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DeepSeek V4 Pro 0813 vs Mistral Medium 3.5

DeepSeek V4 Pro 0813 leads Mistral Medium 3.5 on coding, 56.1 to 25.5 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 3.8x less per output token ($1.98 vs $7.50 per million). Updated October 21, 2026; 54 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace Mistral Medium 3.5
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
53
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
1
vs boards won of 54 shared

DeepSeek V4 Pro 0813 or Mistral Medium 3.5: which to pick

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for work measured by LMArena Text: French, where it leads.

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
54
DeepSeek V4 Pro 0813 only
24
Mistral Medium 3.5 only
27
Like-for-like categories
7 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 V4 Pro 0813 56.1 from 5 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Coding, 30.1 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against Mistral Medium 3.5 2.9%, 79.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Mistral Medium 3.5 $7.50 per million output tokens, 3.8x apart.
Context window
DeepSeek V4 Pro 0813 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 Pro 0813BarsMistral Medium 3.5Ties
Coding120
Intelligence20
Agentic work50
Reasoning60
Math30
Knowledge80
General171
All shared boards531
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
LMArena WebDev15821264DeepSeek V4 Pro 0813
AA Coding Index68.846.9DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SWE-bench Verified (Vals AI)96.4%66.4%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%2.9%DeepSeek V4 Pro 0813
Code migration (Vals AI)41.5%5.1%DeepSeek V4 Pro 0813
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%39.0%DeepSeek V4 Pro 0813
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%40.2%DeepSeek V4 Pro 0813
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only Mistral Medium 3.5 measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.2764.0DeepSeek V4 Pro 0813
LMArena Text: coding14691460DeepSeek V4 Pro 0813
LMArena Text: software and IT14621458DeepSeek V4 Pro 0813
LMArena WebDev: React15881254DeepSeek V4 Pro 0813
LMArena WebDev: HTML15661308DeepSeek V4 Pro 0813
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
AA Intelligence Index36.014.2DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6141.4DeepSeek V4 Pro 0813
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
AA Agentic Index41.37.0DeepSeek V4 Pro 0813
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%32.1%DeepSeek V4 Pro 0813
Tax Agent Bench (Vals AI)26.8%4.5%DeepSeek V4 Pro 0813
Legal Research Bench (Vals AI)40.9%9.1%DeepSeek V4 Pro 0813
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%11.2%DeepSeek V4 Pro 0813
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured94.2%Only Mistral Medium 3.5 measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
GPQA Diamond92.4%34.9%DeepSeek V4 Pro 0813
GPQA Diamond (Artificial Analysis run)92.8%74.8%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%13.8%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI90.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI-261.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Chess puzzles46.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts14581436DeepSeek V4 Pro 0813
LMArena Text: expert14591432DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631445DeepSeek V4 Pro 0813
LMArena Vision: diagramsNot measured1254Only Mistral Medium 3.5 measured
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 measured
Kagi LLM BenchmarkNot measured41.4%Only Mistral Medium 3.5 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
OTIS Mock AIME98.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 364.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProofBench50.0%9.0%DeepSeek V4 Pro 0813
LMArena Text: math14411431DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431440DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
MMLU Pro87.0%75.3%DeepSeek V4 Pro 0813
LegalBench (Vals AI)82.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)65.4%58.8%DeepSeek V4 Pro 0813
TaxEval (Vals AI)73.1%68.0%DeepSeek V4 Pro 0813
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)42.5%33.8%DeepSeek V4 Pro 0813
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571428DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461409DeepSeek V4 Pro 0813
LMArena Text: legal and government14591437DeepSeek V4 Pro 0813
LMArena Text: business and finance14421426DeepSeek V4 Pro 0813
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
Design Arena: websitesNot measured1142Only Mistral Medium 3.5 measured
Design Arena: UI componentsNot measured1079Only Mistral Medium 3.5 measured
Design Arena: game devNot measured1079Only Mistral Medium 3.5 measured
Design Arena: data vizNot measured1120Only Mistral Medium 3.5 measured
Design Arena: 3DNot measured1061Only Mistral Medium 3.5 measured
Design Arena: all code categoriesNot measured1121Only Mistral Medium 3.5 measured
Design Arena: SVGNot measured950Only Mistral Medium 3.5 measured
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 index171
General benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral Medium 3.5Leader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)80.2%67.7%DeepSeek V4 Pro 0813
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)80.3%69.3%DeepSeek V4 Pro 0813
DTBench93.9%75.5%DeepSeek V4 Pro 0813
LMCA45.5%26.1%DeepSeek V4 Pro 0813
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14461421DeepSeek V4 Pro 0813
LMArena Text: instruction following14481415DeepSeek V4 Pro 0813
LMArena Text: creative writing14391374DeepSeek V4 Pro 0813
LMArena VisionNot measured1222Only Mistral Medium 3.5 measured
LMArena Text: English14571433DeepSeek V4 Pro 0813
LMArena Text: non-English14311404DeepSeek V4 Pro 0813
LMArena Text: Chinese14811444DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1453Only Mistral Medium 3.5 measured
LMArena Text: Korean14491384DeepSeek V4 Pro 0813
LMArena Text: French14461448Mistral Medium 3.5
LMArena Text: Spanish14351411DeepSeek V4 Pro 0813
LMArena Text: Russian14481395DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1430Only Mistral Medium 3.5 measured
LMArena Text: multi-turn14541423DeepSeek V4 Pro 0813
LMArena Text: longer queries14581415DeepSeek V4 Pro 0813
LMArena Text: writing and language14431384DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241382DeepSeek V4 Pro 0813
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 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and Mistral Medium 3.5
BenchmarkDeepSeek V4 Pro 0813Mistral 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 Pro 0813$0.0016Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Mistral Medium 3.5$0.098Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Mistral Medium 3.5$0.375Fits in one request

DeepSeek V4 Pro 0813 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 Pro 0813 and Mistral Medium 3.5
SpecificationDeepSeek V4 Pro 0813Mistral Medium 3.5
MakerDeepSeekMistral AI
WeightsOpen weightsNo public weights listed
ReleasedAugust 12, 2026April 30, 2026
Context window1.05M262K
Input $/Mtok$0.66$1.50
Output $/Mtok$1.98$7.50
Coding index56.125.5
Independent measurements behind it53
Cost per solved task$0.10$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Mistral Medium 3.5 for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for work measured by LMArena Text: French, where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or Mistral Medium 3.5?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Mistral Medium 3.5?

DeepSeek V4 Pro 0813, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Mistral Medium 3.5 comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 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.

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