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Mistral Medium 3.5 vs Nemotron 3 Nano 30B A3B

Mistral Medium 3.5 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 14.2 to 8.9, and Nemotron 3 Nano 30B A3B costs 34.1x less per output token ($0.22 vs $7.50 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace Mistral Medium 3.5 Replace Nemotron 3 Nano 30B A3B
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
35
Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
2
vs boards won of 37 shared

Mistral Medium 3.5 or Nemotron 3 Nano 30B A3B: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding.

Pick Nemotron 3 Nano 30B A3B for output tokens 34.1x cheaper ($0.22 vs $7.50 per million) and work measured by GPQA Diamond (Artificial Analysis run) or IFBench, where it leads.

Model AMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved taskModel BNemotron 3 Nano 30B A3BNVIDIANot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
Mistral Medium 3.5 only
45
Nemotron 3 Nano 30B A3B only
5
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
Mistral Medium 3.5 25.5 from 3 benchmarks, Nemotron 3 Nano 30B A3B not benchmarked.
Widest category
Agentic work, 29.6 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Mistral Medium 3.5 94.2% against Nemotron 3 Nano 30B A3B 40.9%, 53.2 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 34.1x apart.
Context window
Both take 262K tokens.

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
CategoryMistral Medium 3.5BarsNemotron 3 Nano 30B A3BTies
Coding50
Intelligence10
Agentic work20
Reasoning41
Math20
Knowledge40
General171
All shared boards352
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
LMArena WebDev1264Not measuredOnly Mistral Medium 3.5 measured
AA Coding Index46.914.4Mistral Medium 3.5
SWE-bench Verified (Vals AI)66.4%Not measuredOnly Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)2.9%Not measuredOnly Mistral Medium 3.5 measured
Code migration (Vals AI)5.1%Not measuredOnly Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)39.0%Not measuredOnly Mistral Medium 3.5 measured
LiveCodeBench (Artificial Analysis run)Not measured74.1%Only Nemotron 3 Nano 30B A3B measured
SciCode40.2%30.6%Mistral Medium 3.5
Terminal-Bench Hard (Artificial Analysis run)33.3%13.6%Mistral Medium 3.5
ALE-Bench764.0Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: coding14601378Mistral Medium 3.5
LMArena Text: software and IT14581383Mistral Medium 3.5
LMArena WebDev: React1254Not measuredOnly Mistral Medium 3.5 measured
LMArena WebDev: HTML1308Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
AA Intelligence Index14.28.9Mistral Medium 3.5
Epoch Capabilities Index141.4Not measuredOnly Mistral Medium 3.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
AA Agentic Index7.01.0Mistral Medium 3.5
Finance Agent (Vals AI)32.1%Not measuredOnly Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)4.5%Not measuredOnly Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)9.1%Not measuredOnly Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)11.2%Not measuredOnly Mistral Medium 3.5 measured
τ²-Bench Telecom94.2%40.9%Mistral Medium 3.5
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
GPQA Diamond34.9%Not measuredOnly Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)74.8%75.7%Nemotron 3 Nano 30B A3B
Humanity's Last Exam (Artificial Analysis run)13.8%11.4%Mistral Medium 3.5
LMArena Text: hard prompts14361348Mistral Medium 3.5
LMArena Text: expert14321355Mistral Medium 3.5
LMArena Text: hard prompts in English14451376Mistral Medium 3.5
LMArena Vision: diagrams1254Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: homework1230Not measuredOnly Mistral Medium 3.5 measured
Kagi LLM Benchmark41.4%Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
AA Math IndexNot measured91.0Only Nemotron 3 Nano 30B A3B measured
AIME 2025 (Artificial Analysis run)Not measured91.0%Only Nemotron 3 Nano 30B A3B measured
ProofBench9.0%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: math14311371Mistral Medium 3.5
LMArena Text: mathematical work14401375Mistral Medium 3.5
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
MMLU Pro75.3%Not measuredOnly Mistral Medium 3.5 measured
CaseLaw (Vals AI)44.2%Not measuredOnly Mistral Medium 3.5 measured
CorpFin (Vals AI)58.8%Not measuredOnly Mistral Medium 3.5 measured
TaxEval (Vals AI)68.0%Not measuredOnly Mistral Medium 3.5 measured
MortgageTax (Vals AI)28.9%Not measuredOnly Mistral Medium 3.5 measured
MedCode (Vals AI)33.8%Not measuredOnly Mistral Medium 3.5 measured
MMLU Pro (Artificial Analysis run)Not measured79.4%Only Nemotron 3 Nano 30B A3B measured
LMArena Text: science14281353Mistral Medium 3.5
LMArena Text: medicine and healthcare14091349Mistral Medium 3.5
LMArena Text: legal and government14371341Mistral Medium 3.5
LMArena Text: business and finance14261346Mistral Medium 3.5
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
Design Arena: websites1142Not measuredOnly Mistral Medium 3.5 measured
Design Arena: UI components1076Not measuredOnly Mistral Medium 3.5 measured
Design Arena: game dev1079Not measuredOnly Mistral Medium 3.5 measured
Design Arena: data viz1121Not measuredOnly Mistral Medium 3.5 measured
Design Arena: 3D1060Not measuredOnly Mistral Medium 3.5 measured
Design Arena: all code categories1121Not measuredOnly Mistral Medium 3.5 measured
Design Arena: SVG949Not measuredOnly Mistral Medium 3.5 measured
Design Arena: ASCII art1062Not measuredOnly 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 Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
SAGE (Vals AI)37.6%Not measuredOnly Mistral Medium 3.5 measured
MedScribe (Vals AI)67.7%Not measuredOnly Mistral Medium 3.5 measured
Vals Multimodal Index34.8%Not measuredOnly Mistral Medium 3.5 measured
IFBench68.8%71.1%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)69.3%38.0%Mistral Medium 3.5
DTBench75.5%Not measuredOnly Mistral Medium 3.5 measured
LMCA26.1%Not measuredOnly Mistral Medium 3.5 measured
Surface Evolver Bench26.9%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text14211348Mistral Medium 3.5
LMArena Text: instruction following14151303Mistral Medium 3.5
LMArena Text: creative writing13741269Mistral Medium 3.5
LMArena Vision1222Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: English14331377Mistral Medium 3.5
LMArena Text: non-English14041320Mistral Medium 3.5
LMArena Text: Chinese14441383Mistral Medium 3.5
LMArena Text: German14531348Mistral Medium 3.5
LMArena Text: JapaneseNot measured1268Only Nemotron 3 Nano 30B A3B measured
LMArena Text: Korean13841269Mistral Medium 3.5
LMArena Text: French14481396Mistral Medium 3.5
LMArena Text: Spanish14111376Mistral Medium 3.5
LMArena Text: Russian13951304Mistral Medium 3.5
LMArena Text: Polish14301303Mistral Medium 3.5
LMArena Text: multi-turn14231319Mistral Medium 3.5
LMArena Text: longer queries14151300Mistral Medium 3.5
LMArena Text: writing and language13841283Mistral Medium 3.5
LMArena Text: entertainment and media13821293Mistral Medium 3.5
LMArena Vision: English1240Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: Chinese1244Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: reading text1233Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: humor1216Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: creative writing1198Not measuredOnly Mistral Medium 3.5 measured
EQ-Bench 4993Not measuredOnly 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 Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
BenchmarkMistral Medium 3.5Nemotron 3 Nano 30B A3BLeader
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

Mistral Medium 3.5$0.0053Fits in one request
Nemotron 3 Nano 30B A3B$0.0002Fits in one request

Nemotron 3 Nano 30B A3B costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.5$0.098Fits in one request
Nemotron 3 Nano 30B A3B$0.0034Fits in one request

Nemotron 3 Nano 30B A3B costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.5$0.375Fits in one request
Nemotron 3 Nano 30B A3B$0.013Fits in one request

Nemotron 3 Nano 30B A3B 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 Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B
SpecificationMistral Medium 3.5NVIDIA Nemotron 3 Nano 30B A3B
MakerMistral AINVIDIA
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026December 14, 2025
Context window262K262K
Input $/Mtok$1.50$0.055
Output $/Mtok$7.50$0.22
Coding index25.5Not benchmarked
Independent measurements behind it30
Cost per solved task$6.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.5 better than Nemotron 3 Nano 30B A3B for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding. Pick Nemotron 3 Nano 30B A3B for output tokens 34.1x cheaper ($0.22 vs $7.50 per million) and work measured by GPQA Diamond (Artificial Analysis run) or IFBench, where it leads.

Which is cheaper, Mistral Medium 3.5 or Nemotron 3 Nano 30B A3B?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Mistral Medium 3.5 or Nemotron 3 Nano 30B A3B?

Neither: both take 262K tokens.

How many benchmarks is the Mistral Medium 3.5 vs Nemotron 3 Nano 30B A3B comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3.5's coding index rests on 3 independent benchmarks and Nemotron 3 Nano 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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