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Nova Pro 1.0 vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 5.8x less per output token than Nova Pro 1.0 ($0.555 vs $3.20 per million). Updated October 21, 2026; 29 benchmarks have a result for both.

Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
1
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
28
vs boards won of 29 shared

Nova Pro 1.0 or Mistral Small 3.1 24B: which to pick

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

Pick Nova Pro 1.0 for a larger context window (300K against 128K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
29
Nova Pro 1.0 only
13
Mistral Small 3.1 24B only
9
Like-for-like categories
5 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
Nova Pro 1.0 not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
General, 6.7 points apart on average over 18 shared benchmarks.
Widest single gap
LMArena Vision: English: Nova Pro 1.0 987 against Mistral Small 3.1 24B 1157, 26.2 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Mistral Small 3.1 24B $0.555 per million output tokens, 5.8x apart.
Context window
Nova Pro 1.0 takes 300K tokens, Mistral Small 3.1 24B 128K.

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
CategoryNova Pro 1.0BarsMistral Small 3.1 24BTies
Coding02
Reasoning03
Math02
Knowledge13
General018
All shared boards128
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
LiveCodeBench (Artificial Analysis run)23.3%Not measuredOnly Nova Pro 1.0 measured
Terminal-Bench Hard (Artificial Analysis run)6.1%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: coding12701309Mistral Small 3.1 24B
LMArena Text: software and IT12711301Mistral Small 3.1 24B
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
AA Intelligence Index7.0Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
τ²-Bench Telecom14.0%Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
GPQA Diamond (Artificial Analysis run)49.9%Not measuredOnly Nova Pro 1.0 measured
Humanity's Last Exam (Artificial Analysis run)3.2%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: hard prompts12461278Mistral Small 3.1 24B
LMArena Text: expert12111257Mistral Small 3.1 24B
LMArena Text: hard prompts in English12591290Mistral Small 3.1 24B
LMArena Vision: diagramsNot measured1119Only Mistral Small 3.1 24B measured
LMArena Vision: homeworkNot measured1158Only Mistral Small 3.1 24B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
AA Math Index7.0Not measuredOnly Nova Pro 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: math12521261Mistral Small 3.1 24B
LMArena Text: mathematical work12611271Mistral Small 3.1 24B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
MMLU Pro (Artificial Analysis run)69.1%Not measuredOnly Nova Pro 1.0 measured
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551265Mistral Small 3.1 24B
LMArena Text: medicine and healthcare12601267Mistral Small 3.1 24B
LMArena Text: legal and government12811271Nova Pro 1.0
LMArena Text: business and finance12291257Mistral Small 3.1 24B
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
Design Arena: websites796Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
IFBench38.1%Not measuredOnly Nova Pro 1.0 measured
Long context reasoning (AA-LCR)21.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text12591277Mistral Small 3.1 24B
LMArena Text: instruction following12351263Mistral Small 3.1 24B
LMArena Text: creative writing12121252Mistral Small 3.1 24B
LMArena Vision9801136Mistral Small 3.1 24B
LMArena Text: English12761295Mistral Small 3.1 24B
LMArena Text: non-English12331255Mistral Small 3.1 24B
LMArena Text: Chinese12441253Mistral Small 3.1 24B
LMArena Text: German12431266Mistral Small 3.1 24B
LMArena Text: Japanese12001208Mistral Small 3.1 24B
LMArena Text: Korean12031207Mistral Small 3.1 24B
LMArena Text: French12711273Mistral Small 3.1 24B
LMArena Text: Spanish11821284Mistral Small 3.1 24B
LMArena Text: Russian12401263Mistral Small 3.1 24B
LMArena Text: PolishNot measured1242Only Mistral Small 3.1 24B measured
LMArena Text: multi-turn12461270Mistral Small 3.1 24B
LMArena Text: longer queries12551299Mistral Small 3.1 24B
LMArena Text: writing and language12471268Mistral Small 3.1 24B
LMArena Text: entertainment and media12101250Mistral Small 3.1 24B
LMArena Vision: English9871157Mistral Small 3.1 24B
LMArena Vision: ChineseNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: reading textNot measured1132Only Mistral Small 3.1 24B measured
LMArena Vision: humorNot measured1142Only Mistral Small 3.1 24B measured
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writingNot measured1123Only Mistral Small 3.1 24B measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Pro 1.0 and Mistral Small 3.1 24B
BenchmarkNova Pro 1.0Mistral Small 3.1 24BLeader
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

Nova Pro 1.0$0.0024Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Mistral Small 3.1 24B 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 Nova Pro 1.0 and Mistral Small 3.1 24B
SpecificationAmazon Nova Pro 1.0Mistral Small 3.1 24B
MakerAmazonMistral AI
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024March 17, 2025
Context window300K128K
Input $/Mtok$0.80$0.351
Output $/Mtok$3.20$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than Mistral Small 3.1 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Pro 1.0 for a larger context window (300K against 128K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Nova Pro 1.0 or Mistral Small 3.1 24B?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or Mistral Small 3.1 24B?

Nova Pro 1.0, with 300K tokens against 128K.

How many benchmarks is the Nova Pro 1.0 vs Mistral Small 3.1 24B comparison based on?

29 benchmarks have a result for both models as of October 21, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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