Mistral Large 4 vs Inkling
Mistral Large 4 leads Inkling on coding, 56.4 to 31.5 on the Vibe Coding Index, at about the same output price ($4.18 vs $4.05 per million). Updated October 21, 2026; 71 benchmarks have a result for both.
Mistral Large 4 or Inkling: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 31.5 for Inkling, though on 5 benchmarks against 6.
Pick Inkling for output tokens 1.0x cheaper ($4.05 vs $4.18 per million) and work measured by LiveBench coding or LiveBench research, where it leads.
- Shared results
- 71
- Mistral Large 4 only
- 10
- Inkling only
- 31
- 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 31.5.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1258 against 1224.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
Mistral Large 4 $0.0034, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling has the number, $0.76.
Directional only
At a glance
- Coding index
- Mistral Large 4 56.4 from 5 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Coding, 19.4 points apart on average over 14 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Mistral Large 4 78.4% against Inkling 19.2%, 59.2 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against Inkling $4.05 per million output tokens, 1.0x apart.
- Context window
- Mistral Large 4 takes 1.05M tokens, Inkling 524K.
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 | Inkling | Ties |
|---|---|---|---|---|
| Coding | 13 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 3 | ||
| Reasoning | 3 | 4 | ||
| Math | 5 | 1 | ||
| Knowledge | 1 | 5 | ||
| Web design | 9 | 0 | ||
| General | 5 | 14 | ||
| All shared boards | 43 | 28 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
| Benchmark | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | 60.0% | 64.0% | Inkling |
| LMArena WebDev | 1543 | 1414 | Mistral Large 4 |
| AA Coding Index | Not measured | 52.1 | Only Inkling measured |
| LiveCodeBench (Vals AI) | Not measured | 85.5% | Only Inkling measured |
| SWE-bench Verified (Vals AI) | Not measured | 77.6% | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | 27.8% | 0.5% | Mistral Large 4 |
| Vibe Code Bench (Vals AI) | 78.4% | 19.2% | Mistral Large 4 |
| Code migration (Vals AI) | 30.6% | 11.8% | Mistral Large 4 |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | 45.3% | 14.9% | Mistral Large 4 |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 47.6% | Only Inkling measured |
| SWE-bench Multimodal (Vals AI) | 33.1% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | 14.3% | 7.3% | Mistral Large 4 |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| SciCode | 54.2% | 47.0% | Mistral Large 4 |
| FrontierCode | 39.4% | 14.0% | Mistral Large 4 |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | Not measured | 32.3% | Only Inkling measured |
| ALE-Bench | 1213.2 | 946.0 | Mistral Large 4 |
| LMArena Text: coding | 1478 | 1466 | Mistral Large 4 |
| LMArena Text: software and IT | 1467 | 1465 | Mistral Large 4 |
| LMArena WebDev: React | 1559 | 1404 | Mistral Large 4 |
| LMArena WebDev: HTML | 1487 | 1399 | Mistral Large 4 |
| 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 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 25.0 | Mistral Large 4 |
| Epoch Capabilities Index | 150.0 | 148.4 | Mistral Large 4 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index53
| Benchmark | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Inkling measured |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | 28.1% | 59.9% | Inkling |
| LiveBench browser | 8.0% | 16.0% | Inkling |
| LiveBench long agentic | 11.8% | 14.1% | Inkling |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | 54.7% | 46.6% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 30.4% | 15.3% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 31.7% | 28.4% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | 17.5% | 3.8% | Mistral Large 4 |
| Excel Modeling Benchmark (Vals AI) | 56.2% | 38.4% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Mistral Large 4 measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | 83.9% | 78.3% | Mistral Large 4 |
| MysteryMechanism (Vals AI) | 12.2% | Not measured | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 87.2% | Only Inkling measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 31.9% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 88.1% | 88.3% | Inkling |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | Not measured | 50.0% | Only Inkling measured |
| Chess puzzles | 33.0% | 21.0% | Mistral Large 4 |
| Mystery game puzzles | 17.0% | Not measured | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1444 | 1451 | Inkling |
| LMArena Text: expert | 1444 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1442 | 1448 | Inkling |
| LMArena Vision: diagrams | 1288 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 88.9% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 58.6% | 33.3% | Mistral Large 4 |
| FrontierMath, tier 4 | 26.8% | 4.9% | Mistral Large 4 |
| ProofBench | 10.0% | 0.0% | Mistral Large 4 |
| LMArena Text: math | 1469 | 1479 | Inkling |
| LMArena Text: mathematical work | 1462 | 1460 | 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 | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.3% | Only Inkling measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CorpFin (Vals AI) | Not measured | 68.6% | Only Inkling measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Inkling measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedCode (Vals AI) | 40.7% | 41.2% | Inkling |
| SimpleQA Verified | 20.0% | 40.3% | Inkling |
| LMArena Text: science | 1448 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1433 | 1447 | Inkling |
| LMArena Text: legal and government | 1425 | 1448 | Inkling |
| LMArena Text: business and finance | 1439 | 1438 | Mistral Large 4 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | 1224 | Mistral Large 4 |
| Design Arena: UI components | 1275 | 1201 | Mistral Large 4 |
| Design Arena: game dev | 1226 | 1166 | Mistral Large 4 |
| Design Arena: data viz | 1274 | 1159 | Mistral Large 4 |
| Design Arena: 3D | 1253 | 1161 | Mistral Large 4 |
| Design Arena: all code categories | 1259 | 1206 | Mistral Large 4 |
| Design Arena: SVG | 1233 | 1110 | Mistral Large 4 |
| Design Arena: ASCII art | 1202 | 1089 | Mistral Large 4 |
| LiveBench design | 65.6% | 58.3% | Mistral Large 4 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index514
| Benchmark | Mistral Large 4 | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | 76.5% | 72.8% | Mistral Large 4 |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | Not measured | 36.5% | Only Inkling measured |
| MedScribe (Vals AI) | 80.4% | 85.4% | Inkling |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| Long context reasoning (AA-LCR) | 81.3% | 77.3% | Mistral Large 4 |
| DTBench | 88.2% | 87.5% | Mistral Large 4 |
| LMCA | 35.8% | 37.6% | Inkling |
| 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 | 1442 | Inkling |
| LMArena Text: instruction following | 1422 | 1425 | Inkling |
| LMArena Text: creative writing | 1363 | 1390 | Inkling |
| LMArena Vision | 1272 | Not measured | Only Mistral Large 4 measured |
| LMArena Text: English | 1433 | 1442 | Inkling |
| LMArena Text: non-English | 1422 | 1434 | Inkling |
| LMArena Text: Chinese | 1492 | 1493 | Inkling |
| LMArena Text: German | Not measured | 1445 | Only Inkling measured |
| LMArena Text: Japanese | 1415 | 1429 | Inkling |
| LMArena Text: Korean | Not measured | 1403 | Only Inkling measured |
| LMArena Text: French | 1492 | 1455 | Mistral Large 4 |
| LMArena Text: Spanish | 1455 | 1449 | Mistral Large 4 |
| LMArena Text: Russian | 1417 | 1430 | Inkling |
| LMArena Text: Polish | Not measured | 1450 | Only Inkling measured |
| LMArena Text: multi-turn | 1435 | 1437 | Inkling |
| LMArena Text: longer queries | 1428 | 1435 | Inkling |
| LMArena Text: writing and language | 1386 | 1404 | Inkling |
| LMArena Text: entertainment and media | 1378 | 1394 | Inkling |
| LMArena Vision: English | 1283 | Not measured | Only Mistral Large 4 measured |
| LMArena Vision: reading text | 1284 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 4 | Inkling | 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
Inkling costs less
Repository review
50K input + 3K output tokens
Inkling costs less
Agent loop
200K input + 10K output tokens
Inkling 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 | Thinking Machines Inkling |
|---|---|---|
| Maker | Mistral AI | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2026 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $1.36 | $0.975 |
| Output $/Mtok | $4.18 | $4.05 |
| Coding index | 56.4 | 31.5 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than Inkling for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 31.5 for Inkling, though on 5 benchmarks against 6. Pick Inkling for output tokens 1.0x cheaper ($4.05 vs $4.18 per million) and work measured by LiveBench coding or LiveBench research, where it leads.
Which is cheaper, Mistral Large 4 or Inkling?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; Inkling costs $0.975 and $4.05. Cost per solved task is known for Inkling only.
Which has the bigger context window, Mistral Large 4 or Inkling?
Mistral Large 4, with 1.05M tokens against 524K.
How many benchmarks is the Mistral Large 4 vs Inkling comparison based on?
71 benchmarks have a result for both models as of October 21, 2026. Mistral Large 4's coding index rests on 5 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.