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DeepSeek V3.1 Terminus vs Mistral Medium 3.1

DeepSeek V3.1 Terminus leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 14.8 to 9.2, and DeepSeek V3.1 Terminus costs 2.0x less per output token ($1.0142 vs $2.00 per million). Updated October 21, 2026; 44 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Mistral Medium 3.1
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
32
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
12
vs boards won of 44 shared

DeepSeek V3.1 Terminus or Mistral Medium 3.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for output tokens 2.0x cheaper ($1.0142 vs $2.00 per million) and a larger context window (164K against 131K tokens).

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
44
DeepSeek V3.1 Terminus only
1
Mistral Medium 3.1 only
30
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, Mistral Medium 3.1 not benchmarked.
Widest category
Math, 34.6 points apart on average over 3 shared benchmarks.
Widest single gap
AA Math Index: DeepSeek V3.1 Terminus 89.7 against Mistral Medium 3.1 38.3, 51.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Mistral Medium 3.1 $2.00 per million output tokens, 2.0x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Mistral Medium 3.1 131K.

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 TerminusBarsMistral Medium 3.1Ties
Coding52
Intelligence10
Agentic work11
Reasoning22
Math21
Knowledge41
Web design70
General105
All shared boards3212
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
Coding benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
AA Coding Index43.520.5DeepSeek V3.1 Terminus
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)79.8%40.6%DeepSeek V3.1 Terminus
SciCode38.0%32.4%DeepSeek V3.1 Terminus
Terminal-Bench Hard (Artificial Analysis run)31.8%10.6%DeepSeek V3.1 Terminus
ALE-Bench745.2210.2DeepSeek V3.1 Terminus
LMArena Text: coding14251433Mistral Medium 3.1
LMArena Text: software and IT14261436Mistral Medium 3.1
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
AA Intelligence Index14.89.2DeepSeek V3.1 Terminus
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
AA Agentic Index6.81.9DeepSeek V3.1 Terminus
τ²-Bench Telecom37.1%40.6%Mistral Medium 3.1
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
Reasoning benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)79.2%58.8%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%4.7%DeepSeek V3.1 Terminus
LMArena Text: hard prompts14261426Mistral Medium 3.1
LMArena Text: expertNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: hard prompts in English14321435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math Index89.738.3DeepSeek V3.1 Terminus
AIME 2025 (Artificial Analysis run)89.7%38.3%DeepSeek V3.1 Terminus
LMArena Text: math14021408Mistral Medium 3.1
LMArena Text: mathematical workNot measured1412Only Mistral Medium 3.1 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)85.1%68.3%DeepSeek V3.1 Terminus
LMArena Text: science14511444DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681449DeepSeek V3.1 Terminus
LMArena Text: legal and government14571439DeepSeek V3.1 Terminus
LMArena Text: business and finance14141418Mistral Medium 3.1
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
Design Arena: websites11871133DeepSeek V3.1 Terminus
Design Arena: UI components11821100DeepSeek V3.1 Terminus
Design Arena: game dev11311074DeepSeek V3.1 Terminus
Design Arena: data viz11671144DeepSeek V3.1 Terminus
Design Arena: 3D11411081DeepSeek V3.1 Terminus
Design Arena: all code categories11751120DeepSeek V3.1 Terminus
Design Arena: SVG1065993DeepSeek V3.1 Terminus
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index105
General benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
IFBench57.0%39.8%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)69.3%42.7%DeepSeek V3.1 Terminus
DTBench81.3%67.5%DeepSeek V3.1 Terminus
LMCA28.6%19.1%DeepSeek V3.1 Terminus
LMArena Text14191424Mistral Medium 3.1
LMArena Text: instruction following14041398DeepSeek V3.1 Terminus
LMArena Text: creative writing14031391DeepSeek V3.1 Terminus
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English14291438Mistral Medium 3.1
LMArena Text: non-English14081408Mistral Medium 3.1
LMArena Text: ChineseNot measured1447Only Mistral Medium 3.1 measured
LMArena Text: GermanNot measured1432Only Mistral Medium 3.1 measured
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: FrenchNot measured1460Only Mistral Medium 3.1 measured
LMArena Text: SpanishNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: Russian14351411DeepSeek V3.1 Terminus
LMArena Text: Polish14271430Mistral Medium 3.1
LMArena Text: multi-turn14111418Mistral Medium 3.1
LMArena Text: longer queries14221406DeepSeek V3.1 Terminus
LMArena Text: writing and language14091395DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911390DeepSeek V3.1 Terminus
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 measured
Neither model has a result on the other 17 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 Mistral Medium 3.1
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.1Leader
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
Mistral Medium 3.1$0.0014Fits 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
Mistral Medium 3.1$0.026Fits 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
Mistral Medium 3.1$0.100Exceeds 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 Mistral Medium 3.1
SpecificationDeepSeek V3.1 TerminusMistral Medium 3.1
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 22, 2025August 13, 2025
Context window164K131K
Input $/Mtok$0.3063$0.40
Output $/Mtok$1.0142$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 2.0x cheaper ($1.0142 vs $2.00 per million) and a larger context window (164K against 131K tokens).

Which is cheaper, DeepSeek V3.1 Terminus or Mistral Medium 3.1?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 Terminus or Mistral Medium 3.1?

DeepSeek V3.1 Terminus, with 164K tokens against 131K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Mistral Medium 3.1 comparison based on?

44 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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