Mistral Large 4 vs o4 Mini
Mistral Large 4 leads o4 Mini on the Artificial Analysis Intelligence Index, 38.4 to 16.7, at about the same output price ($4.18 vs $4.40 per million). Updated October 22, 2026; 50 benchmarks have a result for both.
vs boards won of 50 shared
Mistral Large 4 or o4 Mini: which to pick
Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
Model AMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
- Shared results
- 50
- Mistral Large 4 only
- 31
- o4 Mini only
- 48
- 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
Only Mistral Large 4 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 16.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o4 Mini has a GPQA Diamond result, 74.5%.
Directional only
Math
AIME
No call
Only o4 Mini has a AIME result, 83.7%.
Directional only
Knowledge
MMLU Pro
No call
Only o4 Mini has a MMLU Pro result, 80.6%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1257 against 985.
Same board, both measured
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
o4 Mini
Mistral Large 4 $0.0034, o4 Mini $0.0033 per turn.
List prices
At a glance
- Coding index
- Mistral Large 4 56.4 from 5 benchmarks, o4 Mini not benchmarked.
- Widest category
- Web design, 36.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- Design Arena: 3D: Mistral Large 4 1252 against o4 Mini 854, 49.8 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against o4 Mini $4.40 per million output tokens, 1.1x apart.
- Context window
- Mistral Large 4 takes 1.05M tokens, o4 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 4 | Bars | o4 Mini | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 5 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 6 | 0 | ||
| General | 21 | 0 | ||
| All shared boards | 50 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 72.0% | Only o4 Mini measured |
| SWE-bench Verified | Not measured | 64.6% | Only o4 Mini measured |
| SWE-bench Multimodal | Not measured | 33.9% | Only o4 Mini measured |
| LiveBench coding | 60.0% | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev | 1543 | Not measured | Only Mistral Large 4 measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only o4 Mini measured |
| Terminal-Bench 4 (Vals AI) | 27.8% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 78.4% | Not measured | Only Mistral Large 4 measured |
| Code migration (Vals AI) | 30.6% | Not measured | Only Mistral Large 4 measured |
| IOI (Vals AI) | 45.3% | Not measured | Only Mistral Large 4 measured |
| SWE-bench Multimodal (Vals AI) | 33.1% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | 14.3% | Not measured | Only Mistral Large 4 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 85.9% | Only o4 Mini measured |
| SciCode | 54.2% | Not measured | Only Mistral Large 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 15.2% | Only o4 Mini measured |
| FrontierCode | 39.4% | Not measured | Only Mistral Large 4 measured |
| GSO-Bench | Not measured | 3.6% | Only o4 Mini measured |
| WeirdML | Not measured | 52.6% | Only o4 Mini measured |
| ALE-Bench | 1213.2 | Not measured | Only Mistral Large 4 measured |
| LMArena Text: coding | 1478 | 1368 | Mistral Large 4 |
| LMArena Text: software and IT | 1467 | 1367 | Mistral Large 4 |
| LMArena WebDev: React | 1559 | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev: HTML | 1487 | Not measured | Only Mistral Large 4 measured |
| SciCode | Not measured | 10.8% | Only o4 Mini measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 16.7 | Mistral Large 4 |
| Epoch Capabilities Index | 150.0 | 145.5 | Mistral Large 4 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| LiveBench research | 28.1% | Not measured | Only Mistral Large 4 measured |
| LiveBench browser | 8.0% | Not measured | Only Mistral Large 4 measured |
| LiveBench long agentic | 11.8% | Not measured | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | 54.7% | Not measured | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | 30.4% | Not measured | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | 31.7% | Not measured | Only Mistral Large 4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 17.5% | Not measured | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 56.2% | Not measured | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Mistral Large 4 measured |
| τ²-Bench Telecom | Not measured | 55.6% | Only o4 Mini measured |
| METR time horizons | Not measured | 63.9% | Only o4 Mini measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 53.2% | Only o4 Mini measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 74.5% | Only o4 Mini measured |
| LiveBench reasoning | 83.9% | Not measured | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | 12.2% | Not measured | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | Not measured | 79.7% | Only o4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 78.4% | Only o4 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 16.5% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 88.1% | 79.6% | Mistral Large 4 |
| ARC-AGI | Not measured | 58.7% | Only o4 Mini measured |
| ARC-AGI-2 | Not measured | 6.1% | Only o4 Mini measured |
| SimpleBench | Not measured | 38.7% | Only o4 Mini measured |
| Chess puzzles | 33.0% | 22.0% | Mistral Large 4 |
| Mystery game puzzles | 17.0% | 5.0% | Mistral Large 4 |
| VPCT | Not measured | 57.5% | Only o4 Mini measured |
| LMArena Text: hard prompts | 1444 | 1351 | Mistral Large 4 |
| LMArena Text: expert | 1444 | 1343 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1442 | 1366 | Mistral Large 4 |
| LMArena Vision: diagrams | 1288 | 1197 | Mistral Large 4 |
| LMArena Vision: homework | Not measured | 1234 | Only o4 Mini measured |
| Kagi LLM Benchmark | Not measured | 67.6% | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 83.7% | Only o4 Mini measured |
| MATH 500 (Vals AI) | Not measured | 94.2% | Only o4 Mini measured |
| MGSM (Vals AI) | Not measured | 93.4% | Only o4 Mini measured |
| AA Math Index | Not measured | 90.7 | Only o4 Mini measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 90.7% | Only o4 Mini measured |
| OTIS Mock AIME | 98.3% | 81.7% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 58.6% | 36.1% | Mistral Large 4 |
| FrontierMath, tier 4 | 26.8% | 4.9% | Mistral Large 4 |
| ProofBench | 10.0% | Not measured | Only Mistral Large 4 measured |
| MATH level 5 | Not measured | 97.8% | Only o4 Mini measured |
| LMArena Text: math | 1469 | 1389 | Mistral Large 4 |
| LMArena Text: mathematical work | 1462 | 1379 | Mistral Large 4 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.6% | Only o4 Mini measured |
| LegalBench (Vals AI) | Not measured | 79.2% | Only o4 Mini measured |
| CorpFin (Vals AI) | Not measured | 59.0% | Only o4 Mini measured |
| TaxEval (Vals AI) | Not measured | 74.8% | Only o4 Mini measured |
| MortgageTax (Vals AI) | Not measured | 64.8% | Only o4 Mini measured |
| MedQA (Vals AI) | Not measured | 96.0% | Only o4 Mini measured |
| MedCode (Vals AI) | 40.7% | 33.8% | Mistral Large 4 |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.2% | Only o4 Mini measured |
| SimpleQA Verified | 20.0% | 19.6% | Mistral Large 4 |
| GeoBench | Not measured | 64.0% | Only o4 Mini measured |
| LMArena Text: science | 1448 | 1354 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1433 | 1361 | Mistral Large 4 |
| LMArena Text: legal and government | 1425 | 1350 | Mistral Large 4 |
| LMArena Text: business and finance | 1439 | 1325 | Mistral Large 4 |
| FACTS Benchmark Suite | Not measured | 28.1% | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | 985 | Mistral Large 4 |
| Design Arena: UI components | 1272 | 983 | Mistral Large 4 |
| Design Arena: game dev | 1225 | 1003 | Mistral Large 4 |
| Design Arena: data viz | 1275 | 991 | Mistral Large 4 |
| Design Arena: 3D | 1252 | 854 | Mistral Large 4 |
| Design Arena: all code categories | 1259 | 976 | Mistral Large 4 |
| Design Arena: SVG | 1232 | Not measured | Only Mistral Large 4 measured |
| Design Arena: ASCII art | 1202 | Not measured | Only Mistral Large 4 measured |
| LiveBench design | 65.6% | Not measured | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Mistral Large 4 | o4 Mini | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Mistral Large 4 measured |
| SAGE (Vals AI) | Not measured | 41.1% | Only o4 Mini measured |
| MedScribe (Vals AI) | 80.4% | 69.1% | Mistral Large 4 |
| IFBench | Not measured | 68.7% | Only o4 Mini measured |
| Long context reasoning (AA-LCR) | 81.3% | 61.0% | Mistral Large 4 |
| DTBench | 88.2% | 77.6% | Mistral Large 4 |
| LMCA | 35.8% | 26.5% | Mistral Large 4 |
| Fiction.LiveBench | Not measured | 77.8% | Only o4 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 75.0% | Only o4 Mini measured |
| Surface Evolver Bench | 28.1% | Not measured | Only Mistral Large 4 measured |
| Furniture assembly | 20.8% | Not measured | Only Mistral Large 4 measured |
| LMArena Text | 1431 | 1353 | Mistral Large 4 |
| LMArena Text: instruction following | 1422 | 1320 | Mistral Large 4 |
| LMArena Text: creative writing | 1363 | 1294 | Mistral Large 4 |
| LMArena Vision | 1272 | 1194 | Mistral Large 4 |
| LMArena Text: English | 1433 | 1367 | Mistral Large 4 |
| LMArena Text: non-English | 1422 | 1337 | Mistral Large 4 |
| LMArena Text: Chinese | 1492 | 1354 | Mistral Large 4 |
| LMArena Text: German | Not measured | 1336 | Only o4 Mini measured |
| LMArena Text: Japanese | 1415 | 1308 | Mistral Large 4 |
| LMArena Text: Korean | Not measured | 1312 | Only o4 Mini measured |
| LMArena Text: French | 1492 | 1364 | Mistral Large 4 |
| LMArena Text: Spanish | 1455 | 1346 | Mistral Large 4 |
| LMArena Text: Russian | 1417 | 1334 | Mistral Large 4 |
| LMArena Text: Polish | Not measured | 1358 | Only o4 Mini measured |
| LMArena Text: multi-turn | 1435 | 1350 | Mistral Large 4 |
| LMArena Text: longer queries | 1428 | 1315 | Mistral Large 4 |
| LMArena Text: writing and language | 1386 | 1316 | Mistral Large 4 |
| LMArena Text: entertainment and media | 1378 | 1308 | Mistral Large 4 |
| LMArena Vision: English | 1283 | 1200 | Mistral Large 4 |
| LMArena Vision: Chinese | Not measured | 1218 | Only o4 Mini measured |
| LMArena Vision: reading text | 1284 | 1197 | Mistral Large 4 |
| LMArena Vision: humor | Not measured | 1199 | Only o4 Mini measured |
| LMArena Vision: captioning | Not measured | 1204 | Only o4 Mini measured |
| LMArena Vision: recognizing things | Not measured | 1218 | Only o4 Mini measured |
| LMArena Vision: creative writing | Not measured | 1166 | Only o4 Mini measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 4 | o4 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 4$0.0034Fits in one request
o4 Mini$0.0033Fits in one request
o4 Mini costs less
Repository review
50K input + 3K output tokens
Mistral Large 4$0.081Fits in one request
o4 Mini$0.068Fits in one request
o4 Mini costs less
Agent loop
200K input + 10K output tokens
Mistral Large 4$0.314Fits in one request
o4 Mini$0.264Exceeds the context window
o4 Mini 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 4 | OpenAI o4 Mini |
|---|---|---|
| Maker | Mistral AI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 6, 2026 | April 16, 2025 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $1.36 | $1.10 |
| Output $/Mtok | $4.18 | $4.40 |
| Coding index | 56.4 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than o4 Mini for coding?
Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Mistral Large 4 or o4 Mini?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Large 4 or o4 Mini?
Mistral Large 4, with 1.05M tokens against 200K.
How many benchmarks is the Mistral Large 4 vs o4 Mini comparison based on?
50 benchmarks have a result for both models as of October 22, 2026. Mistral Large 4's coding index rests on 5 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.