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Nova Premier 1.0 vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 22.5x less per output token than Nova Premier 1.0 ($0.555 vs $12.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Nova Premier 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$12.50
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
vs $12.50 vs $0.555 per 1M output tokens. Mistral Small 3.1 24B is 22.5x cheaper.

Nova Premier 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 Premier 1.0 for a larger context window (1M against 128K tokens).

No benchmark has tested both yet. Nova Premier 1.0 has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and ALE-Bench; Mistral Small 3.1 24B on LMArena Text: coding, LMArena Text: software and IT and LMArena Text: hard prompts. Compare them on price and context instead.

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 Premier 1.0 not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Nova Premier 1.0 $12.50 against Mistral Small 3.1 24B $0.555 per million output tokens, 22.5x apart.
Context window
Nova Premier 1.0 takes 1M tokens, Mistral Small 3.1 24B 128K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards measured
Coding benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly Nova Premier 1.0 measured
Terminal-Bench Hard (Artificial Analysis run)6.8%Not measuredOnly Nova Premier 1.0 measured
ALE-Bench147.4Not measuredOnly Nova Premier 1.0 measured
LMArena Text: codingNot measured1309Only Mistral Small 3.1 24B measured
LMArena Text: software and ITNot measured1301Only Mistral Small 3.1 24B measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
AA Intelligence Index9.2Not measuredOnly Nova Premier 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 measured
Agentic work benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
τ²-Bench Telecom38.3%Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Reasoning benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
GPQA Diamond (Artificial Analysis run)56.9%Not measuredOnly Nova Premier 1.0 measured
Humanity's Last Exam (Artificial Analysis run)4.2%Not measuredOnly Nova Premier 1.0 measured
LMArena Text: hard promptsNot measured1278Only Mistral Small 3.1 24B measured
LMArena Text: expertNot measured1257Only Mistral Small 3.1 24B measured
LMArena Text: hard prompts in EnglishNot measured1290Only Mistral Small 3.1 24B measured
LMArena Vision: diagramsNot measured1119Only Mistral Small 3.1 24B measured
LMArena Vision: homeworkNot measured1158Only Mistral Small 3.1 24B measured
Kagi LLM Benchmark44.8%Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Math benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
AA Math Index17.3Not measuredOnly Nova Premier 1.0 measured
AIME 2025 (Artificial Analysis run)17.3%Not measuredOnly Nova Premier 1.0 measured
LMArena Text: mathNot measured1261Only Mistral Small 3.1 24B measured
LMArena Text: mathematical workNot measured1271Only Mistral Small 3.1 24B measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
MMLU Pro (Artificial Analysis run)73.3%Not measuredOnly Nova Premier 1.0 measured
LMArena Text: scienceNot measured1265Only Mistral Small 3.1 24B measured
LMArena Text: medicine and healthcareNot measured1267Only Mistral Small 3.1 24B measured
LMArena Text: legal and governmentNot measured1271Only Mistral Small 3.1 24B measured
LMArena Text: business and financeNot measured1257Only Mistral Small 3.1 24B measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Web design benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
Design Arena: websites835Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 8 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards measured
General benchmarks for Nova Premier 1.0 and Mistral Small 3.1 24B
BenchmarkNova Premier 1.0Mistral Small 3.1 24BLeader
IFBench36.2%Not measuredOnly Nova Premier 1.0 measured
Long context reasoning (AA-LCR)34.3%Not measuredOnly Nova Premier 1.0 measured
LMArena TextNot measured1277Only Mistral Small 3.1 24B measured
LMArena Text: instruction followingNot measured1263Only Mistral Small 3.1 24B measured
LMArena Text: creative writingNot measured1252Only Mistral Small 3.1 24B measured
LMArena VisionNot measured1136Only Mistral Small 3.1 24B measured
LMArena Text: EnglishNot measured1295Only Mistral Small 3.1 24B measured
LMArena Text: non-EnglishNot measured1255Only Mistral Small 3.1 24B measured
LMArena Text: ChineseNot measured1253Only Mistral Small 3.1 24B measured
LMArena Text: GermanNot measured1266Only Mistral Small 3.1 24B measured
LMArena Text: JapaneseNot measured1208Only Mistral Small 3.1 24B measured
LMArena Text: KoreanNot measured1207Only Mistral Small 3.1 24B measured
LMArena Text: FrenchNot measured1273Only Mistral Small 3.1 24B measured
LMArena Text: SpanishNot measured1284Only Mistral Small 3.1 24B measured
LMArena Text: RussianNot measured1263Only Mistral Small 3.1 24B measured
LMArena Text: PolishNot measured1242Only Mistral Small 3.1 24B measured
LMArena Text: multi-turnNot measured1270Only Mistral Small 3.1 24B measured
LMArena Text: longer queriesNot measured1299Only Mistral Small 3.1 24B measured
LMArena Text: writing and languageNot measured1268Only Mistral Small 3.1 24B measured
LMArena Text: entertainment and mediaNot measured1250Only Mistral Small 3.1 24B measured
LMArena Vision: EnglishNot measured1157Only Mistral Small 3.1 24B measured
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

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 Premier 1.0$0.0088Fits 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 Premier 1.0$0.163Fits 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 Premier 1.0$0.625Fits 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 Premier 1.0 and Mistral Small 3.1 24B
SpecificationAmazon Nova Premier 1.0Mistral Small 3.1 24B
MakerAmazonMistral AI
WeightsNo public weights listedOpen weights
ReleasedOctober 31, 2025March 17, 2025
Context window1M128K
Input $/Mtok$2.50$0.351
Output $/Mtok$12.50$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Premier 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 Premier 1.0 for a larger context window (1M against 128K tokens).

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

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 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 Premier 1.0 or Mistral Small 3.1 24B?

Nova Premier 1.0, with 1M tokens against 128K.

Has any benchmark tested both Nova Premier 1.0 and Mistral Small 3.1 24B?

No benchmark has tested both yet. Nova Premier 1.0 has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and ALE-Bench; Mistral Small 3.1 24B on LMArena Text: coding, LMArena Text: software and IT and LMArena Text: hard prompts. Compare them on price and context instead. Data as of October 22, 2026.

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