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GPT-5.3-Codex vs MiniMax M2.5

GPT-5.3-Codex leads MiniMax M2.5 on coding, 60.0 to 37.2 on the Vibe Coding Index, and MiniMax M2.5 costs 11.7x less per output token ($1.20 vs $14.00 per million). Updated October 22, 2026; 24 benchmarks have a result for both.

Replace GPT-5.3-Codex Replace MiniMax M2.5
GPT-5.3-CodexOpenAI
Coding
60.0
Overall
No data
Output $/M
$14.00
16
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
8
vs boards won of 24 shared

GPT-5.3-Codex or MiniMax M2.5: which to pick

Pick GPT-5.3-Codex for coding: it scores 60.0 on the Vibe Coding Index against 37.2 for MiniMax M2.5.

Pick MiniMax M2.5 for output tokens 11.7x cheaper ($1.20 vs $14.00 per million) and work measured by τ²-Bench Telecom or Design Arena: websites, where it leads.

Model AGPT-5.3-CodexOpenAI60.0/1003 independent benchmarks$0.59 per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
24
GPT-5.3-Codex only
10
MiniMax M2.5 only
44
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-5.3-Codex 60.0 from 3 benchmarks, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 23.2 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.3-Codex 61.8% against MiniMax M2.5 14.8%, 46.9 points apart on a 0 to 100 scale.
Output price
GPT-5.3-Codex $14.00 against MiniMax M2.5 $1.20 per million output tokens, 11.7x apart.
Context window
GPT-5.3-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-5.3-CodexBarsMiniMax M2.5Ties
Coding90
Intelligence20
Agentic work11
Reasoning20
Web design07
General20
All shared boards168
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
Coding benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDev14071386GPT-5.3-Codex
LiveCodeBench (Vals AI)87.3%79.2%GPT-5.3-Codex
SWE-bench Verified (Vals AI)78.0%74.2%GPT-5.3-Codex
Vibe Code Bench (Vals AI)61.8%14.8%GPT-5.3-Codex
IOI (Vals AI)53.8%Not measuredOnly GPT-5.3-Codex measured
Terminal-Bench Hard (Artificial Analysis run)53.0%34.8%GPT-5.3-Codex
Terminal-Bench78.4%42.7%GPT-5.3-Codex
WeirdML79.3%Not measuredOnly GPT-5.3-Codex measured
ALE-Bench1655.2618.2GPT-5.3-Codex
LMArena Text: codingNot measured1380Only MiniMax M2.5 measured
LMArena Text: software and ITNot measured1383Only MiniMax M2.5 measured
LMArena WebDev: React13951374GPT-5.3-Codex
LMArena WebDev: HTML14221414GPT-5.3-Codex
LMArena WebDev: from an image1443Not measuredOnly GPT-5.3-Codex measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
AA Intelligence Index32.522.8GPT-5.3-Codex
Epoch Capabilities Index157.1146.6GPT-5.3-Codex
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
Design Arena: agents building web apps1032Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building full-stack apps983Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building mobile apps1053Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building Android apps1084Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building Godot games1124Not measuredOnly GPT-5.3-Codex measured
τ²-Bench Telecom86.0%95.3%MiniMax M2.5
METR time horizons74.5%Not measuredOnly GPT-5.3-Codex measured
Vending-Bench 2$5,940-$23GPT-5.3-Codex
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)91.5%84.8%GPT-5.3-Codex
Humanity's Last Exam (Artificial Analysis run)42.5%20.5%GPT-5.3-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
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 index4 boards, none shared
Math benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 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 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-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
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 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
Design Arena: websites11621222MiniMax M2.5
Design Arena: UI components11341173MiniMax M2.5
Design Arena: game dev11611176MiniMax M2.5
Design Arena: data viz11641172MiniMax M2.5
Design Arena: 3D10071170MiniMax M2.5
Design Arena: all code categories11441207MiniMax M2.5
Design Arena: SVG11291150MiniMax M2.5
Design Arena: ASCII art1152Not measuredOnly GPT-5.3-Codex measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for GPT-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-CodexMiniMax M2.5Leader
IFBench75.4%71.6%GPT-5.3-Codex
Long context reasoning (AA-LCR)83.3%73.3%GPT-5.3-Codex
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-5.3-Codex and MiniMax M2.5
BenchmarkGPT-5.3-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-5.3-Codex$0.0088Fits in one request
MiniMax M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.3-Codex$0.130Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-5.3-Codex$0.490Fits in one request
MiniMax M2.5$0.072Exceeds 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-5.3-Codex and MiniMax M2.5
SpecificationOpenAI GPT-5.3-CodexMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedFebruary 24, 2026February 12, 2026
Context window400K205K
Input $/Mtok$1.75$0.30
Output $/Mtok$14.00$1.20
Coding index60.037.2
Independent measurements behind it33
Cost per solved task$0.59$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.3-Codex better than MiniMax M2.5 for coding?

Pick GPT-5.3-Codex for coding: it scores 60.0 on the Vibe Coding Index against 37.2 for MiniMax M2.5. Pick MiniMax M2.5 for output tokens 11.7x cheaper ($1.20 vs $14.00 per million) and work measured by τ²-Bench Telecom or Design Arena: websites, where it leads.

Which is cheaper, GPT-5.3-Codex or MiniMax M2.5?

GPT-5.3-Codex costs $1.75 per million input tokens and $14.00 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.3-Codex costs $0.59 and MiniMax M2.5 $0.62.

Which has the bigger context window, GPT-5.3-Codex or MiniMax M2.5?

GPT-5.3-Codex, with 400K tokens against 205K.

How many benchmarks is the GPT-5.3-Codex vs MiniMax M2.5 comparison based on?

24 benchmarks have a result for both models as of October 22, 2026. GPT-5.3-Codex's coding index rests on 3 independent benchmarks 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-3-codex-vs-minimax-minimax-m2-5">LLMBenchmark.ai, GPT-5.3-Codex vs MiniMax M2.5</a></p>