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DeepSeek V3 vs Mistral Medium 3.1

Updated October 21, 2026. 9 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3 Replace Mistral Medium 3.1
DeepSeek V3DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.9594
1
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
8
vs boards won of 9 shared

Decision reading

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

DeepSeek V3 has the edge where output tokens cost 2.1x less, and where the context window is larger, 164K against 131K tokens.

Model ADeepSeek V3DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
9
DeepSeek V3 only
4
Mistral Medium 3.1 only
65
Like-for-like categories
2 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
General, 4.3 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: data viz: DeepSeek V3 1089 against Mistral Medium 3.1 1144, 6.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V3 $0.9594 against Mistral Medium 3.1 $2.00 per million output tokens, 2.1x apart.
Context window
DeepSeek V3 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 V3BarsMistral Medium 3.1Ties
Web design16
General02
All shared boards18
CodingDirectional onlySix of these boards feed the Vibe Coding Index10 boards, none shared
Coding benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral Medium 3.1Leader
Aider polyglot70.2%Not measuredOnly DeepSeek V3 measured
SWE-bench Lite30.7%Not measuredOnly DeepSeek V3 measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: codingNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: software and ITNot measured1436Only Mistral Medium 3.1 measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral Medium 3.1Leader
AA Intelligence IndexNot measured9.2Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Reasoning benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)Not measured58.8%Only Mistral Medium 3.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.7%Only Mistral Medium 3.1 measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly DeepSeek V3 measured
LMArena Text: hard promptsNot measured1426Only Mistral Medium 3.1 measured
LMArena Text: expertNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: hard prompts in EnglishNot measured1435Only Mistral Medium 3.1 measured
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral 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 IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
OTIS Mock AIME48.9%Not measuredOnly DeepSeek V3 measured
LMArena Text: mathNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: mathematical workNot measured1412Only Mistral Medium 3.1 measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral 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)Not measured68.3%Only Mistral Medium 3.1 measured
LMArena Text: scienceNot measured1444Only Mistral Medium 3.1 measured
LMArena Text: medicine and healthcareNot measured1449Only Mistral Medium 3.1 measured
LMArena Text: legal and governmentNot measured1439Only Mistral Medium 3.1 measured
LMArena Text: business and financeNot measured1418Only Mistral Medium 3.1 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral Medium 3.1Leader
Design Arena: websites11201133Mistral Medium 3.1
Design Arena: UI components10931099Mistral Medium 3.1
Design Arena: game dev10531074Mistral Medium 3.1
Design Arena: data viz10891144Mistral Medium 3.1
Design Arena: 3D10871081DeepSeek V3
Design Arena: all code categories11081120Mistral Medium 3.1
Design Arena: SVG977993Mistral Medium 3.1
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 index02
General benchmarks for DeepSeek V3 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral Medium 3.1Leader
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)Not measured42.7%Only Mistral Medium 3.1 measured
DTBench62.7%67.5%Mistral Medium 3.1
LMCA15.2%19.1%Mistral Medium 3.1
LMArena TextNot measured1424Only Mistral Medium 3.1 measured
LMArena Text: instruction followingNot measured1398Only Mistral Medium 3.1 measured
LMArena Text: creative writingNot measured1391Only Mistral Medium 3.1 measured
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: EnglishNot measured1438Only Mistral Medium 3.1 measured
LMArena Text: non-EnglishNot measured1408Only Mistral Medium 3.1 measured
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: RussianNot measured1411Only Mistral Medium 3.1 measured
LMArena Text: PolishNot measured1430Only Mistral Medium 3.1 measured
LMArena Text: multi-turnNot measured1418Only Mistral Medium 3.1 measured
LMArena Text: longer queriesNot measured1406Only Mistral Medium 3.1 measured
LMArena Text: writing and languageNot measured1395Only Mistral Medium 3.1 measured
LMArena Text: entertainment and mediaNot measured1390Only Mistral Medium 3.1 measured
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 and Mistral Medium 3.1
BenchmarkDeepSeek V3Mistral 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$0.0008Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

DeepSeek V3 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3$0.017Fits in one request
Mistral Medium 3.1$0.026Fits in one request

DeepSeek V3 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3$0.067Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

DeepSeek V3 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 and Mistral Medium 3.1
SpecificationDeepSeek V3Mistral Medium 3.1
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedDecember 26, 2024August 13, 2025
Context window164K131K
Input $/Mtok$0.2887$0.40
Output $/Mtok$0.9594$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. DeepSeek V3 has the edge where output tokens cost 2.1x less, and where the context window is larger, 164K against 131K tokens.

Which is cheaper, DeepSeek V3 or Mistral Medium 3.1?

DeepSeek V3 costs $0.2887 per million input tokens and $0.9594 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 or Mistral Medium 3.1?

DeepSeek V3, with 164K tokens against 131K.

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

9 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3'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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