Nova Micro 1.0 vs Mistral Large
Updated October 21, 2026. 33 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 42.9x less, and where what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.
- Shared results
- 33
- Nova Micro 1.0 only
- 6
- Mistral Large only
- 11
- Like-for-like categories
- 6 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
Nova Micro 1.0
Nova Micro 1.0 leads, 5.9 against 5.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Mistral Large has a GPQA Diamond result, 47.7%.
Directional only
Math
AIME
No call
Only Mistral Large has a AIME result, 9.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Large has a MMLU Pro result, 69.7%.
Directional only
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, Mistral Large $0.0050 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, Mistral Large not benchmarked.
- Widest category
- General, 9.7 points apart on average over 16 shared benchmarks.
- Widest single gap
- LMArena Text: French: Nova Micro 1.0 1238 against Mistral Large 1325, 14.5 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against Mistral Large $6.00 per million output tokens, 42.9x apart.
- Context window
- Both take 128K 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.
| Category | Nova Micro 1.0 | Bars | Mistral Large | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 2 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 4 | ||
| General | 0 | 16 | ||
| All shared boards | 5 | 28 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| LiveCodeBench (Vals AI) | Not measured | 37.1% | Only Mistral Large measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | 17.8% | Mistral Large |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: coding | 1218 | 1275 | Mistral Large |
| LMArena Text: software and IT | 1215 | 1274 | Mistral Large |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 5.8 | Nova Micro 1.0 |
| Epoch Capabilities Index | Not measured | 122.1 | Only Mistral Large measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 14.0% | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 47.7% | Only Mistral Large measured |
| GPQA Diamond (Artificial Analysis run) | 35.8% | 35.1% | Nova Micro 1.0 |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 3.5% | Nova Micro 1.0 |
| LMArena Text: hard prompts | 1191 | 1257 | Mistral Large |
| LMArena Text: expert | 1183 | 1208 | Mistral Large |
| LMArena Text: hard prompts in English | 1203 | 1268 | Mistral Large |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| AIME | Not measured | 9.2% | Only Mistral Large measured |
| MATH 500 (Vals AI) | Not measured | 74.4% | Only Mistral Large measured |
| MGSM (Vals AI) | Not measured | 87.2% | Only Mistral Large measured |
| 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 | 1261 | Mistral Large |
| LMArena Text: mathematical work | 1212 | 1257 | Mistral Large |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 69.7% | Only Mistral Large measured |
| TaxEval (Vals AI) | Not measured | 63.8% | Only Mistral Large measured |
| MedQA (Vals AI) | Not measured | 76.2% | Only Mistral Large measured |
| MMLU Pro (Artificial Analysis run) | 53.1% | 51.5% | Nova Micro 1.0 |
| MMLU | 70.8% | 68.8% | Nova Micro 1.0 |
| LMArena Text: science | 1210 | 1260 | Mistral Large |
| LMArena Text: medicine and healthcare | 1207 | 1255 | Mistral Large |
| LMArena Text: legal and government | 1221 | 1275 | Mistral Large |
| LMArena Text: business and finance | 1182 | 1238 | Mistral Large |
| Neither model has a result on the other 8 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
| Benchmark | Nova Micro 1.0 | Mistral Large | Leader |
|---|---|---|---|
| IFBench | 29.4% | Not measured | Only Nova Micro 1.0 measured |
| Long context reasoning (AA-LCR) | 13.0% | Not measured | Only Nova Micro 1.0 measured |
| DTBench | Not measured | 60.8% | Only Mistral Large measured |
| LMArena Text | 1208 | 1265 | Mistral Large |
| LMArena Text: instruction following | 1174 | 1249 | Mistral Large |
| LMArena Text: creative writing | 1172 | 1242 | Mistral Large |
| LMArena Text: English | 1224 | 1284 | Mistral Large |
| LMArena Text: non-English | 1186 | 1235 | Mistral Large |
| LMArena Text: Chinese | 1209 | 1239 | Mistral Large |
| LMArena Text: German | 1192 | 1242 | Mistral Large |
| LMArena Text: Japanese | 1154 | 1170 | Mistral Large |
| LMArena Text: Korean | 1150 | 1202 | Mistral Large |
| LMArena Text: French | 1238 | 1325 | Mistral Large |
| LMArena Text: Spanish | 1225 | 1268 | Mistral Large |
| LMArena Text: Russian | 1185 | 1252 | Mistral Large |
| LMArena Text: Polish | Not measured | 1157 | Only Mistral Large measured |
| LMArena Text: multi-turn | 1178 | 1260 | Mistral Large |
| LMArena Text: longer queries | 1205 | 1261 | Mistral Large |
| LMArena Text: writing and language | 1192 | 1261 | Mistral Large |
| LMArena Text: entertainment and media | 1163 | 1230 | Mistral Large |
| 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 Large | 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 Large |
|---|---|---|
| Maker | Amazon | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | December 5, 2024 | February 26, 2024 |
| Context window | 128K | 128K |
| Input $/Mtok | $0.035 | $2.00 |
| Output $/Mtok | $0.14 | $6.00 |
| 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 Micro 1.0 better than Mistral Large 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 42.9x less, and where what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.
Which is cheaper, Nova Micro 1.0 or Mistral Large?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; Mistral Large costs $2.00 and $6.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or Mistral Large?
Neither: both take 128K tokens.
How many benchmarks is the Nova Micro 1.0 vs Mistral Large comparison based on?
33 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 Large's on 0. Where only one model has a result, the page says so instead of naming a winner.