Mistral Large 4 vs o3
Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 55.3 for Mistral Large 4.
Pick Mistral Large 4 when output tokens cost 1.9x less, or when the context window is larger, 1.05M against 200K tokens.
- Shared results
- 49
- Mistral Large 4 only
- 32
- o3 only
- 48
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
o3
o3 scores 70.7 against 55.3.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 20.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o3 has a GPQA Diamond result, 84.1%.
Directional only
Math
AIME
No call
Only o3 has a AIME result, 85.3%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 has a MMLU Pro result, 85.6%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1258 against 1036.
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
Mistral Large 4
Mistral Large 4 $0.0034, o3 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only o3 has the number, $0.571.
Directional only
At a glance
- Coding index
- Mistral Large 4 55.3 from 2 benchmarks, o3 70.7 from 2 benchmarks.
- Widest category
- Web design, 24.6 points apart on average over 5 shared benchmarks.
- Widest single gap
- Design Arena: UI components: Mistral Large 4 1275 against o3 1016, 32.4 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against o3 $8.00 per million output tokens, 1.9x apart.
- Context window
- Mistral Large 4 takes 1.05M tokens, o3 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 | o3 | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 6 | 2 | ||
| Math | 4 | 0 | ||
| Knowledge | 2 | 4 | ||
| Web design | 5 | 0 | ||
| General | 20 | 1 | ||
| All shared boards | 42 | 7 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
| Benchmark | Mistral Large 4 | o3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 81.3% | Only o3 measured |
| SWE-bench Verified | Not measured | 58.4% | Only o3 measured |
| SWE-bench Multimodal | Not measured | 36.0% | Only o3 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 | 83.9% | Only o3 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 | 80.8% | Only o3 measured |
| SciCode | 54.2% | Not measured | Only Mistral Large 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.1% | Only o3 measured |
| FrontierCode | 39.4% | Not measured | Only Mistral Large 4 measured |
| GSO-Bench | Not measured | 8.8% | Only o3 measured |
| WeirdML | Not measured | 52.4% | Only o3 measured |
| ALE-Bench | 1213.2 | 933.5 | Mistral Large 4 |
| LMArena Text: coding | 1478 | 1407 | Mistral Large 4 |
| LMArena Text: software and IT | 1467 | 1415 | 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 |
| 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 | o3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 20.2 | Mistral Large 4 |
| Epoch Capabilities Index | 150.0 | 146.7 | Mistral Large 4 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | Mistral Large 4 | o3 | 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 | 80.7% | Only o3 measured |
| METR time horizons | Not measured | 65.4% | Only o3 measured |
| GDPval | Not measured | 30.8% | Only o3 measured |
| DeepResearch Bench | Not measured | 45.2% | Only o3 measured |
| OSWorld | Not measured | 23.0% | Only o3 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Mistral Large 4 | o3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 84.1% | Only o3 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 | 80.4% | Only o3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 82.7% | Only o3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 20.1% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 88.1% | 81.8% | Mistral Large 4 |
| ARC-AGI | Not measured | 60.8% | Only o3 measured |
| ARC-AGI-2 | Not measured | 6.5% | Only o3 measured |
| SimpleBench | Not measured | 53.1% | Only o3 measured |
| Chess puzzles | 33.0% | 37.0% | o3 |
| Mystery game puzzles | 17.0% | 29.0% | o3 |
| VPCT | Not measured | 52.0% | Only o3 measured |
| LMArena Text: hard prompts | 1444 | 1402 | Mistral Large 4 |
| LMArena Text: expert | 1444 | 1402 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1442 | 1411 | Mistral Large 4 |
| LMArena Vision: diagrams | 1288 | 1220 | Mistral Large 4 |
| LMArena Vision: homework | Not measured | 1234 | Only o3 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Mistral Large 4 | o3 | Leader |
|---|---|---|---|
| AIME | Not measured | 85.3% | Only o3 measured |
| MATH 500 (Vals AI) | Not measured | 94.6% | Only o3 measured |
| MGSM (Vals AI) | Not measured | 91.8% | Only o3 measured |
| AA Math Index | Not measured | 88.3 | Only o3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 88.3% | Only o3 measured |
| OTIS Mock AIME | 98.3% | 84.4% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 58.6% | 33.3% | Mistral Large 4 |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Mistral Large 4 measured |
| ProofBench | 10.0% | Not measured | Only Mistral Large 4 measured |
| MATH level 5 | Not measured | 97.8% | Only o3 measured |
| LMArena Text: math | 1469 | 1426 | Mistral Large 4 |
| LMArena Text: mathematical work | 1462 | 1423 | 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 index24
| Benchmark | Mistral Large 4 | o3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.6% | Only o3 measured |
| LegalBench (Vals AI) | Not measured | 83.8% | Only o3 measured |
| CorpFin (Vals AI) | Not measured | 59.7% | Only o3 measured |
| TaxEval (Vals AI) | Not measured | 74.6% | Only o3 measured |
| MortgageTax (Vals AI) | Not measured | 65.7% | Only o3 measured |
| MedQA (Vals AI) | Not measured | 96.1% | Only o3 measured |
| MedCode (Vals AI) | 40.7% | 47.3% | o3 |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.3% | Only o3 measured |
| SimpleQA Verified | 20.0% | 49.4% | o3 |
| GeoBench | Not measured | 74.0% | Only o3 measured |
| LMArena Text: science | 1448 | 1429 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1433 | 1448 | o3 |
| LMArena Text: legal and government | 1425 | 1428 | o3 |
| LMArena Text: business and finance | 1439 | 1393 | Mistral Large 4 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Mistral Large 4 | o3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | 1036 | Mistral Large 4 |
| Design Arena: UI components | 1275 | 1016 | Mistral Large 4 |
| Design Arena: game dev | 1226 | 1034 | Mistral Large 4 |
| Design Arena: data viz | 1274 | 1200 | Mistral Large 4 |
| Design Arena: 3D | 1253 | Not measured | Only Mistral Large 4 measured |
| Design Arena: all code categories | 1259 | 1021 | Mistral Large 4 |
| Design Arena: SVG | 1232 | Not measured | Only Mistral Large 4 measured |
| Design Arena: ASCII art | 1203 | 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 index201
| Benchmark | Mistral Large 4 | o3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Mistral Large 4 measured |
| SAGE (Vals AI) | Not measured | 41.8% | Only o3 measured |
| MedScribe (Vals AI) | 80.4% | 76.7% | Mistral Large 4 |
| IFBench | Not measured | 71.4% | Only o3 measured |
| Long context reasoning (AA-LCR) | 81.3% | 74.7% | Mistral Large 4 |
| DTBench | 88.2% | 84.8% | Mistral Large 4 |
| LMCA | 35.8% | 39.7% | o3 |
| Fiction.LiveBench | Not measured | 88.9% | Only o3 measured |
| Creative writing (Lech Mazur) | Not measured | 83.9% | Only o3 measured |
| CL-bench | Not measured | 17.8% | Only o3 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 | 1410 | Mistral Large 4 |
| LMArena Text: instruction following | 1422 | 1368 | Mistral Large 4 |
| LMArena Text: creative writing | 1363 | 1359 | Mistral Large 4 |
| LMArena Vision | 1272 | 1214 | Mistral Large 4 |
| LMArena Text: English | 1433 | 1417 | Mistral Large 4 |
| LMArena Text: non-English | 1422 | 1401 | Mistral Large 4 |
| LMArena Text: Chinese | 1492 | 1437 | Mistral Large 4 |
| LMArena Text: German | Not measured | 1420 | Only o3 measured |
| LMArena Text: Japanese | 1415 | 1403 | Mistral Large 4 |
| LMArena Text: Korean | Not measured | 1370 | Only o3 measured |
| LMArena Text: French | 1492 | 1430 | Mistral Large 4 |
| LMArena Text: Spanish | 1455 | 1395 | Mistral Large 4 |
| LMArena Text: Russian | 1417 | 1406 | Mistral Large 4 |
| LMArena Text: Polish | Not measured | 1438 | Only o3 measured |
| LMArena Text: multi-turn | 1435 | 1405 | Mistral Large 4 |
| LMArena Text: longer queries | 1428 | 1372 | Mistral Large 4 |
| LMArena Text: writing and language | 1386 | 1372 | Mistral Large 4 |
| LMArena Text: entertainment and media | 1378 | 1373 | Mistral Large 4 |
| LMArena Vision: English | 1283 | 1221 | Mistral Large 4 |
| LMArena Vision: Chinese | Not measured | 1237 | Only o3 measured |
| LMArena Vision: reading text | 1284 | 1218 | Mistral Large 4 |
| LMArena Vision: humor | Not measured | 1222 | Only o3 measured |
| LMArena Vision: captioning | Not measured | 1210 | Only o3 measured |
| LMArena Vision: recognizing things | Not measured | 1234 | Only o3 measured |
| LMArena Vision: creative writing | Not measured | 1201 | Only o3 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 4 | o3 | 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 costs less
Repository review
50K input + 3K output tokens
Mistral Large 4 costs less
Agent loop
200K input + 10K output tokens
Mistral Large 4 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 o3 |
|---|---|---|
| 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 | $2.00 |
| Output $/Mtok | $4.18 | $8.00 |
| Coding index | 55.3 | 70.7 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $0.571 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than o3 for coding?
Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 55.3 for Mistral Large 4. Pick Mistral Large 4 when output tokens cost 1.9x less, or when the context window is larger, 1.05M against 200K tokens.
Which is cheaper, Mistral Large 4 or o3?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; o3 costs $2.00 and $8.00. Cost per solved task is known for o3 only.
Which has the bigger context window, Mistral Large 4 or o3?
Mistral Large 4, with 1.05M tokens against 200K.
How many benchmarks is the Mistral Large 4 vs o3 comparison based on?
49 benchmarks have a result for both models as of October 21, 2026. Mistral Large 4's coding index rests on 2 independent benchmarks and o3's on 2. Where only one model has a result, the page says so instead of naming a winner.