Nova Premier 1.0 vs Mistral Small 3
Nova Premier 1.0 leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 9.2 to 6.7, and Mistral Small 3 costs 156.3x less per output token ($0.08 vs $12.50 per million). Updated October 21, 2026; 10 benchmarks have a result for both.
Nova Premier 1.0 or Mistral Small 3: 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 33K tokens).
- Shared results
- 10
- Nova Premier 1.0 only
- 4
- Mistral Small 3 only
- 26
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Nova Premier 1.0
Nova Premier 1.0 leads, 9.2 against 6.7.
Same board, both measured
Web design
Design Arena: websites
No call
Only Nova Premier 1.0 has a Design Arena: websites result, 835.
Directional only
Long documents
Listed context window
Nova Premier 1.0
Nova Premier 1.0 takes 1M tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3
Nova Premier 1.0 $0.0088, Mistral Small 3 $0.0001 per turn.
List prices
At a glance
- Coding index
- Nova Premier 1.0 not benchmarked, Mistral Small 3 not benchmarked.
- Widest category
- General, 22.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Nova Premier 1.0 34.3% against Mistral Small 3 0.0%, 34.3 points apart on a 0 to 100 scale.
- Output price
- Nova Premier 1.0 $12.50 against Mistral Small 3 $0.08 per million output tokens, 156.3x apart.
- Context window
- Nova Premier 1.0 takes 1M tokens, Mistral Small 3 33K.
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.
| Category | Nova Premier 1.0 | Bars | Mistral Small 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 10 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 31.7% | 25.2% | Nova Premier 1.0 |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | Not measured | Only Nova Premier 1.0 measured |
| ALE-Bench | 147.4 | Not measured | Only Nova Premier 1.0 measured |
| LMArena Text: coding | Not measured | 1246 | Only Mistral Small 3 measured |
| LMArena Text: software and IT | Not measured | 1248 | Only Mistral Small 3 measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 6.7 | Nova Premier 1.0 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 38.3% | 19.6% | Nova Premier 1.0 |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 56.9% | 46.2% | Nova Premier 1.0 |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 3.8% | Nova Premier 1.0 |
| LMArena Text: hard prompts | Not measured | 1233 | Only Mistral Small 3 measured |
| LMArena Text: expert | Not measured | 1202 | Only Mistral Small 3 measured |
| LMArena Text: hard prompts in English | Not measured | 1243 | Only Mistral Small 3 measured |
| Kagi LLM Benchmark | 44.8% | Not measured | Only Nova Premier 1.0 measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| AA Math Index | 17.3 | 4.3 | Nova Premier 1.0 |
| AIME 2025 (Artificial Analysis run) | 17.3% | 4.3% | Nova Premier 1.0 |
| LMArena Text: math | Not measured | 1240 | Only Mistral Small 3 measured |
| LMArena Text: mathematical work | Not measured | 1243 | Only Mistral Small 3 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 73.3% | 65.2% | Nova Premier 1.0 |
| LMArena Text: science | Not measured | 1235 | Only Mistral Small 3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1215 | Only Mistral Small 3 measured |
| LMArena Text: legal and government | Not measured | 1219 | Only Mistral Small 3 measured |
| LMArena Text: business and finance | Not measured | 1205 | Only Mistral Small 3 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, none shared
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| Design Arena: websites | 835 | Not measured | Only Nova Premier 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 index20
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| IFBench | 36.2% | 26.4% | Nova Premier 1.0 |
| Long context reasoning (AA-LCR) | 34.3% | 0.0% | Nova Premier 1.0 |
| LMArena Text | Not measured | 1234 | Only Mistral Small 3 measured |
| LMArena Text: instruction following | Not measured | 1214 | Only Mistral Small 3 measured |
| LMArena Text: creative writing | Not measured | 1194 | Only Mistral Small 3 measured |
| LMArena Text: English | Not measured | 1256 | Only Mistral Small 3 measured |
| LMArena Text: non-English | Not measured | 1198 | Only Mistral Small 3 measured |
| LMArena Text: Chinese | Not measured | 1204 | Only Mistral Small 3 measured |
| LMArena Text: German | Not measured | 1211 | Only Mistral Small 3 measured |
| LMArena Text: Japanese | Not measured | 1111 | Only Mistral Small 3 measured |
| LMArena Text: Korean | Not measured | 1188 | Only Mistral Small 3 measured |
| LMArena Text: French | Not measured | 1204 | Only Mistral Small 3 measured |
| LMArena Text: Russian | Not measured | 1216 | Only Mistral Small 3 measured |
| LMArena Text: multi-turn | Not measured | 1217 | Only Mistral Small 3 measured |
| LMArena Text: longer queries | Not measured | 1246 | Only Mistral Small 3 measured |
| LMArena Text: writing and language | Not measured | 1214 | Only Mistral Small 3 measured |
| LMArena Text: entertainment and media | Not measured | 1184 | Only Mistral Small 3 measured |
| Neither model has a result on the other 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Premier 1.0 | Mistral Small 3 | Leader |
|---|---|---|---|
| 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 Small 3 costs less
Repository review
50K input + 3K output tokens
Mistral Small 3 costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3 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.
| Specification | Amazon Nova Premier 1.0 | Mistral Small 3 |
|---|---|---|
| Maker | Amazon | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | October 31, 2025 | January 30, 2025 |
| Context window | 1M | 33K |
| Input $/Mtok | $2.50 | $0.05 |
| Output $/Mtok | $12.50 | $0.08 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Premier 1.0 better than Mistral Small 3 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 33K tokens).
Which is cheaper, Nova Premier 1.0 or Mistral Small 3?
Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Premier 1.0 or Mistral Small 3?
Nova Premier 1.0, with 1M tokens against 33K.
How many benchmarks is the Nova Premier 1.0 vs Mistral Small 3 comparison based on?
10 benchmarks have a result for both models as of October 21, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.