Nova Lite 1.0 vs Mistral Large
Nova Lite 1.0 leads Mistral Large on the Artificial Analysis Intelligence Index, 6.7 to 5.8, and Nova Lite 1.0 costs 25.0x less per output token ($0.24 vs $6.00 per million). Updated October 21, 2026; 33 benchmarks have a result for both.
Nova Lite 1.0 or Mistral Large: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Lite 1.0 for output tokens 25.0x cheaper ($0.24 vs $6.00 per million) and a larger context window (300K against 128K tokens).
- Shared results
- 33
- Nova Lite 1.0 only
- 8
- Mistral Large only
- 11
- Like-for-like categories
- 6 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 Lite 1.0
Nova Lite 1.0 leads, 6.7 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
Nova Lite 1.0
Nova Lite 1.0 takes 300K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Lite 1.0
Nova Lite 1.0 $0.0002, Mistral Large $0.0050 per turn.
List prices
At a glance
- Coding index
- Nova Lite 1.0 not benchmarked, Mistral Large not benchmarked.
- Widest category
- General, 6.7 points apart on average over 16 shared benchmarks.
- Widest single gap
- LMArena Text: French: Nova Lite 1.0 1238 against Mistral Large 1325, 14.6 points apart on a 0 to 100 scale.
- Output price
- Nova Lite 1.0 $0.24 against Mistral Large $6.00 per million output tokens, 25.0x apart.
- Context window
- Nova Lite 1.0 takes 300K tokens, Mistral Large 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.
| Category | Nova Lite 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 Lite 1.0 | Mistral Large | Leader |
|---|---|---|---|
| LiveCodeBench (Vals AI) | Not measured | 37.1% | Only Mistral Large measured |
| LiveCodeBench (Artificial Analysis run) | 16.7% | 17.8% | Mistral Large |
| Terminal-Bench Hard (Artificial Analysis run) | 0.8% | Not measured | Only Nova Lite 1.0 measured |
| LMArena Text: coding | 1239 | 1275 | Mistral Large |
| LMArena Text: software and IT | 1241 | 1274 | Mistral Large |
| 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 Lite 1.0 | Mistral Large | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | 5.8 | Nova Lite 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 Lite 1.0 | Mistral Large | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 17.5% | Not measured | Only Nova Lite 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 index23
| Benchmark | Nova Lite 1.0 | Mistral Large | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 47.7% | Only Mistral Large measured |
| GPQA Diamond (Artificial Analysis run) | 43.3% | 35.1% | Nova Lite 1.0 |
| Humanity's Last Exam (Artificial Analysis run) | 4.3% | 3.5% | Nova Lite 1.0 |
| LMArena Text: hard prompts | 1220 | 1257 | Mistral Large |
| LMArena Text: expert | 1201 | 1208 | Mistral Large |
| LMArena Text: hard prompts in English | 1226 | 1268 | Mistral Large |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Lite 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 | 7.0 | Not measured | Only Nova Lite 1.0 measured |
| AIME 2025 (Artificial Analysis run) | 7.0% | Not measured | Only Nova Lite 1.0 measured |
| LMArena Text: math | 1227 | 1261 | Mistral Large |
| LMArena Text: mathematical work | 1235 | 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 Lite 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) | 59.0% | 51.5% | Nova Lite 1.0 |
| MMLU | 77.0% | 68.8% | Nova Lite 1.0 |
| LMArena Text: science | 1232 | 1260 | Mistral Large |
| LMArena Text: medicine and healthcare | 1213 | 1255 | Mistral Large |
| LMArena Text: legal and government | 1238 | 1275 | Mistral Large |
| LMArena Text: business and finance | 1219 | 1238 | Mistral Large |
| Neither model has a result on the other 9 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Lite 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 Lite 1.0 | Mistral Large | Leader |
|---|---|---|---|
| IFBench | 34.1% | Not measured | Only Nova Lite 1.0 measured |
| Long context reasoning (AA-LCR) | 19.0% | Not measured | Only Nova Lite 1.0 measured |
| DTBench | Not measured | 60.8% | Only Mistral Large measured |
| LMArena Text | 1229 | 1265 | Mistral Large |
| LMArena Text: instruction following | 1205 | 1249 | Mistral Large |
| LMArena Text: creative writing | 1197 | 1242 | Mistral Large |
| LMArena Vision | 990 | Not measured | Only Nova Lite 1.0 measured |
| LMArena Text: English | 1243 | 1284 | Mistral Large |
| LMArena Text: non-English | 1208 | 1235 | Mistral Large |
| LMArena Text: Chinese | 1225 | 1239 | Mistral Large |
| LMArena Text: German | 1229 | 1242 | Mistral Large |
| LMArena Text: Japanese | 1153 | 1170 | Mistral Large |
| LMArena Text: Korean | 1153 | 1202 | Mistral Large |
| LMArena Text: French | 1238 | 1325 | Mistral Large |
| LMArena Text: Spanish | 1226 | 1268 | Mistral Large |
| LMArena Text: Russian | 1216 | 1252 | Mistral Large |
| LMArena Text: Polish | Not measured | 1157 | Only Mistral Large measured |
| LMArena Text: multi-turn | 1199 | 1260 | Mistral Large |
| LMArena Text: longer queries | 1234 | 1261 | Mistral Large |
| LMArena Text: writing and language | 1211 | 1261 | Mistral Large |
| LMArena Text: entertainment and media | 1176 | 1230 | Mistral Large |
| LMArena Vision: English | 999 | Not measured | Only Nova Lite 1.0 measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Lite 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 Lite 1.0 costs less
Repository review
50K input + 3K output tokens
Nova Lite 1.0 costs less
Agent loop
200K input + 10K output tokens
Nova Lite 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 Lite 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 | 300K | 128K |
| Input $/Mtok | $0.06 | $2.00 |
| Output $/Mtok | $0.24 | $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 Lite 1.0 better than Mistral Large for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Lite 1.0 for output tokens 25.0x cheaper ($0.24 vs $6.00 per million) and a larger context window (300K against 128K tokens).
Which is cheaper, Nova Lite 1.0 or Mistral Large?
Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 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 Lite 1.0 or Mistral Large?
Nova Lite 1.0, with 300K tokens against 128K.
How many benchmarks is the Nova Lite 1.0 vs Mistral Large comparison based on?
33 benchmarks have a result for both models as of October 21, 2026. Nova Lite 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.