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DeepSeek V4 Pro 0813 vs MiniMax M2.5

DeepSeek V4 Pro 0813 leads MiniMax M2.5 on coding, 56.1 to 37.2 on the Vibe Coding Index, and MiniMax M2.5 costs 1.7x less per output token ($1.20 vs $1.98 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace MiniMax M2.5
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
45
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
0
vs boards won of 45 shared

DeepSeek V4 Pro 0813 or MiniMax M2.5: which to pick

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 37.2 for MiniMax M2.5.

Pick MiniMax M2.5 for output tokens 1.7x cheaper ($1.20 vs $1.98 per million).

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
45
DeepSeek V4 Pro 0813 only
33
MiniMax M2.5 only
26
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
DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Coding, 26.8 points apart on average over 9 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against MiniMax M2.5 14.8%, 67.5 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against MiniMax M2.5 $1.20 per million output tokens, 1.7x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M 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
CategoryDeepSeek V4 Pro 0813BarsMiniMax M2.5Ties
Coding90
Intelligence20
Reasoning80
Math30
Knowledge80
General150
All shared boards450
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
Coding benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDev15821386DeepSeek V4 Pro 0813
AA Coding Index68.8Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveCodeBench (Vals AI)87.5%79.2%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%74.2%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%14.8%DeepSeek V4 Pro 0813
Code migration (Vals AI)41.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.2618.2DeepSeek V4 Pro 0813
LMArena Text: coding14691380DeepSeek V4 Pro 0813
LMArena Text: software and IT14621383DeepSeek V4 Pro 0813
LMArena WebDev: React15881374DeepSeek V4 Pro 0813
LMArena WebDev: HTML15661414DeepSeek V4 Pro 0813
SWE Atlas: Codebase QnANot measured10.3%Only MiniMax M2.5 measured
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test WritingNot measured18.6%Only MiniMax M2.5 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
AA Intelligence Index36.022.8DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6146.6DeepSeek V4 Pro 0813
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
AA Agentic Index41.3Not measuredOnly DeepSeek V4 Pro 0813 measured
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Tax Agent Bench (Vals AI)26.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured95.3%Only MiniMax M2.5 measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
GPQA Diamond92.4%82.1%DeepSeek V4 Pro 0813
GPQA Diamond (Artificial Analysis run)92.8%84.8%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%20.5%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI90.5%63.7%DeepSeek V4 Pro 0813
ARC-AGI-261.3%4.9%DeepSeek V4 Pro 0813
Chess puzzles46.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts14581372DeepSeek V4 Pro 0813
LMArena Text: expert14591378DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631384DeepSeek V4 Pro 0813
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
OTIS Mock AIME98.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 364.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProofBench50.0%4.0%DeepSeek V4 Pro 0813
LMArena Text: math14411378DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431378DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
MMLU Pro87.0%80.1%DeepSeek V4 Pro 0813
LegalBench (Vals AI)82.4%80.0%DeepSeek V4 Pro 0813
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)65.4%59.6%DeepSeek V4 Pro 0813
TaxEval (Vals AI)73.1%68.2%DeepSeek V4 Pro 0813
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
MedCode (Vals AI)42.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571369DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461357DeepSeek V4 Pro 0813
LMArena Text: legal and government14591366DeepSeek V4 Pro 0813
LMArena Text: business and finance14421356DeepSeek V4 Pro 0813
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1170Only MiniMax M2.5 measured
Design Arena: game devNot measured1176Only MiniMax M2.5 measured
Design Arena: data vizNot measured1172Only MiniMax M2.5 measured
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categoriesNot measured1207Only MiniMax M2.5 measured
Design Arena: SVGNot measured1150Only 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 index150
General benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax M2.5Leader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)80.3%73.3%DeepSeek V4 Pro 0813
DTBench93.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMCA45.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14461359DeepSeek V4 Pro 0813
LMArena Text: instruction following14481353DeepSeek V4 Pro 0813
LMArena Text: creative writing14391331DeepSeek V4 Pro 0813
LMArena Text: English14571380DeepSeek V4 Pro 0813
LMArena Text: non-English14311338DeepSeek V4 Pro 0813
LMArena Text: Chinese14811393DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1361Only MiniMax M2.5 measured
LMArena Text: JapaneseNot measured1171Only MiniMax M2.5 measured
LMArena Text: Korean14491233DeepSeek V4 Pro 0813
LMArena Text: French14461363DeepSeek V4 Pro 0813
LMArena Text: Spanish14351353DeepSeek V4 Pro 0813
LMArena Text: Russian14481359DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turn14541364DeepSeek V4 Pro 0813
LMArena Text: longer queries14581366DeepSeek V4 Pro 0813
LMArena Text: writing and language14431345DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241329DeepSeek V4 Pro 0813
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and MiniMax M2.5
BenchmarkDeepSeek V4 Pro 0813MiniMax 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

DeepSeek V4 Pro 0813$0.0016Fits in one request
MiniMax M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits 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 DeepSeek V4 Pro 0813 and MiniMax M2.5
SpecificationDeepSeek V4 Pro 0813MiniMax M2.5
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026February 12, 2026
Context window1.05M205K
Input $/Mtok$0.66$0.30
Output $/Mtok$1.98$1.20
Coding index56.137.2
Independent measurements behind it53
Cost per solved task$0.10$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than MiniMax M2.5 for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 37.2 for MiniMax M2.5. Pick MiniMax M2.5 for output tokens 1.7x cheaper ($1.20 vs $1.98 per million).

Which is cheaper, DeepSeek V4 Pro 0813 or MiniMax M2.5?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and MiniMax M2.5 $0.62.

Which has the bigger context window, DeepSeek V4 Pro 0813 or MiniMax M2.5?

DeepSeek V4 Pro 0813, with 1.05M tokens against 205K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs MiniMax M2.5 comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 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/deepseek-v4-pro-0813-vs-minimax-minimax-m2-5">LLMBenchmark.ai, DeepSeek V4 Pro 0813 vs MiniMax M2.5</a></p>