Nova Micro 1.0 vs Mistral Small 4
Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Nova Micro 1.0 has the edge where output tokens cost 4.3x less, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.
- Shared results
- 7
- Nova Micro 1.0 only
- 32
- Mistral Small 4 only
- 7
- Like-for-like categories
- 5 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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
Mistral Small 4
Mistral Small 4 leads, 11.3 against 5.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Small 4 has a AA Agentic Index result, 0.8.
Directional only
Long documents
Listed context window
Mistral Small 4
Mistral Small 4 takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, Mistral Small 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, Mistral Small 4 not benchmarked.
- Widest category
- General, 27.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): Nova Micro 1.0 35.8% against Mistral Small 4 76.9%, 41.1 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against Mistral Small 4 $0.60 per million output tokens, 4.3x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, Mistral Small 4 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.
| Category | Nova Micro 1.0 | Bars | Mistral Small 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 26.6 | Only Mistral Small 4 measured |
| Vibe Code Bench (Vals AI) | Not measured | 0.0% | Only Mistral Small 4 measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | Not measured | Only Nova Micro 1.0 measured |
| SciCode | Not measured | 38.8% | Only Mistral Small 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 17.4% | Mistral Small 4 |
| ALE-Bench | Not measured | 497.6 | Only Mistral Small 4 measured |
| LMArena Text: coding | 1218 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: software and IT | 1215 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 11.3 | Mistral Small 4 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.8 | Only Mistral Small 4 measured |
| τ²-Bench Telecom | 14.0% | 41.2% | Mistral Small 4 |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 35.8% | 76.9% | Mistral Small 4 |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 9.9% | Mistral Small 4 |
| LMArena Text: hard prompts | 1191 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: expert | 1183 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: hard prompts in English | 1203 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | Not measured | Only Nova Micro 1.0 measured |
| AIME 2025 (Artificial Analysis run) | 6.0% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: math | 1206 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: mathematical work | 1212 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.1% | Not measured | Only Nova Micro 1.0 measured |
| MMLU | 70.8% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: science | 1210 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: medicine and healthcare | 1207 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: legal and government | 1221 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: business and finance | 1182 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 11 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | Leader |
|---|---|---|---|
| IFBench | 29.4% | 48.2% | Mistral Small 4 |
| Long context reasoning (AA-LCR) | 13.0% | 49.7% | Mistral Small 4 |
| DTBench | Not measured | 70.9% | Only Mistral Small 4 measured |
| LMCA | Not measured | 20.6% | Only Mistral Small 4 measured |
| LMArena Text | 1208 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: instruction following | 1174 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: creative writing | 1172 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: English | 1224 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: non-English | 1186 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Chinese | 1209 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: German | 1192 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Japanese | 1154 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Korean | 1150 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: French | 1238 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Spanish | 1225 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Russian | 1185 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: multi-turn | 1178 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: longer queries | 1205 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: writing and language | 1192 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: entertainment and media | 1163 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | Mistral Small 4 | 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
Nova Micro 1.0 costs less
Repository review
50K input + 3K output tokens
Nova Micro 1.0 costs less
Agent loop
200K input + 10K output tokens
Nova Micro 1.0 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 Micro 1.0 | Mistral Small 4 |
|---|---|---|
| Maker | Amazon | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | December 5, 2024 | March 16, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $0.035 | $0.15 |
| Output $/Mtok | $0.14 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Micro 1.0 better than Mistral Small 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Nova Micro 1.0 has the edge where output tokens cost 4.3x less, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.
Which is cheaper, Nova Micro 1.0 or Mistral Small 4?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; Mistral Small 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or Mistral Small 4?
Mistral Small 4, with 262K tokens against 128K.
How many benchmarks is the Nova Micro 1.0 vs Mistral Small 4 comparison based on?
7 benchmarks have a result for both models as of October 21, 2026. Nova Micro 1.0's coding index rests on 0 independent benchmarks and Mistral Small 4's on 1. Where only one model has a result, the page says so instead of naming a winner.