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DeepSeek V4.1 Flash vs Mistral Medium 3.5

Updated October 21, 2026. 66 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4.1 Flash Replace Mistral Medium 3.5
DeepSeek V4.1 FlashDeepSeek
Coding
77.2
Overall
24.7
Output $/M
$0.525
66
Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
0
vs boards won of 66 shared

Decision reading

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.

Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model ADeepSeek V4.1 FlashDeepSeek77.2/1002 independent benchmarksNo cost per solved taskModel BMistral Medium 3.5Mistral AI9.2/1001 independent benchmark$6.02 per solved task
Shared results
66
DeepSeek V4.1 Flash only
35
Mistral Medium 3.5 only
14
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 V4.1 Flash 77.2 from 2 benchmarks, Mistral Medium 3.5 9.2 from 1 benchmark.
Widest category
Coding, 35.1 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 84.7% against Mistral Medium 3.5 2.9%, 81.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.525 against Mistral Medium 3.5 $7.50 per million output tokens, 14.3x apart.
Context window
DeepSeek V4.1 Flash takes 1.05M 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 V4.1 FlashBarsMistral Medium 3.5Ties
Coding100
Intelligence20
Agentic work40
Reasoning60
Math30
Knowledge50
Web design80
General280
All shared boards660
CodingLike-for-likeFour of these boards feed the Vibe Coding Index100
Coding benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
LiveBench coding90.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev16181264DeepSeek V4.1 Flash
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)84.7%2.9%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%5.1%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%Not measuredOnly DeepSeek V4.1 Flash measured
IOI (Vals AI)40.3%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)74.5%39.0%DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)46.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.4%Not measuredOnly DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)69.8%Not measuredOnly DeepSeek V4.1 Flash measured
CyberBench (Vals AI)73.7%Not measuredOnly DeepSeek V4.1 Flash measured
SciCode51.9%40.2%DeepSeek V4.1 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only Mistral Medium 3.5 measured
FrontierCode43.9%Not measuredOnly DeepSeek V4.1 Flash measured
ALE-Bench1092.3764.0DeepSeek V4.1 Flash
LMArena Text: coding15021460DeepSeek V4.1 Flash
LMArena Text: software and IT14961458DeepSeek V4.1 Flash
LMArena WebDev: React16281254DeepSeek V4.1 Flash
LMArena WebDev: HTML16121308DeepSeek V4.1 Flash
LMArena WebDev: from an image1606Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
AA Intelligence Index24.714.2DeepSeek V4.1 Flash
Epoch Capabilities Index155.9141.4DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
LiveBench research86.8%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench browser84.0%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench long agentic40.1%Not measuredOnly DeepSeek V4.1 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)53.5%32.1%DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)26.6%4.5%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)41.4%9.1%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)57.2%11.2%DeepSeek V4.1 Flash
BioMysteryBench (Vals AI)67.8%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly DeepSeek V4.1 Flash measured
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
τ²-Bench TelecomNot measured94.2%Only Mistral Medium 3.5 measured
APEX-Agents39.5%Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
LiveBench reasoning86.7%Not measuredOnly DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)21.2%Not measuredOnly DeepSeek V4.1 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured74.8%Only Mistral Medium 3.5 measured
Humanity's Last Exam (Artificial Analysis run)39.2%13.8%DeepSeek V4.1 Flash
GPQA Diamond (Epoch AI run)89.8%Not measuredOnly DeepSeek V4.1 Flash measured
ARC-AGI94.5%Not measuredOnly DeepSeek V4.1 Flash measured
ARC-AGI-272.9%Not measuredOnly DeepSeek V4.1 Flash measured
Chess puzzles48.0%Not measuredOnly DeepSeek V4.1 Flash measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: hard prompts14831436DeepSeek V4.1 Flash
LMArena Text: expert15011432DeepSeek V4.1 Flash
LMArena Text: hard prompts in English14881445DeepSeek V4.1 Flash
LMArena Vision: diagrams12971254DeepSeek V4.1 Flash
LMArena Vision: homework13071230DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
OTIS Mock AIME98.3%Not measuredOnly DeepSeek V4.1 Flash measured
FrontierMath, tiers 1 to 367.4%Not measuredOnly DeepSeek V4.1 Flash measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4.1 Flash measured
ProofBench54.0%9.0%DeepSeek V4.1 Flash
LMArena Text: math14781431DeepSeek V4.1 Flash
LMArena Text: mathematical work14851440DeepSeek V4.1 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
LegalBench (Vals AI)83.3%Not measuredOnly DeepSeek V4.1 Flash 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)41.2%33.8%DeepSeek V4.1 Flash
SimpleQA Verified42.9%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: science14691428DeepSeek V4.1 Flash
LMArena Text: medicine and healthcare14841409DeepSeek V4.1 Flash
LMArena Text: legal and government14431437DeepSeek V4.1 Flash
LMArena Text: business and finance14611426DeepSeek V4.1 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
Design Arena: websites13091142DeepSeek V4.1 Flash
Design Arena: UI components13141079DeepSeek V4.1 Flash
Design Arena: game dev13311079DeepSeek V4.1 Flash
Design Arena: data viz12901120DeepSeek V4.1 Flash
Design Arena: 3D13561061DeepSeek V4.1 Flash
Design Arena: all code categories13201122DeepSeek V4.1 Flash
Design Arena: SVG1243949DeepSeek V4.1 Flash
Design Arena: ASCII art12651062DeepSeek V4.1 Flash
LiveBench design79.2%Not measuredOnly DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5Leader
LiveBench data analysis79.3%Not measuredOnly DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)64.3%Not measuredOnly DeepSeek V4.1 Flash measured
SAGE (Vals AI)47.9%37.6%DeepSeek V4.1 Flash
MedScribe (Vals AI)85.5%67.7%DeepSeek V4.1 Flash
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBenchNot measured68.8%Only Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)84.0%69.3%DeepSeek V4.1 Flash
DTBench89.9%75.5%DeepSeek V4.1 Flash
LMCA47.0%26.1%DeepSeek V4.1 Flash
Surface Evolver Bench46.3%26.9%DeepSeek V4.1 Flash
Furniture assembly34.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text14641421DeepSeek V4.1 Flash
LMArena Text: instruction following14731415DeepSeek V4.1 Flash
LMArena Text: creative writing14371374DeepSeek V4.1 Flash
LMArena Vision12781222DeepSeek V4.1 Flash
LMArena Text: English14731433DeepSeek V4.1 Flash
LMArena Text: non-English14491404DeepSeek V4.1 Flash
LMArena Text: Chinese15011444DeepSeek V4.1 Flash
LMArena Text: German14701453DeepSeek V4.1 Flash
LMArena Text: Japanese1432Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: Korean14361384DeepSeek V4.1 Flash
LMArena Text: French14651448DeepSeek V4.1 Flash
LMArena Text: Spanish14591411DeepSeek V4.1 Flash
LMArena Text: Russian14671395DeepSeek V4.1 Flash
LMArena Text: Polish14571430DeepSeek V4.1 Flash
LMArena Text: multi-turn14611423DeepSeek V4.1 Flash
LMArena Text: longer queries14731415DeepSeek V4.1 Flash
LMArena Text: writing and language14501384DeepSeek V4.1 Flash
LMArena Text: entertainment and media14451382DeepSeek V4.1 Flash
LMArena Vision: English12881240DeepSeek V4.1 Flash
LMArena Vision: Chinese13271244DeepSeek V4.1 Flash
LMArena Vision: reading text12821233DeepSeek V4.1 Flash
LMArena Vision: humor12601216DeepSeek V4.1 Flash
LMArena Vision: creative writing12751198DeepSeek V4.1 Flash
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4.1 Flash and Mistral Medium 3.5
BenchmarkDeepSeek V4.1 FlashMistral 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 V4.1 Flash$0.0003Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.0040Fits in one request
Mistral Medium 3.5$0.098Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.015Fits in one request
Mistral Medium 3.5$0.375Fits in one request

DeepSeek V4.1 Flash 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 V4.1 Flash and Mistral Medium 3.5
SpecificationDeepSeek V4.1 FlashMistral Medium 3.5
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 10, 2026April 30, 2026
Context window1.05M262K
Input $/Mtok$0.049$1.50
Output $/Mtok$0.525$7.50
Coding index77.29.2
Independent measurements behind it21
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than Mistral Medium 3.5 for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Medium 3.5?

DeepSeek V4.1 Flash costs $0.049 per million input tokens and $0.525 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 V4.1 Flash or Mistral Medium 3.5?

DeepSeek V4.1 Flash, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4.1 Flash vs Mistral Medium 3.5 comparison based on?

66 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 2 independent benchmarks and Mistral Medium 3.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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