codex measured
Design Arena: agents building full-stack apps1086Not measuredOnly GPT-5.1-Codex measured
Design Arena: agents building mobile apps1191Not measuredOnly GPT-5.1-Codex measured
τ²-Bench Telecom83.0%95.3%MiniMax M2.5
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.1-Codex and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)86.0%84.8%GPT-5.1-Codex
Humanity's Last Exam (Artificial Analysis run)25.7%20.5%GPT-5.1-Codex
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
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 and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
AA Math Index95.7Not measuredOnly GPT-5.1-Codex measured
AIME 2025 (Artificial Analysis run)95.7%Not measuredOnly GPT-5.1-Codex 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 and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax 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)86.0%Not measuredOnly GPT-5.1-Codex 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 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index23
Web design benchmarks for GPT-5.1-Codex and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
Design Arena: websites11621222MiniMax M2.5
Design Arena: UI components12371172GPT-5.1-Codex
Design Arena: game dev11381176MiniMax M2.5
Design Arena: data viz12131171GPT-5.1-Codex
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categories11531207MiniMax M2.5
Design Arena: SVGNot measured1147Only MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for GPT-5.1-Codex and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax M2.5Leader
IFBench70.0%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)69.3%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 and MiniMax M2.5
BenchmarkGPT-5.1-CodexMiniMax 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$0.0063Fits in one request
MiniMax M2.5$0.0007Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.1-Codex$0.092Fits in one request
MiniMax M2.5$0.016Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-5.1-Codex$0.350Fits in one request
MiniMax M2.5$0.064Exceeds the context window

MiniMax M2.5 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 and MiniMax M2.5
SpecificationOpenAI GPT-5.1-CodexMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025February 12, 2026
Context window400K205K
Input $/Mtok$1.25$0.27
Output $/Mtok$10.00$0.95
Coding index50.559.4
Independent measurements behind it22
Cost per solved task$0.892$0.62
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick MiniMax M2.5 for coding: it scores 59.4 on the Vibe Coding Index against 50.5 for GPT-5.1-Codex. Pick GPT-5.1-Codex when the context window is larger, 400K against 205K tokens, or when what matters is LiveCodeBench (Vals AI) or Terminal-Bench, where it leads.

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

GPT-5.1-Codex costs $1.25 per million input tokens and $10.00 per million output tokens; MiniMax M2.5 costs $0.27 and $0.95. Per solved SWE-bench Verified task, GPT-5.1-Codex costs $0.892 and MiniMax M2.5 $0.62.

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

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

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

19 benchmarks have a result for both models as of October 21, 2026. GPT-5.1-Codex's coding index rests on 2 independent benchmarks and MiniMax M2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gpt-5-1-codex-vs-minimax-minimax-m2-5" title="GPT-5.1-Codex vs MiniMax M2.5, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-1-codex-vs-minimax-minimax-m2-5">LLMBenchmark.ai, GPT-5.1-Codex vs MiniMax M2.5</a></p>