Mistral Large 3 2512 vs o3 Mini
o3 Mini leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 12.5 to 9.3, and Mistral Large 3 2512 costs 2.9x less per output token ($1.50 vs $4.40 per million). Updated October 22, 2026; 12 benchmarks have a result for both.
Mistral Large 3 2512 or o3 Mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Large 3 2512 for output tokens 2.9x cheaper ($1.50 vs $4.40 per million) and a larger context window (262K against 200K tokens).
- Shared results
- 12
- Mistral Large 3 2512 only
- 16
- o3 Mini only
- 59
- 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
o3 Mini
o3 Mini leads, 12.5 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Large 3 2512 has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
o3 Mini
o3 Mini leads, 75.5% against 68.4%.
Same board, both measured
Math
AIME
o3 Mini
o3 Mini leads, 86.5% against 42.9%.
Same board, both measured
Knowledge
MMLU Pro
Mistral Large 3 2512
Mistral Large 3 2512 leads, 79.8% against 78.7%.
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 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 3 2512
Mistral Large 3 2512 $0.0013, o3 Mini $0.0033 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
- Mistral Large 3 2512 not benchmarked, o3 Mini not benchmarked.
- Widest category
- Math, 24.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- AIME: Mistral Large 3 2512 42.9% against o3 Mini 86.5%, 43.5 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 3 2512 $1.50 against o3 Mini $4.40 per million output tokens, 2.9x apart.
- Context window
- Mistral Large 3 2512 takes 262K tokens, o3 Mini 200K.
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 3 2512 | Bars | o3 Mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 4 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 60.4% | Only o3 Mini measured |
| SWE-bench Verified | Not measured | 42.4% | Only o3 Mini measured |
| SWE-bench Lite | Not measured | 32.3% | Only o3 Mini measured |
| AA Coding Index | 20.1 | Not measured | Only Mistral Large 3 2512 measured |
| LiveCodeBench (Vals AI) | 55.3% | 71.5% | o3 Mini |
| SWE-bench Verified (Vals AI) | 41.4% | Not measured | Only Mistral Large 3 2512 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 73.4% | Only o3 Mini measured |
| SciCode | Not measured | 42.8% | Only o3 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 6.8% | Only o3 Mini measured |
| GSO-Bench | Not measured | 1.3% | Only o3 Mini measured |
| WeirdML | Not measured | 43.7% | Only o3 Mini measured |
| Cybench | Not measured | 22.5% | Only o3 Mini measured |
| ALE-Bench | 264.7 | Not measured | Only Mistral Large 3 2512 measured |
| LMArena Text: coding | Not measured | 1378 | Only o3 Mini measured |
| LMArena Text: software and IT | Not measured | 1364 | Only o3 Mini measured |
| SciCode | Not measured | 7.7% | Only o3 Mini measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 12.5 | o3 Mini |
| Epoch Capabilities Index | Not measured | 140.2 | Only o3 Mini measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Mistral Large 3 2512 measured |
| τ²-Bench Telecom | Not measured | 31.3% | Only o3 Mini measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 68.4% | 75.5% | o3 Mini |
| MMMU Pro (Vals AI) | 66.2% | Not measured | Only Mistral Large 3 2512 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 77.3% | Only o3 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 12.0% | Only o3 Mini measured |
| GPQA Diamond (Epoch AI run) | Not measured | 77.0% | Only o3 Mini measured |
| ARC-AGI | Not measured | 34.5% | Only o3 Mini measured |
| ARC-AGI-2 | Not measured | 3.0% | Only o3 Mini measured |
| SimpleBench | Not measured | 22.8% | Only o3 Mini measured |
| Chess puzzles | Not measured | 15.0% | Only o3 Mini measured |
| Mystery game puzzles | Not measured | 7.0% | Only o3 Mini measured |
| LMArena Text: hard prompts | Not measured | 1365 | Only o3 Mini measured |
| LMArena Text: expert | Not measured | 1364 | Only o3 Mini measured |
| LMArena Text: hard prompts in English | Not measured | 1375 | Only o3 Mini measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| AIME | 42.9% | 86.5% | o3 Mini |
| MATH 500 (Vals AI) | Not measured | 91.8% | Only o3 Mini measured |
| MGSM (Vals AI) | 85.4% | 91.3% | o3 Mini |
| OTIS Mock AIME | Not measured | 76.9% | Only o3 Mini measured |
| FrontierMath, tiers 1 to 3 | Not measured | 18.6% | Only o3 Mini measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only o3 Mini measured |
| MATH level 5 | Not measured | 96.5% | Only o3 Mini measured |
| LMArena Text: math | Not measured | 1396 | Only o3 Mini measured |
| LMArena Text: mathematical work | Not measured | 1399 | Only o3 Mini measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 79.8% | 78.7% | Mistral Large 3 2512 |
| LegalBench (Vals AI) | 79.1% | 71.5% | Mistral Large 3 2512 |
| CaseLaw (Vals AI) | 61.4% | Not measured | Only Mistral Large 3 2512 measured |
| CorpFin (Vals AI) | 61.0% | 45.3% | Mistral Large 3 2512 |
| TaxEval (Vals AI) | 73.1% | 69.4% | Mistral Large 3 2512 |
| MortgageTax (Vals AI) | 52.1% | Not measured | Only Mistral Large 3 2512 measured |
| MedQA (Vals AI) | 82.2% | 94.8% | o3 Mini |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.2% | Only o3 Mini measured |
| SimpleQA Verified | Not measured | 15.3% | Only o3 Mini measured |
| LMArena Text: science | Not measured | 1339 | Only o3 Mini measured |
| LMArena Text: medicine and healthcare | Not measured | 1330 | Only o3 Mini measured |
| LMArena Text: legal and government | Not measured | 1328 | Only o3 Mini measured |
| LMArena Text: business and finance | Not measured | 1313 | Only o3 Mini measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1162 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: UI components | 1099 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: game dev | 1080 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: data viz | 1136 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: 3D | 1099 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: all code categories | 1141 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: SVG | 992 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: ASCII art | 1069 | Not measured | 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 | Mistral Large 3 2512 | o3 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 24.6% | Not measured | Only Mistral Large 3 2512 measured |
| IFBench | Not measured | 67.1% | Only o3 Mini measured |
| Long context reasoning (AA-LCR) | Not measured | 43.0% | Only o3 Mini measured |
| DTBench | 65.1% | 68.8% | o3 Mini |
| LMCA | 16.7% | 19.0% | o3 Mini |
| Fiction.LiveBench | Not measured | 50.0% | Only o3 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 61.7% | Only o3 Mini measured |
| LMArena Text | Not measured | 1337 | Only o3 Mini measured |
| LMArena Text: instruction following | Not measured | 1337 | Only o3 Mini measured |
| LMArena Text: creative writing | Not measured | 1286 | Only o3 Mini measured |
| LMArena Text: English | Not measured | 1351 | Only o3 Mini measured |
| LMArena Text: non-English | Not measured | 1319 | Only o3 Mini measured |
| LMArena Text: Chinese | Not measured | 1379 | Only o3 Mini measured |
| LMArena Text: German | Not measured | 1303 | Only o3 Mini measured |
| LMArena Text: Japanese | Not measured | 1286 | Only o3 Mini measured |
| LMArena Text: Korean | Not measured | 1313 | Only o3 Mini measured |
| LMArena Text: French | Not measured | 1334 | Only o3 Mini measured |
| LMArena Text: Spanish | Not measured | 1321 | Only o3 Mini measured |
| LMArena Text: Russian | Not measured | 1304 | Only o3 Mini measured |
| LMArena Text: Polish | Not measured | 1294 | Only o3 Mini measured |
| LMArena Text: multi-turn | Not measured | 1320 | Only o3 Mini measured |
| LMArena Text: longer queries | Not measured | 1343 | Only o3 Mini measured |
| LMArena Text: writing and language | Not measured | 1313 | Only o3 Mini measured |
| LMArena Text: entertainment and media | Not measured | 1283 | Only o3 Mini measured |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 3 2512 | o3 Mini | 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 Large 3 2512 costs less
Repository review
50K input + 3K output tokens
Mistral Large 3 2512 costs less
Agent loop
200K input + 10K output tokens
Mistral Large 3 2512 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 3 2512 | OpenAI o3 Mini |
|---|---|---|
| Maker | Mistral AI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | December 1, 2025 | January 31, 2025 |
| Context window | 262K | 200K |
| Input $/Mtok | $0.50 | $1.10 |
| Output $/Mtok | $1.50 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $0.77 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 3 2512 better than o3 Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 2.9x cheaper ($1.50 vs $4.40 per million) and a larger context window (262K against 200K tokens).
Which is cheaper, Mistral Large 3 2512 or o3 Mini?
Mistral Large 3 2512 costs $0.50 per million input tokens and $1.50 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for Mistral Large 3 2512 only.
Which has the bigger context window, Mistral Large 3 2512 or o3 Mini?
Mistral Large 3 2512, with 262K tokens against 200K.
How many benchmarks is the Mistral Large 3 2512 vs o3 Mini comparison based on?
12 benchmarks have a result for both models as of October 22, 2026. Mistral Large 3 2512's coding index rests on 1 independent benchmark and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.