Grok 4.3 vs Mistral Large 4
Mistral Large 4 leads Grok 4.3 on coding, 56.4 to 37.4 on the Vibe Coding Index, and Grok 4.3 costs 1.7x less per output token ($2.50 vs $4.18 per million). Updated October 22, 2026; 62 benchmarks have a result for both.
Grok 4.3 or Mistral Large 4: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 37.4 for Grok 4.3.
Pick Grok 4.3 for output tokens 1.7x cheaper ($2.50 vs $4.18 per million) and work measured by Humanity's Last Exam (Artificial Analysis run) or GPQA Diamond (Epoch AI run), where it leads.
- Shared results
- 62
- Grok 4.3 only
- 43
- Mistral Large 4 only
- 19
- Like-for-like categories
- 8 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 37.4.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.3 has a AA Agentic Index result, 15.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.3 has a GPQA Diamond result, 91.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.3 has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1257 against 1196.
Same board, both measured
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.3
Grok 4.3 $0.0025, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.3 has the number, $0.31.
Directional only
At a glance
- Coding index
- Grok 4.3 37.4 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Agentic work, 23.8 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.3 19.4% against Mistral Large 4 78.4%, 59.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against Mistral Large 4 $4.18 per million output tokens, 1.7x apart.
- Context window
- Grok 4.3 takes 1M tokens, Mistral Large 4 1.05M.
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 | Grok 4.3 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 9 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 2 | 5 | ||
| Math | 1 | 5 | ||
| Knowledge | 1 | 5 | ||
| Web design | 0 | 8 | ||
| General | 3 | 18 | ||
| All shared boards | 7 | 55 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1358 | 1543 | Mistral Large 4 |
| AA Coding Index | 42.2 | Not measured | Only Grok 4.3 measured |
| LiveCodeBench (Vals AI) | 84.5% | Not measured | Only Grok 4.3 measured |
| SWE-bench Verified (Vals AI) | 71.4% | Not measured | Only Grok 4.3 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 19.4% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | 6.8% | 30.6% | Mistral Large 4 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.3 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | Not measured | Only Grok 4.3 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SkillsBench (Vals AI) | 40.6% | Not measured | Only Grok 4.3 measured |
| SciCode | 48.3% | 54.2% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | Not measured | Only Grok 4.3 measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 49.9% | Not measured | Only Grok 4.3 measured |
| ALE-Bench | 944.2 | 1213.2 | Mistral Large 4 |
| LMArena Text: coding | 1415 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1416 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1353 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1367 | 1487 | Mistral Large 4 |
| LMArena WebDev: from an image | 1375 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | Not measured | 150.0 | Only Mistral Large 4 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building web apps | 1126 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building full-stack apps | 1006 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building mobile apps | 1058 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | 962 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Godot games | 914 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building games | 1007 | Not measured | Only Grok 4.3 measured |
| Design Arena: HTML slides | 959 | Not measured | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | 988 | Not measured | Only Grok 4.3 measured |
| Design Arena: spreadsheets | 879 | Not measured | Only Grok 4.3 measured |
| LiveBench research | Not measured | 28.1% | Only Mistral Large 4 measured |
| LiveBench browser | Not measured | 8.0% | Only Mistral Large 4 measured |
| LiveBench long agentic | Not measured | 11.8% | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | 37.7% | 54.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 6.2% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 15.4% | 31.7% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 18.4% | 56.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| τ²-Bench Telecom | 97.7% | Not measured | Only Grok 4.3 measured |
| Vending-Bench 2 | $35 | Not measured | Only Grok 4.3 measured |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | Not measured | Only Grok 4.3 measured |
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | 83.1% | Not measured | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | 90.1% | Not measured | Only Grok 4.3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 35.0% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | 88.8% | 88.1% | Grok 4.3 |
| Chess puzzles | 18.0% | 33.0% | Mistral Large 4 |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1396 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1384 | 1444 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1402 | 1442 | Mistral Large 4 |
| LMArena Vision: diagrams | 1241 | 1288 | Mistral Large 4 |
| LMArena Vision: homework | 1241 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 42.8% | 58.6% | Mistral Large 4 |
| FrontierMath, tier 4 | 14.6% | 26.8% | Mistral Large 4 |
| ProofBench | 11.0% | 10.0% | Grok 4.3 |
| LMArena Text: math | 1387 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1396 | 1462 | Mistral Large 4 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | Not measured | Only Grok 4.3 measured |
| LegalBench (Vals AI) | 84.5% | Not measured | Only Grok 4.3 measured |
| CaseLaw (Vals AI) | 79.3% | Not measured | Only Grok 4.3 measured |
| CorpFin (Vals AI) | 68.5% | Not measured | Only Grok 4.3 measured |
| TaxEval (Vals AI) | 70.8% | Not measured | Only Grok 4.3 measured |
| MortgageTax (Vals AI) | 48.3% | Not measured | Only Grok 4.3 measured |
| MedCode (Vals AI) | 38.1% | 40.7% | Mistral Large 4 |
| SimpleQA Verified | 33.2% | 20.0% | Grok 4.3 |
| LMArena Text: science | 1399 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1384 | 1433 | Mistral Large 4 |
| LMArena Text: legal and government | 1386 | 1425 | Mistral Large 4 |
| LMArena Text: business and finance | 1381 | 1439 | Mistral Large 4 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1257 | Mistral Large 4 |
| Design Arena: UI components | 1190 | 1272 | Mistral Large 4 |
| Design Arena: game dev | 1173 | 1225 | Mistral Large 4 |
| Design Arena: data viz | 1179 | 1275 | Mistral Large 4 |
| Design Arena: 3D | 1124 | 1252 | Mistral Large 4 |
| Design Arena: all code categories | 1186 | 1259 | Mistral Large 4 |
| Design Arena: SVG | 1080 | 1232 | Mistral Large 4 |
| Design Arena: ASCII art | 1125 | 1202 | Mistral Large 4 |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index318
| Benchmark | Grok 4.3 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| Public Benefits Bench (Vals AI) | 51.7% | Not measured | Only Grok 4.3 measured |
| SAGE (Vals AI) | 19.7% | Not measured | Only Grok 4.3 measured |
| MedScribe (Vals AI) | 74.4% | 80.4% | Mistral Large 4 |
| Vals Multimodal Index | 43.3% | Not measured | Only Grok 4.3 measured |
| IFBench | 83.3% | Not measured | Only Grok 4.3 measured |
| Long context reasoning (AA-LCR) | 75.0% | 81.3% | Mistral Large 4 |
| DTBench | 90.7% | 88.2% | Grok 4.3 |
| LMCA | 38.3% | 35.8% | Grok 4.3 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | 1397 | 1431 | Mistral Large 4 |
| LMArena Text: instruction following | 1366 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1380 | 1363 | Grok 4.3 |
| LMArena Vision | 1229 | 1272 | Mistral Large 4 |
| LMArena Text: English | 1404 | 1433 | Mistral Large 4 |
| LMArena Text: non-English | 1385 | 1422 | Mistral Large 4 |
| LMArena Text: Chinese | 1422 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1395 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Japanese | 1379 | 1415 | Mistral Large 4 |
| LMArena Text: Korean | 1354 | Not measured | Only Grok 4.3 measured |
| LMArena Text: French | 1411 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1399 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1399 | 1417 | Mistral Large 4 |
| LMArena Text: Polish | 1398 | Not measured | Only Grok 4.3 measured |
| LMArena Text: multi-turn | 1406 | 1435 | Mistral Large 4 |
| LMArena Text: longer queries | 1393 | 1428 | Mistral Large 4 |
| LMArena Text: writing and language | 1385 | 1386 | Mistral Large 4 |
| LMArena Text: entertainment and media | 1370 | 1378 | Mistral Large 4 |
| LMArena Vision: English | 1235 | 1283 | Mistral Large 4 |
| LMArena Vision: Chinese | 1257 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: reading text | 1235 | 1284 | Mistral Large 4 |
| LMArena Vision: humor | 1222 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: recognizing things | 1217 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: creative writing | 1237 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.3 | Mistral Large 4 | 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
Grok 4.3 costs less
Repository review
50K input + 3K output tokens
Grok 4.3 costs less
Agent loop
200K input + 10K output tokens
Grok 4.3 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 | SpaceXAI Grok 4.3 | Mistral Large 4 |
|---|---|---|
| Maker | xAI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | April 30, 2026 | October 6, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $1.25 | $1.36 |
| Output $/Mtok | $2.50 | $4.18 |
| Coding index | 37.4 | 56.4 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | $0.31 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 37.4 for Grok 4.3. Pick Grok 4.3 for output tokens 1.7x cheaper ($2.50 vs $4.18 per million) and work measured by Humanity's Last Exam (Artificial Analysis run) or GPQA Diamond (Epoch AI run), where it leads.
Which is cheaper, Grok 4.3 or Mistral Large 4?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Grok 4.3 only.
Which has the bigger context window, Grok 4.3 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 1M.
How many benchmarks is the Grok 4.3 vs Mistral Large 4 comparison based on?
62 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.