Enter opens the highlighted result. Esc closes.

DeepSeek V3.1 Terminus vs MiniMax M2.5

MiniMax M2.5 leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 22.8 to 14.8, at about the same output price ($1.20 vs $1.0142 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace MiniMax M2.5
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
23
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
13
vs boards won of 36 shared

DeepSeek V3.1 Terminus or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for output tokens 1.2x cheaper ($1.0142 vs $1.20 per million) and work measured by ALE-Bench or LMArena Text: coding, where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
36
DeepSeek V3.1 Terminus only
9
MiniMax M2.5 only
35
Like-for-like categories
8 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 V3.1 Terminus not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 58.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.1 Terminus 37.1% against MiniMax M2.5 95.3%, 58.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against MiniMax M2.5 $1.20 per million output tokens, 1.2x apart.
Context window
DeepSeek V3.1 Terminus takes 164K 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 V3.1 TerminusBarsMiniMax M2.5Ties
Coding31
Intelligence01
Agentic work01
Reasoning32
Math10
Knowledge40
Web design16
General112
All shared boards2313
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
AA Coding Index43.5Not measuredOnly DeepSeek V3.1 Terminus measured
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)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%34.8%MiniMax M2.5
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
ALE-Bench745.2618.2DeepSeek V3.1 Terminus
LMArena Text: coding14251380DeepSeek V3.1 Terminus
LMArena Text: software and IT14261383DeepSeek V3.1 Terminus
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
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 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
AA Intelligence Index14.822.8MiniMax 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 DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%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 index32
Reasoning benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)79.2%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)16.4%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 prompts14261372DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1378Only MiniMax M2.5 measured
LMArena Text: hard prompts in English14321384DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%55.2%DeepSeek V3.1 Terminus
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
AA Math Index89.7Not measuredOnly DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)89.7%Not measuredOnly DeepSeek V3.1 Terminus measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math14021378DeepSeek V3.1 Terminus
LMArena Text: mathematical workNot measured1378Only MiniMax M2.5 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax 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)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: science14511369DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681357DeepSeek V3.1 Terminus
LMArena Text: legal and government14571366DeepSeek V3.1 Terminus
LMArena Text: business and finance14141356DeepSeek V3.1 Terminus
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
Design Arena: websites11871222MiniMax M2.5
Design Arena: UI components11801170DeepSeek V3.1 Terminus
Design Arena: game dev11311176MiniMax M2.5
Design Arena: data viz11681172MiniMax M2.5
Design Arena: 3D11411170MiniMax M2.5
Design Arena: all code categories11751207MiniMax M2.5
Design Arena: SVG10651150MiniMax M2.5
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index112
General benchmarks for DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax M2.5Leader
IFBench57.0%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)69.3%73.3%MiniMax M2.5
DTBench81.3%Not measuredOnly DeepSeek V3.1 Terminus measured
LMCA28.6%Not measuredOnly DeepSeek V3.1 Terminus measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14191359DeepSeek V3.1 Terminus
LMArena Text: instruction following14041353DeepSeek V3.1 Terminus
LMArena Text: creative writing14031331DeepSeek V3.1 Terminus
LMArena Text: English14291380DeepSeek V3.1 Terminus
LMArena Text: non-English14081338DeepSeek V3.1 Terminus
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: Russian14351359DeepSeek V3.1 Terminus
LMArena Text: Polish14271334DeepSeek V3.1 Terminus
LMArena Text: multi-turn14111364DeepSeek V3.1 Terminus
LMArena Text: longer queries14221366DeepSeek V3.1 Terminus
LMArena Text: writing and language14091345DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911329DeepSeek V3.1 Terminus
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 DeepSeek V3.1 Terminus and MiniMax M2.5
BenchmarkDeepSeek V3.1 TerminusMiniMax 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 V3.1 Terminus$0.0008Fits in one request
MiniMax M2.5$0.0009Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
MiniMax M2.5$0.019Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

DeepSeek V3.1 Terminus 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 V3.1 Terminus and MiniMax M2.5
SpecificationDeepSeek V3.1 TerminusMiniMax M2.5
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025February 12, 2026
Context window164K205K
Input $/Mtok$0.3063$0.30
Output $/Mtok$1.0142$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 1.2x cheaper ($1.0142 vs $1.20 per million) and work measured by ALE-Bench or LMArena Text: coding, where it leads.

Which is cheaper, DeepSeek V3.1 Terminus or MiniMax M2.5?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 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, DeepSeek V3.1 Terminus or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs MiniMax M2.5 comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 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.

Compare next