DeepSeek V3 0324 vs Mistral Large 3 2512
DeepSeek V3 0324 leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 9.7 to 9.3, and DeepSeek V3 0324 costs 1.4x less per output token ($1.07 vs $1.50 per million). Updated October 22, 2026; 14 benchmarks have a result for both.
DeepSeek V3 0324 or Mistral Large 3 2512: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3 0324 for output tokens 1.4x cheaper ($1.07 vs $1.50 per million) and work measured by AA Agentic Index or GPQA Diamond, where it leads.
- Shared results
- 14
- DeepSeek V3 0324 only
- 21
- Mistral Large 3 2512 only
- 14
- 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
DeepSeek V3 0324
DeepSeek V3 0324 leads, 9.7 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
Mistral Large 3 2512
Mistral Large 3 2512 leads, 1.0 against 0.8.
Same board, both measured
Reasoning
GPQA Diamond
Mistral Large 3 2512
Mistral Large 3 2512 leads, 68.4% against 61.6%.
Same board, both measured
Math
AIME
DeepSeek V3 0324
DeepSeek V3 0324 leads, 52.2% against 42.9%.
Same board, both measured
Knowledge
MMLU Pro
Mistral Large 3 2512
Mistral Large 3 2512 leads, 79.8% against 79.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Mistral Large 3 2512 has a Design Arena: websites result, 1162.
Directional only
Long documents
Listed context window
Mistral Large 3 2512
Mistral Large 3 2512 takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3 0324
DeepSeek V3 0324 $0.0008, Mistral Large 3 2512 $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Large 3 2512 has the number, $0.77.
Directional only
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, Mistral Large 3 2512 not benchmarked.
- Widest category
- Math, 7.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- LiveCodeBench (Vals AI): DeepSeek V3 0324 65.5% against Mistral Large 3 2512 55.3%, 10.1 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against Mistral Large 3 2512 $1.50 per million output tokens, 1.4x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Mistral Large 3 2512 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 | DeepSeek V3 0324 | Bars | Mistral Large 3 2512 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| Math | 2 | 0 | ||
| Knowledge | 0 | 5 | ||
| General | 0 | 2 | ||
| All shared boards | 5 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| AA Coding Index | 21.2 | 20.1 | DeepSeek V3 0324 |
| LiveCodeBench (Vals AI) | 65.5% | 55.3% | DeepSeek V3 0324 |
| SWE-bench Verified (Vals AI) | Not measured | 41.4% | Only Mistral Large 3 2512 measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | Not measured | Only DeepSeek V3 0324 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only DeepSeek V3 0324 measured |
| WeirdML | 36.1% | Not measured | Only DeepSeek V3 0324 measured |
| ALE-Bench | Not measured | 264.7 | Only Mistral Large 3 2512 measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 9.3 | DeepSeek V3 0324 |
| 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 | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 1.0 | Mistral Large 3 2512 |
| τ²-Bench Telecom | 47.1% | Not measured | Only DeepSeek V3 0324 measured |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 68.4% | Mistral Large 3 2512 |
| MMMU Pro (Vals AI) | Not measured | 66.2% | Only Mistral Large 3 2512 measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | Not measured | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Epoch AI run) | 67.6% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 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 | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| AIME | 52.2% | 42.9% | DeepSeek V3 0324 |
| MATH 500 (Vals AI) | 88.6% | Not measured | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | 91.7% | 85.4% | DeepSeek V3 0324 |
| AA Math Index | 41.0 | Not measured | Only DeepSeek V3 0324 measured |
| AIME 2025 (Artificial Analysis run) | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| OTIS Mock AIME | 37.8% | Not measured | Only DeepSeek V3 0324 measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 79.8% | Mistral Large 3 2512 |
| LegalBench (Vals AI) | 77.7% | 79.1% | Mistral Large 3 2512 |
| CaseLaw (Vals AI) | Not measured | 61.4% | Only Mistral Large 3 2512 measured |
| CorpFin (Vals AI) | 54.7% | 61.0% | Mistral Large 3 2512 |
| TaxEval (Vals AI) | 71.1% | 73.1% | Mistral Large 3 2512 |
| MortgageTax (Vals AI) | Not measured | 52.1% | Only Mistral Large 3 2512 measured |
| MedQA (Vals AI) | 82.0% | 82.2% | Mistral Large 3 2512 |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1162 | Only Mistral Large 3 2512 measured |
| Design Arena: UI components | Not measured | 1099 | Only Mistral Large 3 2512 measured |
| Design Arena: game dev | Not measured | 1080 | Only Mistral Large 3 2512 measured |
| Design Arena: data viz | Not measured | 1136 | Only Mistral Large 3 2512 measured |
| Design Arena: 3D | Not measured | 1099 | Only Mistral Large 3 2512 measured |
| Design Arena: all code categories | Not measured | 1141 | Only Mistral Large 3 2512 measured |
| Design Arena: SVG | Not measured | 992 | Only Mistral Large 3 2512 measured |
| Design Arena: ASCII art | Not measured | 1069 | Only Mistral Large 3 2512 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 24.6% | Only Mistral Large 3 2512 measured |
| IFBench | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | 40.7% | Not measured | Only DeepSeek V3 0324 measured |
| DTBench | 64.8% | 65.1% | Mistral Large 3 2512 |
| LMCA | 15.5% | 16.7% | Mistral Large 3 2512 |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 39 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 2512 | 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
DeepSeek V3 0324 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 0324 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 | DeepSeek V3 0324 | Mistral Large 3 2512 |
|---|---|---|
| Maker | DeepSeek | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | March 24, 2025 | December 1, 2025 |
| Context window | 164K | 262K |
| Input $/Mtok | $0.27 | $0.50 |
| Output $/Mtok | $1.07 | $1.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | $0.77 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Mistral Large 3 2512 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for output tokens 1.4x cheaper ($1.07 vs $1.50 per million) and work measured by AA Agentic Index or GPQA Diamond, where it leads.
Which is cheaper, DeepSeek V3 0324 or Mistral Large 3 2512?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Cost per solved task is known for Mistral Large 3 2512 only.
Which has the bigger context window, DeepSeek V3 0324 or Mistral Large 3 2512?
Mistral Large 3 2512, with 262K tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Mistral Large 3 2512 comparison based on?
14 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and Mistral Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.