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DeepSeek V4 Flash 0423 vs Mistral Medium 3.1

Updated October 21, 2026. 42 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Flash 0423 Replace Mistral Medium 3.1
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
24.4
Output $/M
$0.28
37
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
5
vs boards won of 42 shared

Decision reading

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

DeepSeek V4 Flash 0423 has the edge where output tokens cost 7.1x less, and where the context window is larger, 1.05M against 131K tokens.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
42
DeepSeek V4 Flash 0423 only
6
Mistral Medium 3.1 only
32
Like-for-like categories
8 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 V4 Flash 0423 not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 24.4 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: DeepSeek V4 Flash 0423 52.0 against Mistral Medium 3.1 20.5, 31.5 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Mistral Medium 3.1 $2.00 per million output tokens, 7.1x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M 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 V4 Flash 0423BarsMistral Medium 3.1Ties
Coding40
Intelligence10
Agentic work10
Reasoning30
Math20
Knowledge22
Web design71
General172
All shared boards375
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral Medium 3.1Leader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.020.5DeepSeek V4 Flash 0423
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
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2210.2DeepSeek V4 Flash 0423
LMArena Text: coding14571433DeepSeek V4 Flash 0423
LMArena Text: software and IT14531436DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral Medium 3.1Leader
AA Intelligence Index24.49.2DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral Medium 3.1Leader
AA Agentic Index26.31.9DeepSeek V4 Flash 0423
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral 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
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441426DeepSeek V4 Flash 0423
LMArena Text: expert14411408DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491435DeepSeek V4 Flash 0423
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
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral 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
LMArena Text: math14261408DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321412DeepSeek V4 Flash 0423
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral 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: science14461444DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481449Mistral Medium 3.1
LMArena Text: legal and government14391439Mistral Medium 3.1
LMArena Text: business and finance14251418DeepSeek V4 Flash 0423
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index71
Web design benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral Medium 3.1Leader
Design Arena: websites12081133DeepSeek V4 Flash 0423
Design Arena: UI components11651099DeepSeek V4 Flash 0423
Design Arena: game dev11971074DeepSeek V4 Flash 0423
Design Arena: data viz11271144Mistral Medium 3.1
Design Arena: 3D11891081DeepSeek V4 Flash 0423
Design Arena: all code categories12051120DeepSeek V4 Flash 0423
Design Arena: SVG1155993DeepSeek V4 Flash 0423
Design Arena: ASCII art1109997DeepSeek V4 Flash 0423
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
General benchmarks for DeepSeek V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral 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
DTBench86.4%67.5%DeepSeek V4 Flash 0423
LMCA35.9%19.1%DeepSeek V4 Flash 0423
LMArena Text14321424DeepSeek V4 Flash 0423
LMArena Text: instruction following14211398DeepSeek V4 Flash 0423
LMArena Text: creative writing14031391DeepSeek V4 Flash 0423
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English14411438DeepSeek V4 Flash 0423
LMArena Text: non-English14191408DeepSeek V4 Flash 0423
LMArena Text: Chinese14631447DeepSeek V4 Flash 0423
LMArena Text: German14191432Mistral Medium 3.1
LMArena Text: Japanese13891379DeepSeek V4 Flash 0423
LMArena Text: Korean13831380DeepSeek V4 Flash 0423
LMArena Text: French14391460Mistral Medium 3.1
LMArena Text: Spanish14361433DeepSeek V4 Flash 0423
LMArena Text: Russian14271411DeepSeek V4 Flash 0423
LMArena Text: Polish14361430DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491418DeepSeek V4 Flash 0423
LMArena Text: longer queries14341406DeepSeek V4 Flash 0423
LMArena Text: writing and language14101395DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001390DeepSeek V4 Flash 0423
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 V4 Flash 0423 and Mistral Medium 3.1
BenchmarkDeepSeek V4 Flash 0423Mistral 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 V4 Flash 0423$0.0003Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Mistral Medium 3.1$0.026Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

DeepSeek V4 Flash 0423 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 Flash 0423 and Mistral Medium 3.1
SpecificationDeepSeek V4 Flash 0423Mistral Medium 3.1
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026August 13, 2025
Context window1.05M131K
Input $/Mtok$0.14$0.40
Output $/Mtok$0.28$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. DeepSeek V4 Flash 0423 has the edge where output tokens cost 7.1x less, and where the context window is larger, 1.05M against 131K tokens.

Which is cheaper, DeepSeek V4 Flash 0423 or Mistral Medium 3.1?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 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 V4 Flash 0423 or Mistral Medium 3.1?

DeepSeek V4 Flash 0423, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Mistral Medium 3.1 comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark 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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