Enter opens the highlighted result. Esc closes.

DeepSeek V3.1 Terminus vs Mistral Medium 3.5

DeepSeek V3.1 Terminus leads Mistral Medium 3.5 on the Artificial Analysis Intelligence Index, 14.8 to 14.2, and DeepSeek V3.1 Terminus costs 7.4x less per output token ($1.0142 vs $7.50 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Mistral Medium 3.5
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
22
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
18
vs boards won of 41 shared, 1 tied

DeepSeek V3.1 Terminus or Mistral Medium 3.5: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 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 7.4x cheaper ($1.0142 vs $7.50 per million) and work measured by AA Intelligence Index or GPQA Diamond (Artificial Analysis run), where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
41
DeepSeek V3.1 Terminus only
4
Mistral Medium 3.5 only
40
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 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 28.6 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.1 Terminus 37.1% against Mistral Medium 3.5 94.2%, 57.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Mistral Medium 3.5 $7.50 per million output tokens, 7.4x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Mistral Medium 3.5 262K.

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 3.5Ties
Coding06
Intelligence10
Agentic work02
Reasoning32
Math01
Knowledge31
Web design70
General861 tie
All shared boards22181 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding Index43.546.9Mistral Medium 3.5
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%40.2%Mistral Medium 3.5
Terminal-Bench Hard (Artificial Analysis run)31.8%33.3%Mistral Medium 3.5
ALE-Bench745.2764.0Mistral Medium 3.5
LMArena Text: coding14251460Mistral Medium 3.5
LMArena Text: software and IT14261458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
AA Intelligence Index14.814.2DeepSeek V3.1 Terminus
Epoch Capabilities IndexNot measured141.4Only Mistral Medium 3.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
AA Agentic Index6.87.0Mistral Medium 3.5
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom37.1%94.2%Mistral Medium 3.5
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)79.2%74.8%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%13.8%DeepSeek V3.1 Terminus
LMArena Text: hard prompts14261436Mistral Medium 3.5
LMArena Text: expertNot measured1432Only Mistral Medium 3.5 measured
LMArena Text: hard prompts in English14321445Mistral Medium 3.5
LMArena Vision: diagramsNot measured1254Only Mistral Medium 3.5 measured
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 measured
Kagi LLM Benchmark57.4%41.4%DeepSeek V3.1 Terminus
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
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 measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math14021431Mistral Medium 3.5
LMArena Text: mathematical workNot measured1440Only Mistral Medium 3.5 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: science14511428DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681409DeepSeek V3.1 Terminus
LMArena Text: legal and government14571437DeepSeek V3.1 Terminus
LMArena Text: business and finance14141426Mistral Medium 3.5
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 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
Design Arena: websites11871142DeepSeek V3.1 Terminus
Design Arena: UI components11821079DeepSeek V3.1 Terminus
Design Arena: game dev11311079DeepSeek V3.1 Terminus
Design Arena: data viz11671120DeepSeek V3.1 Terminus
Design Arena: 3D11411061DeepSeek V3.1 Terminus
Design Arena: all code categories11751121DeepSeek V3.1 Terminus
Design Arena: SVG1065950DeepSeek V3.1 Terminus
Design Arena: ASCII artNot measured1063Only Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index86
General benchmarks for DeepSeek V3.1 Terminus and Mistral Medium 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench57.0%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)69.3%69.3%Tie
DTBench81.3%75.5%DeepSeek V3.1 Terminus
LMCA28.6%26.1%DeepSeek V3.1 Terminus
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14191421Mistral Medium 3.5
LMArena Text: instruction following14041415Mistral Medium 3.5
LMArena Text: creative writing14031374DeepSeek V3.1 Terminus
LMArena VisionNot measured1222Only Mistral Medium 3.5 measured
LMArena Text: English14291433Mistral Medium 3.5
LMArena Text: non-English14081404DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1444Only Mistral Medium 3.5 measured
LMArena Text: GermanNot measured1453Only Mistral Medium 3.5 measured
LMArena Text: KoreanNot measured1384Only Mistral Medium 3.5 measured
LMArena Text: FrenchNot measured1448Only Mistral Medium 3.5 measured
LMArena Text: SpanishNot measured1411Only Mistral Medium 3.5 measured
LMArena Text: Russian14351395DeepSeek V3.1 Terminus
LMArena Text: Polish14271430Mistral Medium 3.5
LMArena Text: multi-turn14111423Mistral Medium 3.5
LMArena Text: longer queries14221415DeepSeek V3.1 Terminus
LMArena Text: writing and language14091384DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911382DeepSeek V3.1 Terminus
LMArena Vision: EnglishNot measured1240Only Mistral Medium 3.5 measured
LMArena Vision: ChineseNot measured1244Only Mistral Medium 3.5 measured
LMArena Vision: reading textNot measured1233Only Mistral Medium 3.5 measured
LMArena Vision: humorNot measured1216Only Mistral Medium 3.5 measured
LMArena Vision: creative writingNot measured1198Only Mistral Medium 3.5 measured
Neither model has a result on the other 16 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 3.5
BenchmarkDeepSeek V3.1 TerminusMistral Medium 3.5Leader
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
Mistral Medium 3.5$0.0053Fits 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 3.5$0.098Fits 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 3.5$0.375Fits in one request

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 3.5
SpecificationDeepSeek V3.1 TerminusMistral Medium 3.5
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 22, 2025April 30, 2026
Context window164K262K
Input $/Mtok$0.3063$1.50
Output $/Mtok$1.0142$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it03
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Mistral Medium 3.5 for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 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 7.4x cheaper ($1.0142 vs $7.50 per million) and work measured by AA Intelligence Index or GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, DeepSeek V3.1 Terminus or Mistral Medium 3.5?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, DeepSeek V3.1 Terminus or Mistral Medium 3.5?

Mistral Medium 3.5, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Mistral Medium 3.5 comparison based on?

41 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 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next