Mistral Large 2407 vs Mistral Small 3
Mistral Large 2407 leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 7.6 to 6.7, and Mistral Small 3 costs 75.0x less per output token ($0.08 vs $6.00 per million). Updated October 21, 2026; 10 benchmarks have a result for both.
Mistral Large 2407 or Mistral Small 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Large 2407 for a larger context window (131K against 33K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run) or AA Math Index, where it leads.
- Shared results
- 10
- Mistral Large 2407 only
- 7
- 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
Mistral Large 2407
Mistral Large 2407 leads, 7.6 against 6.7.
Same board, both measured
Long documents
Listed context window
Mistral Large 2407
Mistral Large 2407 takes 131K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3
Mistral Large 2407 $0.0050, Mistral Small 3 $0.0001 per turn.
List prices
At a glance
- Coding index
- Mistral Large 2407 not benchmarked, Mistral Small 3 not benchmarked.
- Widest category
- Agentic work, 13.5 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Mistral Large 2407 33.0% against Mistral Small 3 19.6%, 13.5 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 2407 $6.00 against Mistral Small 3 $0.08 per million output tokens, 75.0x apart.
- Context window
- Mistral Large 2407 takes 131K 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 | Mistral Large 2407 | Bars | Mistral Small 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 1 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 7 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 26.7% | 25.2% | Mistral Large 2407 |
| 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 36 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.6 | 6.7 | Mistral Large 2407 |
| 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 | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 33.0% | 19.6% | Mistral Large 2407 |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 47.2% | 46.2% | Mistral Large 2407 |
| Humanity's Last Exam (Artificial Analysis run) | 2.9% | 3.8% | Mistral Small 3 |
| GPQA Diamond (Epoch AI run) | 49.0% | Not measured | Only Mistral Large 2407 measured |
| SimpleBench | 22.5% | Not measured | Only Mistral Large 2407 measured |
| 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 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| AA Math Index | 0.0 | 4.3 | Mistral Small 3 |
| AIME 2025 (Artificial Analysis run) | 0.0% | 4.3% | Mistral Small 3 |
| OTIS Mock AIME | 8.5% | Not measured | Only Mistral Large 2407 measured |
| MATH level 5 | 44.8% | Not measured | Only Mistral Large 2407 measured |
| 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 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 68.3% | 65.2% | Mistral Large 2407 |
| MMLU | 80.0% | Not measured | Only Mistral Large 2407 measured |
| 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 12 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Mistral Large 2407 | Mistral Small 3 | Leader |
|---|---|---|---|
| IFBench | 31.6% | 26.4% | Mistral Large 2407 |
| Long context reasoning (AA-LCR) | 2.0% | 0.0% | Mistral Large 2407 |
| DTBench | 61.2% | Not measured | Only Mistral Large 2407 measured |
| Creative writing (Lech Mazur) | 69.0% | Not measured | Only Mistral Large 2407 measured |
| 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 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 2407 | 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 | Mistral Large 2407 | Mistral Small 3 |
|---|---|---|
| Maker | Mistral AI | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | November 19, 2024 | January 30, 2025 |
| Context window | 131K | 33K |
| Input $/Mtok | $2.00 | $0.05 |
| Output $/Mtok | $6.00 | $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 Mistral Large 2407 better than Mistral Small 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Large 2407 for a larger context window (131K against 33K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run) or AA Math Index, where it leads.
Which is cheaper, Mistral Large 2407 or Mistral Small 3?
Mistral Large 2407 costs $2.00 per million input tokens and $6.00 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, Mistral Large 2407 or Mistral Small 3?
Mistral Large 2407, with 131K tokens against 33K.
How many benchmarks is the Mistral Large 2407 vs Mistral Small 3 comparison based on?
10 benchmarks have a result for both models as of October 21, 2026. Mistral Large 2407'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.